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Comb particle evolution data from multiple files into one moment to moment, system state based file. Also visualize the data using matplotlib.
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| # From: https://gist.github.com/hdf/42f0895a091b4a6a6d5d9eeb5cca8edf | |
| import time, sys, os#, arrow | |
| import numpy as np | |
| import matplotlib | |
| import matplotlib.pyplot as plt | |
| import matplotlib.animation as animation | |
| import matplotlib.colors as colors | |
| import matplotlib.ticker as ticker | |
| import json | |
| # Usage: animate.py [input_file [output_file]] [save] [nocb] [ann] [nofo] [keep [max]] [lines [width] [only sizes_array]] [ne] [mirror_left] [mirror_right] [mirror_top] [mirror_bottom] | |
| # (if you want to set output_file, than you have to define input_file as well) | |
| # nocb means; don't draw the colorbar | |
| # ann means; show how many overlaps at each point | |
| # nofo means; don't use autofocus | |
| # keep means; keep old particle positions of previous frames (max means; at most, how many frames worth of particles to keep) | |
| # lines means; draw lines between changing particle coordinates (width means; the brush width of the line (float)) | |
| # only means; only draw lines for the given array of sizes, ex.: only [1000,2000] | |
| # ne means; don't draw earth | |
| switches = ['save', 'nocb', 'ann', 'nofo', 'keep', 'lines', 'only', 'ne', 'mirror_left', 'mirror_right', 'mirror_top', 'mirror_bottom'] | |
| f = open('out.txt' if len(sys.argv) < 2 or sys.argv[1] in switches else sys.argv[1], 'r') | |
| out = 'out.mp4' if len(sys.argv) < 3 or sys.argv[2] in switches else sys.argv[2] | |
| save = True if 'save' in sys.argv else False | |
| if not save: | |
| matplotlib.use('QtAgg') | |
| cb = True if 'nocb' not in sys.argv else False # draw colorbar | |
| ann = True if 'ann' in sys.argv else False | |
| nofo = True if 'nofo' in sys.argv else False | |
| keep = True if 'keep' in sys.argv else False | |
| lines = True if 'lines' in sys.argv else False | |
| only = [] | |
| if 'only' in sys.argv and len(sys.argv) >= sys.argv.index('only') + 1: | |
| try: | |
| only = list(map(float, json.loads(sys.argv[sys.argv.index('only') + 1]))) | |
| except: | |
| print("'only' parameter is not a valid float array. (Try no spaces.) Format: only [1000,2000])") | |
| exit() | |
| ki = None if not keep else sys.argv.index('keep') + 1 | |
| lw = None if not lines else sys.argv.index('lines') + 1 | |
| keep_max = 0 if ki is None or len(sys.argv) <= ki or not sys.argv[ki].isdigit() else int(sys.argv[ki]) | |
| linewidth = 1 if lw is None or len(sys.argv) <= lw or not sys.argv[lw].replace('.', '').isdigit() else float(sys.argv[lw]) | |
| dn = [] | |
| ne = True if 'ne' in sys.argv else False | |
| mirror_left = True if 'mirror_left' in sys.argv and 'mirror_right' not in sys.argv else False | |
| mirror_right = True if 'mirror_right' in sys.argv and 'mirror_left' not in sys.argv else False | |
| mirror_top = True if 'mirror_top' in sys.argv and 'mirror_bottom' not in sys.argv else False | |
| mirror_bottom = True if 'mirror_bottom' in sys.argv and 'mirror_top' not in sys.argv else False | |
| r = 6.373/40.0 # earth/sun radius | |
| t = 0 # current epoch | |
| max_dist = 10 # is needed for canvas size, (on request, we have "made the earth bigger") | |
| prev = None # previous epoch | |
| if not ne: | |
| #earth = plt.imread('earth.png') # https://eoimages.gsfc.nasa.gov/images/imagerecords/90000/90008/europe_vir_2016_lrg.png | |
| #earth = plt.imread('earth2.png') # https://upload.wikimedia.org/wikipedia/commons/2/22/Earth_Western_Hemisphere_transparent_background.png | |
| earth = plt.imread('Nap.jpg') | |
| github = plt.imread('github.png') # https://github.com/logos GitHub-Mark-Light-64px.png | |
| labor_logo = plt.imread('AstroPol-logo-ENG.jpg') | |
| start = time.time() # for runtime measurement | |
| scat = None # storage for the scatter plot object | |
| scat_lines = {} | |
| line_data = {} | |
| last_size = 0 # the particle size that sticks around for the longest | |
| sizes = set() # set of particle sizes | |
| max_p = None # starting amount of particles | |
| last_frame = start # for fps measurement | |
| last_fps = start | |
| fps = 0 | |
| annotations = [] | |
| #bk = w = h = None | |
| def preproc(): | |
| global max_dist, last_size, sizes | |
| frames = 1 | |
| prev = 0 | |
| while True: | |
| l = f.readline().strip().split() | |
| if len(l) < 1: # eof | |
| break | |
| m = np.nanmax([np.abs(float(l[1])), np.abs(float(l[2]))]) | |
| if not nofo and max_dist < m: | |
| max_dist = m | |
| #max_dist = np.nanmax([np.nanmax([np.abs(float(l[1])), np.abs(float(l[2]))]), max_dist]) | |
| sizes.add(float(l[4])) | |
| last_size = l[4] | |
| t = float(l[0]) | |
| if t != prev: | |
| frames += 1 | |
| prev = t | |
| f.seek(0) # go to the beginning of the file | |
| if not nofo: | |
| max_dist = int(max_dist + 1) | |
| return frames | |
| print('Preprocessing...', end = '', flush = True) | |
| colors_file = f.name.rpartition('/')[0] + '/colors.txt' | |
| if os.path.isfile(colors_file) and os.stat(colors_file).st_size > 2: | |
| with open(colors_file, 'r') as f2: | |
| for e in f2.read().split('\n'): | |
| if e != '': | |
| sizes.add(float(e.strip())) | |
| frames = preproc() # needed, so that the animation will know when to stop, also provides progress context | |
| sizes = sorted(sizes) | |
| if len(sizes) < 1: # empty file | |
| print('\rInput file is empty!') | |
| exit() | |
| def get_data_frame(t, prev): # read data for next epoch | |
| ret = [] | |
| if prev is not None: # we may already have the first element of the current epoch | |
| ret.append(prev) | |
| while True: | |
| line = f.readline().strip().split() | |
| if len(line) < 1 or float(line[0]) != t: # eof, or new epoch found | |
| break | |
| ret.append(line) | |
| return (ret, line if len(line) > 0 else None) # we might also provide the first element of the next epoch | |
| def update(i): | |
| global t, prev, max_p, last_frame, last_fps, fps, annotations, time_text, days_text, credits_text, gh, lab, dn | |
| ct = time.time() | |
| if ct - last_fps > 0.5: # update fps only every half seconds | |
| last_fps = ct | |
| fps = round(1 / (ct - last_frame)) | |
| last_frame = ct | |
| sleft = ((ct - start) / (i + 1)) * (frames - i - 1) | |
| if save: | |
| print('\rGenerating frame', i + 1, 'of', frames, 'frames at', fps, 'fps (' + str(int(sleft / 60)) + ':' + str(round(sleft - int(sleft / 60) * 60)), 'left)...', end = '', flush = True) | |
| data, prev = get_data_frame(t, prev) | |
| if prev is None: # looping | |
| t = 0 | |
| f.seek(0) | |
| init() | |
| data, prev = get_data_frame(t, prev) | |
| if len(prev) > 0 and len(data) < 1: # we are not at the beginning | |
| data, prev = get_data_frame(t, prev) | |
| #time_text.set_text(arrow.utcnow().shift(hours=t).humanize().partition(' ')[2]) # prettier but less precise time display | |
| days = float(prev[0]) | |
| hours = int(days * 24) | |
| minutes = int(days * 24 * 60 - hours * 60) | |
| seconds = int(days * 24 * 60 * 60 - hours * 60 * 60 - minutes * 60) | |
| time_text.set_text(str(int(days)) + ' days' if prev is not None else 0) | |
| #time_text.set_text(str(hours).zfill(2) + ':' + str(minutes).zfill(2) + ':' + str(seconds).zfill(2) if prev is not None else 0) | |
| #time_text.set_text(prev[0] if prev is not None else 0) | |
| if max_p is None: | |
| max_p = len(data) | |
| if prev is not None: # we only have 1 frame in total | |
| t = float(prev[0]) | |
| d = [] | |
| c = [] | |
| s = [] | |
| overlaps = {} | |
| if not save: | |
| print('\rCurrently displaying', len(data), 'of', max_p, 'particles (' + str(len([e for e in data if e[4] == last_size])), 'of same size of', len(sizes), 'sizes) at', fps, 'fps.', end = '', flush = True) | |
| for e in data: | |
| xy = [float(e[1]), float(e[2])] | |
| o = e[1] + '_' + e[2] # perfectly matching coordinates will be recorded, but not displayed | |
| if ann and o in s: | |
| overlaps[o] = (xy, overlaps[o][1] + 1) if o in overlaps else (xy, 2) | |
| else: | |
| if ann: | |
| s.append(o) | |
| d.append(xy) | |
| cf = float(e[4]) | |
| c.append(cf) # for colors using normalization | |
| if lines and (len(only) == 0 or cf in only): | |
| line_data[cf].append(xy) | |
| #c.append(np.log10(cf)) # scaling happens automatically, so we just logarithmically normalize | |
| #c.append(100 - (np.log10(cf) / (7 / 100))) # using logarithmic scale factor where 10000000 = 100 we scale to range 0-100, we also invert the value, the 7 comes from log10(max_dist_val) | |
| mh = False | |
| mv = False | |
| if (mirror_left and xy[0] < 0) or (mirror_right and xy[0] > 0): | |
| d.append([xy[0] * -1, xy[1]]) | |
| c.append(cf) | |
| mh = True | |
| if (mirror_top and xy[1] > 0) or (mirror_bottom and xy[1] < 0): | |
| d.append([xy[0], xy[1] * -1]) | |
| c.append(cf) | |
| mv = True | |
| if mh and mv: | |
| d.append([xy[0] * -1, xy[1] * -1]) | |
| c.append(cf) | |
| if keep: | |
| dn.append(len(d)) | |
| dn = dn[-keep_max:] | |
| k = int(np.sum(dn)) | |
| d = np.concatenate((scat.get_offsets(), d), axis = 0)[-k:] # extend particle coordinates | |
| c = np.append(scat.get_array(), c)[-k:] | |
| if lines: | |
| for e in scat_lines: | |
| lld = len(line_data[e]) | |
| if lld > 1: | |
| a = np.asarray(line_data[e]) | |
| mk = lld - 2 - keep_max | |
| if mk < 0 or keep_max < 1: | |
| mk = 0 | |
| scat_lines[e].set_data(a[mk:, 0], a[mk:, 1]) | |
| scat.set_offsets(d) # update particle coordinates | |
| scat.set_array(np.array(c)) # update colors (needed for color stabilisation, as color assignment would change when a particle is no longer tracked) | |
| if ann: | |
| for e in annotations: # we can't just move them, as the number may change as well, so best to just rebuild them | |
| e.remove() | |
| annotations[:] = [] | |
| if len(overlaps) <= 12: # let's display only 12 at most, as more would really slow us down | |
| for e in overlaps: # Never coming: https://github.com/Phlya/adjustText/blob/master/docs/source/Examples.ipynb | |
| annotations.append(ax.annotate(str(overlaps[e][1]) + ' overlapping', xy = overlaps[e][0], xytext = (overlaps[e][0][0] + 1, overlaps[e][0][1] + 2), va = 'bottom', ha = 'left', arrowprops = {'arrowstyle': '->'})) | |
| '''m = np.nanmax(np.abs(d)) | |
| max_dist = 10 | |
| if max_dist < m: | |
| max_dist = m | |
| time_text.set_position((-max_dist, max_dist)) | |
| days_text.set_position((-max_dist * 0.66, max_dist)) | |
| credits_text.set_position((max_dist * 0.9, -max_dist * 0.99)) | |
| mdm = 1.4 * max_dist / 20 | |
| gh.set_extent((max_dist - mdm, max_dist, -max_dist, -max_dist + mdm)) | |
| ax.set_xlim(-max_dist, max_dist) | |
| ax.set_ylim(-max_dist, max_dist)''' | |
| return scat | |
| def shiftedColorMap(cmap, start = 0, midpoint = 0.5, stop = 1.0, name='shiftedcmap'): # from: https://gist.github.com/phobson/7916777 | |
| ''' | |
| Function to offset the "center" of a colormap. Useful for | |
| data with a negative min and positive max and you want the | |
| middle of the colormap's dynamic range to be at zero | |
| Input | |
| ----- | |
| cmap : The matplotlib colormap to be altered | |
| start : Offset from lowest point in the colormap's range. | |
| Defaults to 0.0 (no lower ofset). Should be between | |
| 0.0 and 1.0. | |
| midpoint : The new center of the colormap. Defaults to | |
| 0.5 (no shift). Should be between 0.0 and 1.0. In | |
| general, this should be 1 - vmax/(vmax + abs(vmin)) | |
| For example if your data range from -15.0 to +5.0 and | |
| you want the center of the colormap at 0.0, `midpoint` | |
| should be set to 1 - 5/(5 + 15)) or 0.75 | |
| stop : Offset from highets point in the colormap's range. | |
| Defaults to 1.0 (no upper ofset). Should be between | |
| 0.0 and 1.0. | |
| ''' | |
| cdict = { | |
| 'red': [], | |
| 'green': [], | |
| 'blue': [], | |
| 'alpha': [] | |
| } | |
| # regular index to compute the colors | |
| reg_index = np.linspace(start, stop, 257) | |
| # shifted index to match the data | |
| shift_index = np.hstack([ | |
| np.linspace(0.0, midpoint, 128, endpoint = False), | |
| np.linspace(midpoint, 1.0, 129, endpoint = True) | |
| ]) | |
| for ri, si in zip(reg_index, shift_index): | |
| r, g, b, a = cmap(ri) | |
| cdict['red'].append((si, r, r)) | |
| cdict['green'].append((si, g, g)) | |
| cdict['blue'].append((si, b, b)) | |
| cdict['alpha'].append((si, a, a)) | |
| newcmap = colors.LinearSegmentedColormap(name, cdict) | |
| plt.register_cmap(cmap = newcmap) | |
| return newcmap | |
| def init(): | |
| global scat, scat_lines, time_text, days_text, credits_text, gh, lab, cb#, bk, w, h | |
| ax.cla() | |
| time_text = ax.text(-max_dist, max_dist, '', fontsize = '10', weight = 'bold') | |
| #days_text = ax.text(-max_dist * 0.66, max_dist, 'days', fontsize = '10', weight = 'bold') | |
| credits_text = ax.text(max_dist * 0.9, -max_dist * 0.99, 'Visualization: hdf', fontsize = '8', fontstyle = 'italic', family = 'sans-serif', horizontalalignment = 'right', verticalalignment = 'bottom') | |
| mdm = 1.4 * max_dist / 20 # scaling factor for the GitHublogo | |
| mdm2 = 1.4 * max_dist / 3.8 # scaling factor for the labor_logo | |
| gh = ax.imshow(github, extent = (max_dist - mdm, max_dist, -max_dist, -max_dist + mdm)) # github logo | |
| lab = ax.imshow(labor_logo, extent = (-max_dist, -max_dist + mdm2, -max_dist, -max_dist + 1.31*mdm2)) # labor logo | |
| ax.set_axis_off() | |
| ax.set_xlim(-max_dist, max_dist) | |
| ax.set_ylim(-max_dist, max_dist) | |
| if not ne: | |
| ax.add_patch(plt.Circle((0,0), radius = r, zorder = -1)) # curcular halo, used to be earth, before it got pretty | |
| im = ax.imshow(earth, extent = (-r * 1.14 + 0.05, r * 1.14 + 0.05, -r * 1.14 + 0.06, r * 1.14 + 0.06)) | |
| #im = ax.imshow(earth, extent = (-r * 1.29 - 0.03, r * 1.29 - 0.03, -r * 1.05 - 0.09, r * 1.05 - 0.09)) # ugly scaling of the image, as earth is not precisely in the center, and is not perfectly round | |
| im.set_clip_path(plt.Circle((0, 0), radius = r, transform = ax.transData)) # cut away the black background of the image | |
| d = {'x': [], 'y': [], 'color': []} | |
| scat = ax.scatter('x', 'y', s = 0.1, c = 'color', cmap = cmap, norm = norm, data = d) # using (shifted) logarithmic colormap | |
| for s in sizes: | |
| scat_lines[s], = ax.plot([], [], color=cmap(norm(s)), linewidth = linewidth) | |
| line_data[s] = [] | |
| #scat = ax.scatter('x', 'y', s = 1, c = 'color', cmap = 'rainbow', vmin = sizes[0], vmax = sizes[-1], data = d) # using linear colormap | |
| #scat = ax.scatter('x', 'y', s = 1, c = 'color', data = d) # specifying colors manually | |
| if cb is True: | |
| #ax.set_aspect('equal') | |
| #values = np.logspace(scaled_sizes[0], scaled_sizes[-1], 256, endpoint = True) | |
| #ticks = [10**e for e in scaled_sizes if e.is_integer()] | |
| if hasattr(ticker.ScalarFormatter(useOffset = False, useMathText = True), '_formatSciNotation'): # Changed in 3.4.0: https://github.com/matplotlib/matplotlib/pull/18506/ | |
| cb = fig.colorbar(scat, shrink = 0.5, use_gridspec = True, format = ticker.FuncFormatter(lambda x, pos: r'${} $ mm'.format(ticker.ScalarFormatter(useOffset = False, useMathText = True)._formatSciNotation('%.10e' % (x / 1000))))) | |
| #cb = fig.colorbar(scat, shrink = 0.5, use_gridspec = True, format = ticker.FuncFormatter(lambda x, pos: r'${} \mu$m'.format(ticker.ScalarFormatter(useOffset = False, useMathText = True)._formatSciNotation('%.10e' % x)))) | |
| else: | |
| cb = fig.colorbar(scat, shrink = 0.5, use_gridspec = True, format = ticker.FuncFormatter(lambda x, pos: r'${} $ mm'.format(ticker.ScalarFormatter(useOffset = False, useMathText = True).format_data(x / 1000)))) | |
| fig.tight_layout(pad = 0, rect = (-0.06, -0.05, 1, 1)) | |
| #fig.tight_layout(pad = 0, rect = (-0.04, -0.05, 1, 1)) | |
| #buf, (width, height) = fig.canvas.print_to_buffer() | |
| #w = width / 2 / 10 | |
| #h = height / 2 / 10 | |
| #bk = np.fromstring(buf, np.uint8).reshape((height, width, 4)) | |
| #plt.imshow(bk, aspect = 'auto', extent = (-w, w, -h, h)) | |
| #cb.remove() | |
| #cb = None | |
| #plt.imsave('out2.png', bk) | |
| elif cb is False: | |
| fig.tight_layout(pad = 0, rect = (-0.1, -0.03, 1, 0.97)) | |
| #fig.tight_layout(pad = 0, rect = (-0.07, -0.04, 1, 1)) | |
| ax.set_aspect('equal') | |
| #input("Press Enter to continue...") | |
| #exit() | |
| return scat | |
| plt.style.use('dark_background') | |
| if cb is True: | |
| fig, ax = plt.subplots(figsize = (6, 5)) | |
| else: | |
| fig, ax = plt.subplots(figsize = (5, 5)) | |
| if len(sizes) < 2: | |
| sizes = [1] + sizes | |
| scaled_sizes = [np.log10(e) for e in sizes] | |
| m = (np.median(scaled_sizes) - scaled_sizes[0]) / (scaled_sizes[-1] - scaled_sizes[0]) | |
| print('\rMidpoint shifted', 'up' if m >= 0.5 else 'down', 'by', round(np.abs(m - 0.5) * 100, 2), '\b% on the colorbar.') | |
| cmap = shiftedColorMap(plt.get_cmap('rainbow'), 0, m, 1) | |
| norm = colors.LogNorm(sizes[0], sizes[-1]) | |
| ani = animation.FuncAnimation(fig, update, frames = frames, init_func = init, interval = 30) | |
| if save: | |
| #ani.save('out.gif', writer='imagemagick', fps = 30) | |
| ani.save(out, fps = 30, dpi = 240) | |
| else: | |
| plt.show() | |
| f.close() | |
| print('\nCompleted processing in', format(time.time() - start, '.3f'), 'seconds.') | |
| # For profiling: | |
| #python -m cProfile -o animate.prof animate.py | |
| #snakeviz animate.prof | |
| #python -OO -m compileall ./ | |
| # For embedding in to html: | |
| #<video width="640" height="480" autoplay loop> | |
| # <source src="out.mp4" type="video/mp4"> | |
| #</video> |
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Learn more about bidirectional Unicode characters
| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8"> | |
| <title>Spline Chart</title> | |
| <meta name="viewport" content="width=device-width, initial-scale=1"> | |
| <link href="https://cdnjs.cloudflare.com/ajax/libs/c3/0.6.12/c3.min.css" rel="stylesheet"> | |
| <script src="https://ajax.googleapis.com/ajax/libs/d3js/5.7.0/d3.min.js" charset="utf-8"></script> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/c3/0.6.12/c3.min.js"></script> | |
| </head> | |
| <body> | |
| <div class="container"> | |
| <div id="chart"></div> | |
| </div> | |
| <script> | |
| var superscript = '⁰¹²³⁴⁵⁶⁷⁸⁹⁻', | |
| formatPower = function(d) { return (d + '').split('').map(function(c) { return (c === '-') ? superscript[superscript.length - 1] : superscript[c]; }).join(''); }; | |
| var chart = {}; | |
| d3.dsv('\t', '/out_stats.txt').then(function(d) { | |
| //d = d.map(e => ({'Duration': parseFloat(e.Duration), 'Scaled': parseFloat(e.Scaled)})); | |
| d2 = []; | |
| var max = 0; | |
| var c = 0; | |
| d.forEach(e => { | |
| var tmp = {}; | |
| var v = e.Particle.substring(e.Particle.lastIndexOf('_h') + 2); | |
| var sc = Math.log10(parseFloat(e.Size)); | |
| var c = 0; | |
| for (var i = d2.length - 1; i >= 0; i--) { // See if we already have a data point of this class | |
| if (d2[i]['Scaled'] === sc && d2[i].hasOwnProperty(v)) { | |
| c++; | |
| break; | |
| } | |
| } | |
| if (c > 0) { // We throw out data that would overload the graph | |
| v += '_' + c; | |
| } else { | |
| tmp[v] = (new Date(null)).setSeconds(parseFloat(e.Duration) * 24 * 60 * 60); | |
| tmp['Scaled'] = sc; | |
| if (sc > max) max = sc; | |
| d2.push(tmp); | |
| } | |
| }); | |
| var ks = new Set(); | |
| d2.forEach(e => Object.keys(e).forEach(e2 => ks.add(e2))); | |
| ks = Array.from(ks); | |
| c3.generate({ | |
| bindto: '#chart', | |
| data: { | |
| json: d2, | |
| keys: { | |
| value: ks | |
| }, | |
| x: 'Scaled', | |
| //type: 'scatter', | |
| type: 'spline', | |
| hide: ks.filter((e, i) => ![0, 3].includes(i)) | |
| }, | |
| axis: { | |
| x: { | |
| tick: { | |
| //format: function(d) { return '10' + formatPower(Math.round(Math.log(d, 10))) + ' μm'; } | |
| //format: function(d) { return '10' + formatPower(Math.round(d)) + ' μm'; } | |
| format: function(d) { return '10' + formatPower(Math.round(d - 3)) + ' mm'; }, | |
| count: max + 1 | |
| } | |
| //type: 'category' | |
| }, | |
| y: { | |
| type: 'timeseries', | |
| tick: { | |
| format: function(d) { return new Date(d).toTimeString().substring(0, 8); } | |
| } | |
| /*tick: { | |
| format: function(d) { return d + ' days'; } | |
| }*/ | |
| } | |
| }, | |
| tooltip: { | |
| format: { | |
| //name: function (name, ratio, id, index) { return ''; } | |
| } | |
| }, | |
| zoom: { | |
| enabled: true | |
| }, | |
| line: { | |
| connectNull: true | |
| } | |
| }); | |
| }); | |
| </script> | |
| </body> | |
| </html> |
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| import time, sys, os | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import matplotlib.ticker as ticker | |
| data = np.genfromtxt('meret_leeses_Kepler_sorozat.txt' if len(sys.argv) < 2 else sys.argv[1], delimiter = '\t', skip_header = 1, dtype = None, encoding = None) | |
| out = 'out_stats.png' if len(sys.argv) < 3 else sys.argv[2] | |
| x = [] | |
| y = [] | |
| for e in data: | |
| x.append(e[0]) | |
| y.append(e[1:]) | |
| y = np.array(y) | |
| for i in range(len(y[0])): | |
| plt.loglog(x, y[:,i], '.-') | |
| plt.gca().xaxis.set_major_formatter(ticker.FuncFormatter(lambda x, pos: r'${} $ mm'.format(ticker.ScalarFormatter(useOffset = False, useMathText = True)._formatSciNotation('%.10e' % x)))) | |
| plt.gca().yaxis.set_major_formatter(ticker.FuncFormatter(lambda x, pos: r'${} $ hours'.format(round(x * 24, 2)))) | |
| plt.gcf().tight_layout(pad = 0, rect = (0, 0, 1, 1)) | |
| plt.savefig(out, dpi = 200) | |
| plt.show() |
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| # From: https://gist.github.com/hdf/42f0895a091b4a6a6d5d9eeb5cca8edf | |
| import sys, os, time | |
| # filename format: data/1_100.txt | |
| # Usage: comb.py [data_dir] [output_file] [max_frames [start_frame [intervall]]] | |
| # (all parameters are optional, as is the order (except for the numbers, they need to be last and in order) | |
| dir = 'data' if len(sys.argv) < 2 or sys.argv[1].replace('.', '', 1).isdigit() or not os.path.isdir(sys.argv[1]) else sys.argv[1] | |
| dir = sys.argv[2] if len(sys.argv) > 2 and os.path.isdir(sys.argv[2]) else dir | |
| file = 'out.txt' if len(sys.argv) < 2 or sys.argv[1].replace('.', '', 1).isdigit() or os.path.isdir(sys.argv[1]) else sys.argv[1] | |
| file = sys.argv[2] if len(sys.argv) > 2 and not os.path.isdir(sys.argv[2]) and not sys.argv[2].replace('.', '', 1).isdigit() else file | |
| max_frames = [int(e) if e.isdigit() else float(e) for e in sys.argv if e.replace('.', '', 1).isdigit()] # find numeric parameters | |
| step = 0 if len(max_frames) < 2 else max_frames[1] | |
| intervall = 0.0001 if len(max_frames) < 3 else max_frames[2] | |
| max_frames = 0 if len(max_frames) < 1 else max_frames[0] | |
| #particles = os.listdir(dir) | |
| particles = [] | |
| dl = len(dir) + 1 | |
| for (dirpath, dirnames, filenames) in os.walk(dir): | |
| particles += [os.path.join(dirpath, file).replace('\\', '/')[dl:] for file in filenames] | |
| total = len(particles) | |
| states = {} | |
| start = time.time() | |
| curr = 0 # just for tracking, number of entries read | |
| written = 0 # just for tracking, how many lines were written | |
| units = {'um': 1, 'mm': 1e3, 'cm': 1e4, 'm': 1e6, 'km': 1e9} # for converting units to a pure number | |
| sizes = set() | |
| def cleanup(to_remove): # remove no longer tracked particles from all relevant lists | |
| global particles, states | |
| for particle in to_remove: | |
| particles.remove(states[particle]['particle']) | |
| del states[particle] | |
| def next_state(): | |
| global step, states, curr | |
| #c = curr | |
| #while c == curr and len(states) > 0: # skip moment if no change, commented out as it causes frame skips | |
| to_remove = [] # bucket for particles that have no more data for us | |
| t = step * intervall # safer to multiply than to add, with python's wonky float precision | |
| for state in states: # update states to the latest, that is just later than the curernt epoch | |
| h = open(dir + '/' + states[state]['particle'], 'r') | |
| h.seek(states[state]['loc']) | |
| while states[state]['state'] is None or float(states[state]['state'][0]) < t: # keep reading until eof or have data in current moment | |
| states[state]['state'] = h.readline().strip().split() | |
| if len(states[state]['state']) == 0: # eof | |
| to_remove.append(state) | |
| break | |
| curr += 1 | |
| states[state]['loc'] = h.tell() | |
| h.close() | |
| step += 1 # next moment please | |
| cleanup(to_remove) | |
| def build_states(): # initialise 'states' data structure, based on files found in the data directory | |
| global states, curr | |
| for particle in particles: | |
| p = particle.rpartition('/')[2].rpartition('.')[0].replace('_r0_', '_r0.').split('_') | |
| if p[1][:1].isdigit() and p[1][-1:].isdigit(): # do we have a pure number, or the unit based version | |
| s = float(p[1]) | |
| elif not p[1][:1].isdigit() and p[1][-1:].isdigit(): | |
| s = float(p[1][1:]) | |
| else: | |
| l = 1 if p[1][-2:-1].isdigit() else 2 # one or two letter unit | |
| s = float(p[1][1:-l]) * units[p[1][-l:]] # convert unit based number to thousandth of millimeter based number (micrometer) | |
| sizes.add(str(s).rstrip('0').rstrip('.')) | |
| states[''.join(particle.rpartition('.')[0].split())] = {'particle': particle, 'size': s, 'loc': 0, 'state': None} | |
| def write_new(): # write the new file, that is epoch based, from multiple unsynchronized particle evolution data files | |
| global written | |
| build_states() | |
| f = open(file, 'w') | |
| while len(states) > 0 and (max_frames < 1 or step < max_frames): | |
| next_state() | |
| print('\r(' + str(round((((total - len(states)) + 1) / total) * 100)) + '% complete) processing', len(states), 'file(s)...', end = '', flush = True) | |
| t = format((step - 1) * intervall, '.6f') | |
| for state in states: | |
| y = 2 if len(states[state]['state']) == 3 else 3 # due to difference between vector and coordinates based files | |
| f.write(t + '\t' + str(states[state]['state'][1]) + '\t' + str(states[state]['state'][y]) + '\t' + state + '\t' + str(states[state]['size']).rstrip('0').rstrip('.') + '\n') | |
| written += 1 | |
| f.close() | |
| if file.rpartition('/')[0].rpartition('/')[0].rpartition('/')[2] == 'tmp': | |
| with open(file.rpartition('/')[0] + '/colors_' + file.rpartition('/')[2], 'w') as f2: | |
| f2.write('\n'.join(sorted(sizes)) + '\n') | |
| write_new() | |
| print('\rCompleted processing', curr - 1, 'entries (' + str(step - 1) + ' frames) in', format(time.time() - start, '.3f'), 'seconds.') | |
| print('Written', written, 'entries.') |
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| @echo off | |
| cls | |
| del combined.txt > nul | |
| rem type *.txt >> combined.txt | |
| rem for /R %%f in (*.txt) do type "%%f" >> combined.txt | |
| for /d %%d in (*) do ( | |
| cd %~dp0%%d | |
| del combined.txt > nul | |
| type *.txt >> combined.txt | |
| for %%R in (combined.txt) do if %%~zR lss 1 del combined.txt > nul | |
| ) | |
| cd %~dp0 | |
| for /R %%f in (combined.txt) do type "%%f" >> combined.txt |
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| # From: https://gist.github.com/hdf/42f0895a091b4a6a6d5d9eeb5cca8edf | |
| import sys, os, math | |
| # Usage: get_durations.py [data_dir] [output_file] | |
| dir = 'data' if len(sys.argv) < 2 or sys.argv[1].replace('.', '', 1).isdigit() or not os.path.isdir(sys.argv[1]) else sys.argv[1] | |
| dir = sys.argv[2] if len(sys.argv) > 2 and os.path.isdir(sys.argv[2]) else dir | |
| dl = len(dir) + 1 | |
| file = 'out_stats.txt' if len(sys.argv) < 2 or sys.argv[1].replace('.', '', 1).isdigit() or os.path.isdir(sys.argv[1]) else sys.argv[1] | |
| file = sys.argv[2] if len(sys.argv) > 2 and not os.path.isdir(sys.argv[2]) and not sys.argv[2].replace('.', '', 1).isdigit() else file | |
| units = {'um': 1, 'mm': 1e3, 'cm': 1e4, 'm': 1e6, 'km': 1e9} | |
| particles = [] | |
| for (dirpath, dirnames, filenames) in os.walk(dir): | |
| particles += [os.path.join(dirpath, file).replace('\\', '/') for file in filenames] | |
| out = [] | |
| for particle in particles: | |
| with open(particle, 'r') as f: | |
| first = float(f.readline().strip().partition('\t')[0]) | |
| f.seek(os.stat(particle).st_size - 1024) | |
| last = float(f.read().rsplit('\n', 2)[1].strip().partition('\t')[0]) | |
| #''.join(particle[dl:].rpartition('.')[0].split()) | |
| p = particle.rpartition('/')[2].rpartition('.')[0].replace('_r0_', '_r0.').split('_') | |
| if p[1][:1].isdigit() and p[1][-1:].isdigit(): | |
| s = float(p[1]) | |
| elif not p[1][:1].isdigit() and p[1][-1:].isdigit(): | |
| s = float(p[1][1:]) | |
| else: | |
| l = 1 if p[1][-2:-1].isdigit() else 2 | |
| s = float(p[1][1:-l]) * units[p[1][-l:]] | |
| #out.append([s, format(last - first, '.6f')]) | |
| out.append([s, last - first, particle[dl:].rpartition('.')[0]]) | |
| #out = sorted(out, key = lambda x: int(x[0].rpartition('/')[2].partition('_')[0])) | |
| out = sorted(out, key = lambda x: x[0]) | |
| out = [[str(e[0]).rstrip('0').rstrip('.'), str(e[1]).rstrip('0').rstrip('.'), e[2]] for e in out] | |
| out = '\n'.join(['\t'.join(e) for e in out]) + '\n' | |
| with open(file, 'w') as f: | |
| f.write('Size\tDuration\tParticle\n' + out) | |
| # To serve local dir: python -m http.server 8000 |
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| <!DOCTYPE HTML> | |
| <html> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title>vis.js Plot</title> | |
| <style> | |
| body {font: 10pt arial;} | |
| #mygraph { | |
| display: inline-block; | |
| border: 1px solid black; | |
| background-image: url('./Labor-logo_feliratos.jpg'), | |
| url("data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg' role='img' viewBox='0 0 24 24'><path d='M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12'/></svg>"), | |
| url("data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg' width='128px' height='32px'><text x='0' y='18' fill='black' font-size='16' font-style='italic' font-weight='bold'>Visualization: hdf</text></svg>"); | |
| background-repeat: no-repeat; | |
| background-position: left bottom, right 6px bottom 4px, right 36px bottom; | |
| background-size: 179px 240px, 32px 32px, 128px 32px; | |
| resize: both; | |
| overflow: auto; | |
| } | |
| .dropbtn { | |
| background-color: #aaa; | |
| color: white; | |
| padding: 16px; | |
| font-size: 16px; | |
| border: none; | |
| cursor: pointer; | |
| border-radius: 5px; | |
| line-height: 17px; | |
| visibility: hidden; | |
| } | |
| .dropdown { | |
| position: fixed; | |
| top: 8px; | |
| right: 8px; | |
| display: inline-block; | |
| z-index: 1; | |
| opacity: 0.8; | |
| } | |
| .dropdown-content { | |
| right: 0; | |
| display: none; | |
| position: absolute; | |
| background-color: #f9f9f9; | |
| min-width: 160px; | |
| max-width: calc(100vw - 35px); | |
| box-shadow: 0px 8px 16px 0px rgba(0,0,0,0.2); | |
| z-index: 1; | |
| max-height: calc(100vh - 80px); | |
| overflow-y: auto; | |
| } | |
| .dropdown-content a { | |
| color: black; | |
| padding: 12px 18px; | |
| text-decoration: none; | |
| display: block; | |
| } | |
| .dropdown-content a:hover {background-color: #f1f1f1} | |
| .dropdown:hover .dropdown-content {display: block;} | |
| .dropdown:hover .dropbtn {background-color: #bbb;} | |
| .dropdown .selected {background-color: #ccc !important;} | |
| </style> | |
| <script src="https://unpkg.com/vis-graph3d/dist/vis-graph3d.min.js"></script> | |
| <script type="text/javascript"> | |
| if (!navigator.onLine) { | |
| //From: https://cdnjs.cloudflare.com/ajax/libs/vis/4.21.0/vis-graph3d.min.js | |
| //Newer version from: https://visjs.org/ | |
| /** | |
| * vis.js | |
| * https://github.com/almende/vis | |
| * | |
| * A dynamic, browser-based visualization library. | |
| * | |
| * @version 4.20.1-SNAPSHOT | |
| * @date 2017-10-12 | |
| * | |
| * @license | |
| * Copyright (C) 2011-2017 Almende B.V, http://almende.com | |
| * | |
| * Vis.js is dual licensed under both | |
| * | |
| * * The Apache 2.0 License | |
| * http://www.apache.org/licenses/LICENSE-2.0 | |
| * | |
| * and | |
| * | |
| * * The MIT License | |
| * http://opensource.org/licenses/MIT | |
| * | |
| * Vis.js may be distributed under either license. | |
| */ | |
| "use strict";!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.vis=e():t.vis=e()}(this,function(){return function(t){function e(i){if(n[i])return n[i].exports;var r=n[i]={i:i,l:!1,exports:{}};return t[i].call(r.exports,r,r.exports,e),r.l=!0,r.exports}var n={};return e.m=t,e.c=n,e.d=function(t,n,i){e.o(t,n)||Object.defineProperty(t,n,{configurable:!1,enumerable:!0,get:i})},e.n=function(t){var n=t&&t.__esModule?function(){return t.default}:function(){return t};return e.d(n,"a",n),n},e.o=function(t,e){return Object.prototype.hasOwnProperty.call(t,e)},e.p="",e(e.s=56)}([function(t,e){var n=t.exports={version:"2.5.1"};"number"==typeof __e&&(__e=n)},function(t,e){var n=t.exports="undefined"!=typeof window&&window.Math==Math?window:"undefined"!=typeof self&&self.Math==Math?self:Function("return this")();"number"==typeof __g&&(__g=n)},function(t,e,n){var i=n(28)("wks"),r=n(17),o=n(1).Symbol,s="function"==typeof o;(t.exports=function(t){return i[t]||(i[t]=s&&o[t]||(s?o:r)("Symbol."+t))}).store=i},function(t,e,n){function i(t){return t&&t.__esModule?t:{default:t}}function r(t,e,n,i){var r=!1;!0===i&&(r=null===e[n]&&void 0!==t[n]),r?delete t[n]:t[n]=e[n]}var o=n(57),s=i(o),a=n(75),u=i(a),h=n(18),l=i(h),c=n(19),d=i(c),f=n(46),p=n(97);e.isNumber=function(t){return t instanceof Number||"number"==typeof t},e.recursiveDOMDelete=function(t){if(t)for(;!0===t.hasChildNodes();)e.recursiveDOMDelete(t.firstChild),t.removeChild(t.firstChild)},e.giveRange=function(t,e,n,i){if(e==t)return.5;var r=1/(e-t);return Math.max(0,(i-t)*r)},e.isString=function(t){return t instanceof String||"string"==typeof t},e.isDate=function(t){if(t instanceof Date)return!0;if(e.isString(t)){if(m.exec(t))return!0;if(!isNaN(Date.parse(t)))return!0}return!1},e.randomUUID=function(){return p.v4()},e.assignAllKeys=function(t,e){for(var n in t)t.hasOwnProperty(n)&&"object"!==(0,d.default)(t[n])&&(t[n]=e)},e.fillIfDefined=function(t,n){var i=arguments.length>2&&void 0!==arguments[2]&&arguments[2];for(var o in t)void 0!==n[o]&&(null===n[o]||"object"!==(0,d.default)(n[o])?r(t,n,o,i):"object"===(0,d.default)(t[o])&&e.fillIfDefined(t[o],n[o],i))},e.extend=function(t,e){for(var n=1;n<arguments.length;n++){var i=arguments[n];for(var r in i)i.hasOwnProperty(r)&&(t[r]=i[r])}return t},e.selectiveExtend=function(t,e,n){if(!Array.isArray(t))throw new Error("Array with property names expected as first argument");for(var i=2;i<arguments.length;i++)for(var r=arguments[i],o=0;o<t.length;o++){var s=t[o];r&&r.hasOwnProperty(s)&&(e[s]=r[s])}return e},e.selectiveDeepExtend=function(t,n,i){var o=arguments.length>3&&void 0!==arguments[3]&&arguments[3];if(Array.isArray(i))throw new TypeError("Arrays are not supported by deepExtend");for(var s=0;s<t.length;s++){var a=t[s];if(i.hasOwnProperty(a))if(i[a]&&i[a].constructor===Object)void 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t=this.style===i.STYLE.BARSIZE?this.xBarWidth:20;return t},i.prototype._redrawLegend=function(){if(!0===this.showLegend&&this.style!==i.STYLE.LINE&&this.style!==i.STYLE.BARSIZE){var t=this.style===i.STYLE.BARSIZE||this.style===i.STYLE.DOTSIZE,e=this.style===i.STYLE.DOTSIZE||this.style===i.STYLE.DOTCOLOR||this.style===i.STYLE.BARCOLOR,n=Math.max(.25*this.frame.clientHeight,100),r=this.margin,o=this._getLegendWidth(),s=this.frame.clientWidth-this.margin,a=s-o,u=r+n,h=this._getContext();if(h.lineWidth=1,h.font="14px arial",!1===t){var l,d=n;for(l=0;l<d;l++){var p=(l-0)/(d-0),m=240*p,v=this._hsv2rgb(m,1,1);h.strokeStyle=v,h.beginPath(),h.moveTo(a,r+l),h.lineTo(s,r+l),h.stroke()}h.strokeStyle=this.axisColor,h.strokeRect(a,r,o,n)}else{var y;this.style===i.STYLE.DOTSIZE?y=o*(this.dotSizeMinFraction/this.dotSizeMaxFraction):(this.style,i.STYLE.BARSIZE),h.strokeStyle=this.axisColor,h.fillStyle=this.dataColor.fill,h.beginPath(),h.moveTo(a,r),h.lineTo(s,r),h.lineTo(a+y,u),h.lineTo(a,u),h.closePath(),h.fill(),h.stroke()}var g=e?this.valueRange.min:this.zRange.min,_=e?this.valueRange.max:this.zRange.max,w=new f(g,_,(_-g)/5,!0);w.start(!0);for(var b,x;!w.end();)l=u-(w.getCurrent()-g)/(_-g)*n,b=new c(a-5,l),x=new c(a,l),this._line(h,b,x),h.textAlign="right",h.textBaseline="middle",h.fillStyle=this.axisColor,h.fillText(w.getCurrent(),a-10,l),w.next();h.textAlign="right",h.textBaseline="top";var S=this.legendLabel;h.fillText(S,s,u+this.margin)}},i.prototype._redrawFilter=function(){var t=this.dataGroup.dataFilter,e=this.frame.filter;if(e.innerHTML="",!t)return void(e.slider=void 0);var n={visible:this.showAnimationControls},i=new d(e,n);e.slider=i,e.style.padding="10px",i.setValues(t.values),i.setPlayInterval(this.animationInterval);var r=this,o=function(){var t=r.dataGroup.dataFilter,e=i.getIndex();t.selectValue(e),r.dataPoints=t._getDataPoints(),r.redraw()};i.setOnChangeCallback(o)},i.prototype._redrawSlider=function(){void 0!==this.frame.filter.slider&&this.frame.filter.slider.redraw()},i.prototype._redrawInfo=function(){var t=this.dataGroup.getInfo();if(void 0!==t){var e=this._getContext();e.font="14px arial",e.lineStyle="gray",e.fillStyle="gray",e.textAlign="left",e.textBaseline="top";var n=this.margin,i=this.margin;e.fillText(t,n,i)}},i.prototype._line=function(t,e,n,i){void 0!==i&&(t.strokeStyle=i),t.beginPath(),t.moveTo(e.x,e.y),t.lineTo(n.x,n.y),t.stroke()},i.prototype.drawAxisLabelX=function(t,e,n,i,r){void 0===r&&(r=0);var o=this._convert3Dto2D(e);Math.cos(2*i)>0?(t.textAlign="center",t.textBaseline="top",o.y+=r):Math.sin(2*i)<0?(t.textAlign="right",t.textBaseline="middle"):(t.textAlign="left",t.textBaseline="middle"),t.fillStyle=this.axisColor,t.fillText(n,o.x,o.y)},i.prototype.drawAxisLabelY=function(t,e,n,i,r){void 0===r&&(r=0);var o=this._convert3Dto2D(e);Math.cos(2*i)<0?(t.textAlign="center",t.textBaseline="top",o.y+=r):Math.sin(2*i)>0?(t.textAlign="right",t.textBaseline="middle"):(t.textAlign="left",t.textBaseline="middle"),t.fillStyle=this.axisColor,t.fillText(n,o.x,o.y)},i.prototype.drawAxisLabelZ=function(t,e,n,i){void 0===i&&(i=0);var r=this._convert3Dto2D(e);t.textAlign="right",t.textBaseline="middle",t.fillStyle=this.axisColor,t.fillText(n,r.x-i,r.y)},i.prototype._line3d=function(t,e,n,i){var r=this._convert3Dto2D(e),o=this._convert3Dto2D(n);this._line(t,r,o,i)},i.prototype._redrawAxis=function(){var t,e,n,i,r,o,s,a,u,h,d,p=this._getContext();p.font=24/this.camera.getArmLength()+"px arial";var m,v=.025/this.scale.x,y=.025/this.scale.y,g=5/this.camera.getArmLength(),_=this.camera.getArmRotation().horizontal,w=new c(Math.cos(_),Math.sin(_)),b=this.xRange,x=this.yRange,S=this.zRange;for(p.lineWidth=1,i=void 0===this.defaultXStep,n=new f(b.min,b.max,this.xStep,i),n.start(!0);!n.end();){var M=n.getCurrent();if(this.showGrid?(t=new l(M,x.min,S.min),e=new l(M,x.max,S.min),this._line3d(p,t,e,this.gridColor)):this.showXAxis&&(t=new l(M,x.min,S.min),e=new l(M,x.min+v,S.min),this._line3d(p,t,e,this.axisColor),t=new l(M,x.max,S.min),e=new l(M,x.max-v,S.min),this._line3d(p,t,e,this.axisColor)),this.showXAxis){s=w.x>0?x.min:x.max,m=new l(M,s,S.min);var T=" "+this.xValueLabel(M)+" ";this.drawAxisLabelX(p,m,T,_,g)}n.next()}for(p.lineWidth=1,i=void 0===this.defaultYStep,n=new f(x.min,x.max,this.yStep,i),n.start(!0);!n.end();){var D=n.getCurrent();if(this.showGrid?(t=new l(b.min,D,S.min),e=new l(b.max,D,S.min),this._line3d(p,t,e,this.gridColor)):this.showYAxis&&(t=new l(b.min,D,S.min),e=new l(b.min+y,D,S.min),this._line3d(p,t,e,this.axisColor),t=new l(b.max,D,S.min),e=new l(b.max-y,D,S.min),this._line3d(p,t,e,this.axisColor)),this.showYAxis){o=w.y>0?b.min:b.max,m=new l(o,D,S.min);var k=" "+this.yValueLabel(D)+" ";this.drawAxisLabelY(p,m,k,_,g)}n.next()}if(this.showZAxis){for(p.lineWidth=1,i=void 0===this.defaultZStep,n=new f(S.min,S.max,this.zStep,i),n.start(!0),o=w.x>0?b.min:b.max,s=w.y<0?x.min:x.max;!n.end();){var O=n.getCurrent(),E=new l(o,s,O),C=this._convert3Dto2D(E);e=new c(C.x-g,C.y),this._line(p,C,e,this.axisColor);var P=this.zValueLabel(O)+" ";this.drawAxisLabelZ(p,E,P,5),n.next()}p.lineWidth=1,t=new l(o,s,S.min),e=new l(o,s,S.max),this._line3d(p,t,e,this.axisColor)}if(this.showXAxis){var L,R;p.lineWidth=1,L=new l(b.min,x.min,S.min),R=new l(b.max,x.min,S.min),this._line3d(p,L,R,this.axisColor),L=new l(b.min,x.max,S.min),R=new l(b.max,x.max,S.min),this._line3d(p,L,R,this.axisColor)}this.showYAxis&&(p.lineWidth=1,t=new l(b.min,x.min,S.min),e=new l(b.min,x.max,S.min),this._line3d(p,t,e,this.axisColor),t=new l(b.max,x.min,S.min),e=new l(b.max,x.max,S.min),this._line3d(p,t,e,this.axisColor));var A=this.xLabel;A.length>0&&this.showXAxis&&(d=.1/this.scale.y,o=(b.max+3*b.min)/4,s=w.x>0?x.min-d:x.max+d,r=new l(o,s,S.min),this.drawAxisLabelX(p,r,A,_));var Y=this.yLabel;Y.length>0&&this.showYAxis&&(h=.1/this.scale.x,o=w.y>0?b.min-h:b.max+h,s=(x.max+3*x.min)/4,r=new l(o,s,S.min),this.drawAxisLabelY(p,r,Y,_));var I=this.zLabel;I.length>0&&this.showZAxis&&(u=30,o=w.x>0?b.min:b.max,s=w.y<0?x.min:x.max,a=(S.max+3*S.min)/4,r=new l(o,s,a),this.drawAxisLabelZ(p,r,I,u))},i.prototype._hsv2rgb=function(t,e,n){var i,r,o,s,a,u;switch(s=n*e,a=Math.floor(t/60),u=s*(1-Math.abs(t/60%2-1)),a){case 0:i=s,r=u,o=0;break;case 1:i=u,r=s,o=0;break;case 2:i=0,r=s,o=u;break;case 3:i=0,r=u,o=s;break;case 4:i=u,r=0,o=s;break;case 5:i=s,r=0,o=u;break;default:i=0,r=0,o=0}return"RGB("+parseInt(255*i)+","+parseInt(255*r)+","+parseInt(255*o)+")"},i.prototype._getStrokeWidth=function(t){return void 0!==t?this.showPerspective?1/-t.trans.z*this.dataColor.strokeWidth:-this.eye.z/this.camera.getArmLength()*this.dataColor.strokeWidth:this.dataColor.strokeWidth},i.prototype._redrawBar=function(t,e,n,i,r,o){var s,a=this,u=e.point,h=this.zRange.min,c=[{point:new l(u.x-n,u.y-i,u.z)},{point:new l(u.x+n,u.y-i,u.z)},{point:new l(u.x+n,u.y+i,u.z)},{point:new l(u.x-n,u.y+i,u.z)}],d=[{point:new l(u.x-n,u.y-i,h)},{point:new l(u.x+n,u.y-i,h)},{point:new l(u.x+n,u.y+i,h)},{point:new l(u.x-n,u.y+i,h)}];c.forEach(function(t){t.screen=a._convert3Dto2D(t.point)}),d.forEach(function(t){t.screen=a._convert3Dto2D(t.point)});var f=[{corners:c,center:l.avg(d[0].point,d[2].point)},{corners:[c[0],c[1],d[1],d[0]],center:l.avg(d[1].point,d[0].point)},{corners:[c[1],c[2],d[2],d[1]],center:l.avg(d[2].point,d[1].point)},{corners:[c[2],c[3],d[3],d[2]],center:l.avg(d[3].point,d[2].point)},{corners:[c[3],c[0],d[0],d[3]],center:l.avg(d[0].point,d[3].point)}];e.surfaces=f;for(var p=0;p<f.length;p++){s=f[p];var m=this._convertPointToTranslation(s.center);s.dist=this.showPerspective?m.length():-m.z}f.sort(function(t,e){var n=e.dist-t.dist;return n||(t.corners===c?1:e.corners===c?-1:0)}),t.lineWidth=this._getStrokeWidth(e),t.strokeStyle=o,t.fillStyle=r;for(var v=2;v<f.length;v++)s=f[v],this._polygon(t,s.corners)},i.prototype._polygon=function(t,e,n,i){if(!(e.length<2)){void 0!==n&&(t.fillStyle=n),void 0!==i&&(t.strokeStyle=i),t.beginPath(),t.moveTo(e[0].screen.x,e[0].screen.y);for(var r=1;r<e.length;++r){var o=e[r];t.lineTo(o.screen.x,o.screen.y)}t.closePath(),t.fill(),t.stroke()}},i.prototype._drawCircle=function(t,e,n,i,r){var o=this._calcRadius(e,r);t.lineWidth=this._getStrokeWidth(e),t.strokeStyle=i,t.fillStyle=n,t.beginPath(),t.arc(e.screen.x,e.screen.y,o,0,2*Math.PI,!0),t.fill(),t.stroke()},i.prototype._getColorsRegular=function(t){var e=240*(1-(t.point.z-this.zRange.min)*this.scale.z/this.verticalRatio);return{fill:this._hsv2rgb(e,1,1),border:this._hsv2rgb(e,1,.8)}},i.prototype._getColorsColor=function(t){var e,n;if("string"==typeof t.point.value)e=t.point.value,n=t.point.value;else{var i=240*(1-(t.point.value-this.valueRange.min)*this.scale.value);e=this._hsv2rgb(i,1,1),n=this._hsv2rgb(i,1,.8)}return{fill:e,border:n}},i.prototype._getColorsSize=function(){return{fill:this.dataColor.fill,border:this.dataColor.stroke}},i.prototype._calcRadius=function(t,e){void 0===e&&(e=this._dotSize());var n;return n=this.showPerspective?e/-t.trans.z:e*(-this.eye.z/this.camera.getArmLength()),n<0&&(n=0),n},i.prototype._redrawBarGraphPoint=function(t,e){var n=this.xBarWidth/2,i=this.yBarWidth/2,r=this._getColorsRegular(e);this._redrawBar(t,e,n,i,r.fill,r.border)},i.prototype._redrawBarColorGraphPoint=function(t,e){var n=this.xBarWidth/2,i=this.yBarWidth/2,r=this._getColorsColor(e);this._redrawBar(t,e,n,i,r.fill,r.border)},i.prototype._redrawBarSizeGraphPoint=function(t,e){var n=(e.point.value-this.valueRange.min)/this.valueRange.range(),i=this.xBarWidth/2*(.8*n+.2),r=this.yBarWidth/2*(.8*n+.2),o=this._getColorsSize();this._redrawBar(t,e,i,r,o.fill,o.border)},i.prototype._redrawDotGraphPoint=function(t,e){var n=this._getColorsRegular(e);this._drawCircle(t,e,n.fill,n.border)},i.prototype._redrawDotLineGraphPoint=function(t,e){var n=this._convert3Dto2D(e.bottom);t.lineWidth=1,this._line(t,n,e.screen,this.gridColor),this._redrawDotGraphPoint(t,e)},i.prototype._redrawDotColorGraphPoint=function(t,e){var n=this._getColorsColor(e);this._drawCircle(t,e,n.fill,n.border)},i.prototype._redrawDotSizeGraphPoint=function(t,e){var n=this._dotSize(),i=(e.point.value-this.valueRange.min)/this.valueRange.range(),r=n*this.dotSizeMinFraction,o=n*this.dotSizeMaxFraction-r,s=r+o*i,a=this._getColorsSize();this._drawCircle(t,e,a.fill,a.border,s)},i.prototype._redrawSurfaceGraphPoint=function(t,e){var n=e.pointRight,i=e.pointTop,r=e.pointCross;if(void 0!==e&&void 0!==n&&void 0!==i&&void 0!==r){var o,s,a=!0;if(this.showGrayBottom||this.showShadow){var u=l.subtract(r.trans,e.trans),h=l.subtract(i.trans,n.trans),c=l.crossProduct(u,h),d=c.length();a=c.z>0}if(a){var f,p=(e.point.z+n.point.z+i.point.z+r.point.z)/4,m=240*(1-(p-this.zRange.min)*this.scale.z/this.verticalRatio);this.showShadow?(f=Math.min(1+c.x/d/2,1),o=this._hsv2rgb(m,1,f),s=o):(f=1,o=this._hsv2rgb(m,1,f),s=this.axisColor)}else o="gray",s=this.axisColor;t.lineWidth=this._getStrokeWidth(e);var v=[e,n,r,i];this._polygon(t,v,o,s)}},i.prototype._drawGridLine=function(t,e,n){if(void 0!==e&&void 0!==n){var i=(e.point.z+n.point.z)/2,r=240*(1-(i-this.zRange.min)*this.scale.z/this.verticalRatio);t.lineWidth=2*this._getStrokeWidth(e),t.strokeStyle=this._hsv2rgb(r,1,1),this._line(t,e.screen,n.screen)}},i.prototype._redrawGridGraphPoint=function(t,e){this._drawGridLine(t,e,e.pointRight),this._drawGridLine(t,e,e.pointTop)},i.prototype._redrawLineGraphPoint=function(t,e){void 0!==e.pointNext&&(t.lineWidth=this._getStrokeWidth(e),t.strokeStyle=this.dataColor.stroke,this._line(t,e.screen,e.pointNext.screen))},i.prototype._redrawDataGraph=function(){var t,e=this._getContext();if(!(void 0===this.dataPoints||this.dataPoints.length<=0))for(this._calcTranslations(this.dataPoints),t=0;t<this.dataPoints.length;t++){var n=this.dataPoints[t];this._pointDrawingMethod.call(this,e,n)}},i.prototype._storeMousePosition=function(t){this.startMouseX=r(t),this.startMouseY=o(t),this._startCameraOffset=this.camera.getOffset()},i.prototype._onMouseDown=function(t){if(t=t||window.event,this.leftButtonDown&&this._onMouseUp(t),this.leftButtonDown=t.which?1===t.which:1===t.button,this.leftButtonDown||this.touchDown){this._storeMousePosition(t),this.startStart=new Date(this.start),this.startEnd=new Date(this.end),this.startArmRotation=this.camera.getArmRotation(),this.frame.style.cursor="move";var e=this;this.onmousemove=function(t){e._onMouseMove(t)},this.onmouseup=function(t){e._onMouseUp(t)},h.addEventListener(document,"mousemove",e.onmousemove),h.addEventListener(document,"mouseup",e.onmouseup),h.preventDefault(t)}},i.prototype._onMouseMove=function(t){this.moving=!0,t=t||window.event;var e=parseFloat(r(t))-this.startMouseX,n=parseFloat(o(t))-this.startMouseY;if(t&&!0===t.ctrlKey){var i=.5*this.frame.clientWidth,s=.5*this.frame.clientHeight,a=(this._startCameraOffset.x||0)-e/i*this.camera.armLength*.8,u=(this._startCameraOffset.y||0)+n/s*this.camera.armLength*.8;this.camera.setOffset(a,u),this._storeMousePosition(t)}else{var l=this.startArmRotation.horizontal+e/200,c=this.startArmRotation.vertical+n/200,d=Math.sin(4/360*2*Math.PI);Math.abs(Math.sin(l))<d&&(l=Math.round(l/Math.PI)*Math.PI-.001),Math.abs(Math.cos(l))<d&&(l=(Math.round(l/Math.PI-.5)+.5)*Math.PI-.001),Math.abs(Math.sin(c))<d&&(c=Math.round(c/Math.PI)*Math.PI),Math.abs(Math.cos(c))<d&&(c=(Math.round(c/Math.PI-.5)+.5)*Math.PI),this.camera.setArmRotation(l,c)}this.redraw();var f=this.getCameraPosition();this.emit("cameraPositionChange",f),h.preventDefault(t)},i.prototype._onMouseUp=function(t){this.frame.style.cursor="auto",this.leftButtonDown=!1,h.removeEventListener(document,"mousemove",this.onmousemove),h.removeEventListener(document,"mouseup",this.onmouseup),h.preventDefault(t)},i.prototype._onClick=function(t){if(this.onclick_callback){if(this.moving)this.moving=!1;else{var e=this.frame.getBoundingClientRect(),n=r(t)-e.left,i=o(t)-e.top,s=this._dataPointFromXY(n,i);s&&this.onclick_callback(s.point.data)}h.preventDefault(t)}},i.prototype._onTooltip=function(t){var e=this.frame.getBoundingClientRect(),n=r(t)-e.left,i=o(t)-e.top;if(this.showTooltip){if(this.tooltipTimeout&&clearTimeout(this.tooltipTimeout),this.leftButtonDown)return void this._hideTooltip();if(this.tooltip&&this.tooltip.dataPoint){var s=this._dataPointFromXY(n,i);s!==this.tooltip.dataPoint&&(s?this._showTooltip(s):this._hideTooltip())}else{var a=this;this.tooltipTimeout=setTimeout(function(){a.tooltipTimeout=null;var t=a._dataPointFromXY(n,i);t&&a._showTooltip(t)},300)}}},i.prototype._onTouchStart=function(t){this.touchDown=!0;var e=this;this.ontouchmove=function(t){e._onTouchMove(t)},this.ontouchend=function(t){e._onTouchEnd(t)},h.addEventListener(document,"touchmove",e.ontouchmove),h.addEventListener(document,"touchend",e.ontouchend),this._onMouseDown(t)},i.prototype._onTouchMove=function(t){this._onMouseMove(t)},i.prototype._onTouchEnd=function(t){this.touchDown=!1,h.removeEventListener(document,"touchmove",this.ontouchmove),h.removeEventListener(document,"touchend",this.ontouchend),this._onMouseUp(t)},i.prototype._onWheel=function(t){t||(t=window.event);var e=0;if(t.wheelDelta?e=t.wheelDelta/120:t.detail&&(e=-t.detail/3),e){var n=this.camera.getArmLength(),i=n*(1-e/10);this.camera.setArmLength(i),this.redraw(),this._hideTooltip()}var r=this.getCameraPosition();this.emit("cameraPositionChange",r),h.preventDefault(t)},i.prototype._insideTriangle=function(t,e){function n(t){return t>0?1:t<0?-1:0}var i=e[0],r=e[1],o=e[2],s=n((r.x-i.x)*(t.y-i.y)-(r.y-i.y)*(t.x-i.x)),a=n((o.x-r.x)*(t.y-r.y)-(o.y-r.y)*(t.x-r.x)),u=n((i.x-o.x)*(t.y-o.y)-(i.y-o.y)*(t.x-o.x));return!(0!=s&&0!=a&&s!=a||0!=a&&0!=u&&a!=u||0!=s&&0!=u&&s!=u)},i.prototype._dataPointFromXY=function(t,e){var n,r=null,o=null,s=null,a=new c(t,e);if(this.style===i.STYLE.BAR||this.style===i.STYLE.BARCOLOR||this.style===i.STYLE.BARSIZE)for(n=this.dataPoints.length-1;n>=0;n--){r=this.dataPoints[n];var u=r.surfaces;if(u)for(var h=u.length-1;h>=0;h--){var l=u[h],d=l.corners,f=[d[0].screen,d[1].screen,d[2].screen],p=[d[2].screen,d[3].screen,d[0].screen];if(this._insideTriangle(a,f)||this._insideTriangle(a,p))return r}}else for(n=0;n<this.dataPoints.length;n++){r=this.dataPoints[n];var m=r.screen;if(m){var v=Math.abs(t-m.x),y=Math.abs(e-m.y),g=Math.sqrt(v*v+y*y);(null===s||g<s)&&g<100&&(s=g,o=r)}}return o},i.prototype.hasBars=function(t){return t==i.STYLE.BAR||t==i.STYLE.BARCOLOR||t==i.STYLE.BARSIZE},i.prototype._showTooltip=function(t){var e,n,i;this.tooltip?(e=this.tooltip.dom.content,n=this.tooltip.dom.line,i=this.tooltip.dom.dot):(e=document.createElement("div"),(0,a.default)(e.style,{},this.tooltipStyle.content),e.style.position="absolute",n=document.createElement("div"),(0,a.default)(n.style,{},this.tooltipStyle.line),n.style.position="absolute",i=document.createElement("div"),(0,a.default)(i.style,{},this.tooltipStyle.dot),i.style.position="absolute",this.tooltip={dataPoint:null,dom:{content:e,line:n,dot:i}}),this._hideTooltip(),this.tooltip.dataPoint=t,"function"==typeof this.showTooltip?e.innerHTML=this.showTooltip(t.point):e.innerHTML="<table><tr><td>"+this.xLabel+":</td><td>"+t.point.x+"</td></tr><tr><td>"+this.yLabel+":</td><td>"+t.point.y+"</td></tr><tr><td>"+this.zLabel+":</td><td>"+t.point.z+"</td></tr></table>",e.style.left="0",e.style.top="0",this.frame.appendChild(e),this.frame.appendChild(n),this.frame.appendChild(i);var r=e.offsetWidth,o=e.offsetHeight,s=n.offsetHeight,u=i.offsetWidth,h=i.offsetHeight,l=t.screen.x-r/2;l=Math.min(Math.max(l,10),this.frame.clientWidth-10-r),n.style.left=t.screen.x+"px",n.style.top=t.screen.y-s+"px",e.style.left=l+"px",e.style.top=t.screen.y-s-o+"px",i.style.left=t.screen.x-u/2+"px",i.style.top=t.screen.y-h/2+"px"},i.prototype._hideTooltip=function(){if(this.tooltip){this.tooltip.dataPoint=null;for(var t in this.tooltip.dom)if(this.tooltip.dom.hasOwnProperty(t)){var 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G(){this.evTarget=Jt,this.evWin=Qt,this.started=!1,k.apply(this,arguments)}function B(t,e){var n=x(t.touches),i=x(t.changedTouches);return e&(Pt|Lt)&&(n=S(n.concat(i),"identifier",!0)),[n,i]}function U(){this.evTarget=te,this.targetIds={},k.apply(this,arguments)}function H(t,e){var n=x(t.touches),i=this.targetIds;if(e&(Et|Ct)&&1===n.length)return i[n[0].identifier]=!0,[n,n];var r,o,s=x(t.changedTouches),a=[],u=this.target;if(o=n.filter(function(t){return g(t.target,u)}),e===Et)for(r=0;r<o.length;)i[o[r].identifier]=!0,r++;for(r=0;r<s.length;)i[s[r].identifier]&&a.push(s[r]),e&(Pt|Lt)&&delete i[s[r].identifier],r++;return a.length?[S(o.concat(a),"identifier",!0),a]:void 0}function X(){k.apply(this,arguments);var t=f(this.handler,this);this.touch=new U(this.manager,t),this.mouse=new F(this.manager,t),this.primaryTouch=null,this.lastTouches=[]}function Z(t,e){t&Et?(this.primaryTouch=e.changedPointers[0].identifier,q.call(this,e)):t&(Pt|Lt)&&q.call(this,e)}function q(t){var e=t.changedPointers[0];if(e.identifier===this.primaryTouch){var n={x:e.clientX,y:e.clientY};this.lastTouches.push(n);var i=this.lastTouches,r=function(){var t=i.indexOf(n);t>-1&&i.splice(t,1)};setTimeout(r,ee)}}function $(t){for(var e=t.srcEvent.clientX,n=t.srcEvent.clientY,i=0;i<this.lastTouches.length;i++){var r=this.lastTouches[i],o=Math.abs(e-r.x),s=Math.abs(n-r.y);if(o<=ne&&s<=ne)return!0}return!1}function J(t,e){this.manager=t,this.set(e)}function Q(t){if(_(t,ae))return ae;var e=_(t,ue),n=_(t,he);return e&&n?ae:e||n?e?ue:he:_(t,se)?se:oe}function K(t){this.options=pt({},this.defaults,t||{}),this.id=T(),this.manager=null,this.options.enable=m(this.options.enable,!0),this.state=ce,this.simultaneous={},this.requireFail=[]}function tt(t){return t&ve?"cancel":t&pe?"end":t&fe?"move":t&de?"start":""}function et(t){return t==zt?"down":t==It?"up":t==At?"left":t==Yt?"right":""}function nt(t,e){var n=e.manager;return n?n.get(t):t}function it(){K.apply(this,arguments)}function rt(){it.apply(this,arguments),this.pX=null,this.pY=null}function ot(){it.apply(this,arguments)}function st(){K.apply(this,arguments),this._timer=null,this._input=null}function at(){it.apply(this,arguments)}function ut(){it.apply(this,arguments)}function ht(){K.apply(this,arguments),this.pTime=!1,this.pCenter=!1,this._timer=null,this._input=null,this.count=0}function lt(t,e){return e=e||{},e.recognizers=m(e.recognizers,lt.defaults.preset),new ct(t,e)}function ct(t,e){this.options=pt({},lt.defaults,e||{}),this.options.inputTarget=this.options.inputTarget||t,this.handlers={},this.session={},this.recognizers=[],this.oldCssProps={},this.element=t,this.input=O(this),this.touchAction=new J(this,this.options.touchAction),dt(this,!0),l(this.options.recognizers,function(t){var e=this.add(new t[0](t[1]));t[2]&&e.recognizeWith(t[2]),t[3]&&e.requireFailure(t[3])},this)}function dt(t,e){var n=t.element;if(n.style){var i;l(t.options.cssProps,function(r,o){i=M(n.style,o),e?(t.oldCssProps[i]=n.style[i],n.style[i]=r):n.style[i]=t.oldCssProps[i]||""}),e||(t.oldCssProps={})}}function ft(t,e){var n=o.createEvent("Event");n.initEvent(t,!0,!0),n.gesture=e,e.target.dispatchEvent(n)}var pt,mt=["","webkit","Moz","MS","ms","o"],vt=o.createElement("div"),yt="function",gt=Math.round,_t=Math.abs,wt=Date.now;pt="function"!=typeof Object.assign?function(t){if(t===a||null===t)throw new TypeError("Cannot convert undefined or null to object");for(var e=Object(t),n=1;n<arguments.length;n++){var i=arguments[n];if(i!==a&&null!==i)for(var r in i)i.hasOwnProperty(r)&&(e[r]=i[r])}return e}:Object.assign;var bt=c(function(t,e,n){for(var i=Object.keys(e),r=0;r<i.length;)(!n||n&&t[i[r]]===a)&&(t[i[r]]=e[i[r]]),r++;return t},"extend","Use `assign`."),xt=c(function(t,e){return bt(t,e,!0)},"merge","Use `assign`."),St=1,Mt=/mobile|tablet|ip(ad|hone|od)|android/i,Tt="ontouchstart"in r,Dt=M(r,"PointerEvent")!==a,kt=Tt&&Mt.test(navigator.userAgent),Ot=25,Et=1,Ct=2,Pt=4,Lt=8,Rt=1,At=2,Yt=4,It=8,zt=16,Nt=At|Yt,Wt=It|zt,jt=Nt|Wt,Ft=["x","y"],Vt=["clientX","clientY"];k.prototype={handler:function(){},init:function(){this.evEl&&v(this.element,this.evEl,this.domHandler),this.evTarget&&v(this.target,this.evTarget,this.domHandler),this.evWin&&v(D(this.element),this.evWin,this.domHandler)},destroy:function(){this.evEl&&y(this.element,this.evEl,this.domHandler),this.evTarget&&y(this.target,this.evTarget,this.domHandler),this.evWin&&y(D(this.element),this.evWin,this.domHandler)}};var Gt={mousedown:Et,mousemove:Ct,mouseup:Pt},Bt="mousedown",Ut="mousemove mouseup";d(F,k,{handler:function(t){var e=Gt[t.type];e&Et&&0===t.button&&(this.pressed=!0),e&Ct&&1!==t.which&&(e=Pt),this.pressed&&(e&Pt&&(this.pressed=!1),this.callback(this.manager,e,{pointers:[t],changedPointers:[t],pointerType:"mouse",srcEvent:t}))}});var Ht={pointerdown:Et,pointermove:Ct,pointerup:Pt,pointercancel:Lt,pointerout:Lt},Xt={2:"touch",3:"pen",4:"mouse",5:"kinect"},Zt="pointerdown",qt="pointermove pointerup pointercancel";r.MSPointerEvent&&!r.PointerEvent&&(Zt="MSPointerDown",qt="MSPointerMove MSPointerUp MSPointerCancel"),d(V,k,{handler:function(t){var e=this.store,n=!1,i=t.type.toLowerCase().replace("ms",""),r=Ht[i],o=Xt[t.pointerType]||t.pointerType,s="touch"==o,a=b(e,t.pointerId,"pointerId");r&Et&&(0===t.button||s)?a<0&&(e.push(t),a=e.length-1):r&(Pt|Lt)&&(n=!0),a<0||(e[a]=t,this.callback(this.manager,r,{pointers:e,changedPointers:[t],pointerType:o,srcEvent:t}),n&&e.splice(a,1))}});var $t={touchstart:Et,touchmove:Ct,touchend:Pt,touchcancel:Lt},Jt="touchstart",Qt="touchstart touchmove touchend touchcancel";d(G,k,{handler:function(t){var e=$t[t.type];if(e===Et&&(this.started=!0),this.started){var n=B.call(this,t,e);e&(Pt|Lt)&&n[0].length-n[1].length==0&&(this.started=!1),this.callback(this.manager,e,{pointers:n[0],changedPointers:n[1],pointerType:"touch",srcEvent:t})}}});var Kt={touchstart:Et,touchmove:Ct,touchend:Pt,touchcancel:Lt},te="touchstart touchmove touchend touchcancel";d(U,k,{handler:function(t){var e=Kt[t.type],n=H.call(this,t,e);n&&this.callback(this.manager,e,{pointers:n[0],changedPointers:n[1],pointerType:"touch",srcEvent:t})}});var ee=2500,ne=25;d(X,k,{handler:function(t,e,n){var i="touch"==n.pointerType,r="mouse"==n.pointerType;if(!(r&&n.sourceCapabilities&&n.sourceCapabilities.firesTouchEvents)){if(i)Z.call(this,e,n);else if(r&&$.call(this,n))return;this.callback(t,e,n)}},destroy:function(){this.touch.destroy(),this.mouse.destroy()}});var ie=M(vt.style,"touchAction"),re=ie!==a,oe="auto",se="manipulation",ae="none",ue="pan-x",he="pan-y",le=function(){if(!re)return!1;var t={},e=r.CSS&&r.CSS.supports;return["auto","manipulation","pan-y","pan-x","pan-x 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pt(this.options,t),this.manager&&this.manager.touchAction.update(),this},recognizeWith:function(t){if(h(t,"recognizeWith",this))return this;var e=this.simultaneous;return t=nt(t,this),e[t.id]||(e[t.id]=t,t.recognizeWith(this)),this},dropRecognizeWith:function(t){return h(t,"dropRecognizeWith",this)?this:(t=nt(t,this),delete this.simultaneous[t.id],this)},requireFailure:function(t){if(h(t,"requireFailure",this))return this;var e=this.requireFail;return t=nt(t,this),-1===b(e,t)&&(e.push(t),t.requireFailure(this)),this},dropRequireFailure:function(t){if(h(t,"dropRequireFailure",this))return this;t=nt(t,this);var e=b(this.requireFail,t);return e>-1&&this.requireFail.splice(e,1),this},hasRequireFailures:function(){return this.requireFail.length>0},canRecognizeWith:function(t){return!!this.simultaneous[t.id]},emit:function(t){function e(e){n.manager.emit(e,t)}var n=this,i=this.state;i<pe&&e(n.options.event+tt(i)),e(n.options.event),t.additionalEvent&&e(t.additionalEvent),i>=pe&&e(n.options.event+tt(i))},tryEmit:function(t){if(this.canEmit())return this.emit(t);this.state=32},canEmit:function(){for(var t=0;t<this.requireFail.length;){if(!(this.requireFail[t].state&(32|ce)))return!1;t++}return!0},recognize:function(t){var e=pt({},t);if(!p(this.options.enable,[this,e]))return this.reset(),void(this.state=32);this.state&(me|ve|32)&&(this.state=ce),this.state=this.process(e),this.state&(de|fe|pe|ve)&&this.tryEmit(e)},process:function(t){},getTouchAction:function(){},reset:function(){}},d(it,K,{defaults:{pointers:1},attrTest:function(t){var e=this.options.pointers;return 0===e||t.pointers.length===e},process:function(t){var e=this.state,n=t.eventType,i=e&(de|fe),r=this.attrTest(t);return i&&(n&Lt||!r)?e|ve:i||r?n&Pt?e|pe:e&de?e|fe:de:32}}),d(rt,it,{defaults:{event:"pan",threshold:10,pointers:1,direction:jt},getTouchAction:function(){var t=this.options.direction,e=[];return t&Nt&&e.push(he),t&Wt&&e.push(ue),e},directionTest:function(t){var e=this.options,n=!0,i=t.distance,r=t.direction,o=t.deltaX,s=t.deltaY;return r&e.direction||(e.direction&Nt?(r=0===o?Rt:o<0?At:Yt,n=o!=this.pX,i=Math.abs(t.deltaX)):(r=0===s?Rt:s<0?It:zt,n=s!=this.pY,i=Math.abs(t.deltaY))),t.direction=r,n&&i>e.threshold&&r&e.direction},attrTest:function(t){return it.prototype.attrTest.call(this,t)&&(this.state&de||!(this.state&de)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=et(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),d(ot,it,{defaults:{event:"pinch",threshold:0,pointers:2},getTouchAction:function(){return[ae]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||this.state&de)},emit:function(t){if(1!==t.scale){var e=t.scale<1?"in":"out";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),d(st,K,{defaults:{event:"press",pointers:1,time:251,threshold:9},getTouchAction:function(){return[oe]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime>e.time;if(this._input=t,!i||!n||t.eventType&(Pt|Lt)&&!r)this.reset();else if(t.eventType&Et)this.reset(),this._timer=u(function(){this.state=me,this.tryEmit()},e.time,this);else if(t.eventType&Pt)return me;return 32},reset:function(){clearTimeout(this._timer)},emit:function(t){this.state===me&&(t&&t.eventType&Pt?this.manager.emit(this.options.event+"up",t):(this._input.timeStamp=wt(),this.manager.emit(this.options.event,this._input)))}}),d(at,it,{defaults:{event:"rotate",threshold:0,pointers:2},getTouchAction:function(){return[ae]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||this.state&de)}}),d(ut,it,{defaults:{event:"swipe",threshold:10,velocity:.3,direction:Nt|Wt,pointers:1},getTouchAction:function(){return rt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,n=this.options.direction;return n&(Nt|Wt)?e=t.overallVelocity:n&Nt?e=t.overallVelocityX:n&Wt&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&n&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&_t(e)>this.options.velocity&&t.eventType&Pt},emit:function(t){var e=et(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),d(ht,K,{defaults:{event:"tap",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[se]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime<e.time;if(this.reset(),t.eventType&Et&&0===this.count)return this.failTimeout();if(i&&r&&n){if(t.eventType!=Pt)return this.failTimeout();var o=!this.pTime||t.timeStamp-this.pTime<e.interval,s=!this.pCenter||z(this.pCenter,t.center)<e.posThreshold;this.pTime=t.timeStamp,this.pCenter=t.center,s&&o?this.count+=1:this.count=1,this._input=t;if(0===this.count%e.taps)return this.hasRequireFailures()?(this._timer=u(function(){this.state=me,this.tryEmit()},e.interval,this),de):me}return 32},failTimeout:function(){return this._timer=u(function(){this.state=32},this.options.interval,this),32},reset:function(){clearTimeout(this._timer)},emit:function(){this.state==me&&(this._input.tapCount=this.count,this.manager.emit(this.options.event,this._input))}}),lt.VERSION="2.0.7",lt.defaults={domEvents:!1,touchAction:"compute",enable:!0,inputTarget:null,inputClass:null,preset:[[at,{enable:!1}],[ot,{enable:!1},["rotate"]],[ut,{direction:Nt}],[rt,{direction:Nt},["swipe"]],[ht],[ht,{event:"doubletap",taps:2},["tap"]],[st]],cssProps:{userSelect:"none",touchSelect:"none",touchCallout:"none",contentZooming:"none",userDrag:"none",tapHighlightColor:"rgba(0,0,0,0)"}};ct.prototype={set:function(t){return pt(this.options,t),t.touchAction&&this.touchAction.update(),t.inputTarget&&(this.input.destroy(),this.input.target=t.inputTarget,this.input.init()),this},stop:function(t){this.session.stopped=t?2:1},recognize:function(t){var e=this.session;if(!e.stopped){this.touchAction.preventDefaults(t);var n,i=this.recognizers,r=e.curRecognizer;(!r||r&&r.state&me)&&(r=e.curRecognizer=null);for(var o=0;o<i.length;)n=i[o],2===e.stopped||r&&n!=r&&!n.canRecognizeWith(r)?n.reset():n.recognize(t),!r&&n.state&(de|fe|pe)&&(r=e.curRecognizer=n),o++}},get:function(t){if(t instanceof K)return t;for(var e=this.recognizers,n=0;n<e.length;n++)if(e[n].options.event==t)return e[n];return null},add:function(t){if(h(t,"add",this))return this;var e=this.get(t.options.event);return e&&this.remove(e),this.recognizers.push(t),t.manager=this,this.touchAction.update(),t},remove:function(t){if(h(t,"remove",this))return this;if(t=this.get(t)){var e=this.recognizers,n=b(e,t);-1!==n&&(e.splice(n,1),this.touchAction.update())}return this},on:function(t,e){if(t!==a&&e!==a){var n=this.handlers;return l(w(t),function(t){n[t]=n[t]||[],n[t].push(e)}),this}},off:function(t,e){if(t!==a){var n=this.handlers;return l(w(t),function(t){e?n[t]&&n[t].splice(b(n[t],e),1):delete n[t]}),this}},emit:function(t,e){this.options.domEvents&&ft(t,e);var n=this.handlers[t]&&this.handlers[t].slice();if(n&&n.length){e.type=t,e.preventDefault=function(){e.srcEvent.preventDefault()};for(var i=0;i<n.length;)n[i](e),i++}},destroy:function(){this.element&&dt(this,!1),this.handlers={},this.session={},this.input.destroy(),this.element=null}},pt(lt,{INPUT_START:Et,INPUT_MOVE:Ct,INPUT_END:Pt,INPUT_CANCEL:Lt,STATE_POSSIBLE:ce,STATE_BEGAN:de,STATE_CHANGED:fe,STATE_ENDED:pe,STATE_RECOGNIZED:me,STATE_CANCELLED:ve,STATE_FAILED:32,DIRECTION_NONE:Rt,DIRECTION_LEFT:At,DIRECTION_RIGHT:Yt,DIRECTION_UP:It,DIRECTION_DOWN:zt,DIRECTION_HORIZONTAL:Nt,DIRECTION_VERTICAL:Wt,DIRECTION_ALL:jt,Manager:ct,Input:k,TouchAction:J,TouchInput:U,MouseInput:F,PointerEventInput:V,TouchMouseInput:X,SingleTouchInput:G,Recognizer:K,AttrRecognizer:it,Tap:ht,Pan:rt,Swipe:ut,Pinch:ot,Rotate:at,Press:st,on:v,off:y,each:l,merge:xt,extend:bt,assign:pt,inherit:d,bindFn:f,prefixed:M}),(void 0!==r?r:"undefined"!=typeof self?self:{}).Hammer=lt,(i=function(){return lt}.call(e,n,e,t))!==a&&(t.exports=i)}(window,document)},function(t,e,n){var i,r,o;!function(n,s){r=[],i=s,void 0!==(o="function"==typeof i?i.apply(e,r):i)&&(t.exports=o)}(0,function(){function t(t){var e,n=t&&t.preventDefault||!1,i=t&&t.container||window,r={},o={keydown:{},keyup:{}},s={};for(e=97;e<=122;e++)s[String.fromCharCode(e)]={code:e-97+65,shift:!1};for(e=65;e<=90;e++)s[String.fromCharCode(e)]={code:e,shift:!0};for(e=0;e<=9;e++)s[""+e]={code:48+e,shift:!1};for(e=1;e<=12;e++)s["F"+e]={code:111+e,shift:!1};for(e=0;e<=9;e++)s["num"+e]={code:96+e,shift:!1};s["num*"]={code:106,shift:!1},s["num+"]={code:107,shift:!1},s["num-"]={code:109,shift:!1},s["num/"]={code:111,shift:!1},s["num."]={code:110,shift:!1},s.left={code:37,shift:!1},s.up={code:38,shift:!1},s.right={code:39,shift:!1},s.down={code:40,shift:!1},s.space={code:32,shift:!1},s.enter={code:13,shift:!1},s.shift={code:16,shift:void 0},s.esc={code:27,shift:!1},s.backspace={code:8,shift:!1},s.tab={code:9,shift:!1},s.ctrl={code:17,shift:!1},s.alt={code:18,shift:!1},s.delete={code:46,shift:!1},s.pageup={code:33,shift:!1},s.pagedown={code:34,shift:!1},s["="]={code:187,shift:!1},s["-"]={code:189,shift:!1},s["]"]={code:221,shift:!1},s["["]={code:219,shift:!1};var a=function(t){h(t,"keydown")},u=function(t){h(t,"keyup")},h=function(t,e){if(void 0!==o[e][t.keyCode]){for(var i=o[e][t.keyCode],r=0;r<i.length;r++)void 0===i[r].shift?i[r].fn(t):1==i[r].shift&&1==t.shiftKey?i[r].fn(t):0==i[r].shift&&0==t.shiftKey&&i[r].fn(t);1==n&&t.preventDefault()}};return r.bind=function(t,e,n){if(void 0===n&&(n="keydown"),void 0===s[t])throw new Error("unsupported key: "+t);void 0===o[n][s[t].code]&&(o[n][s[t].code]=[]),o[n][s[t].code].push({fn:e,shift:s[t].shift})},r.bindAll=function(t,e){void 0===e&&(e="keydown");for(var n in s)s.hasOwnProperty(n)&&r.bind(n,t,e)},r.getKey=function(t){for(var e in s)if(s.hasOwnProperty(e)){if(1==t.shiftKey&&1==s[e].shift&&t.keyCode==s[e].code)return e;if(0==t.shiftKey&&0==s[e].shift&&t.keyCode==s[e].code)return e;if(t.keyCode==s[e].code&&"shift"==e)return e}return"unknown key, currently not supported"},r.unbind=function(t,e,n){if(void 0===n&&(n="keydown"),void 0===s[t])throw new Error("unsupported key: "+t);if(void 0!==e){var i=[],r=o[n][s[t].code];if(void 0!==r)for(var a=0;a<r.length;a++)r[a].fn==e&&r[a].shift==s[t].shift||i.push(o[n][s[t].code][a]);o[n][s[t].code]=i}else o[n][s[t].code]=[]},r.reset=function(){o={keydown:{},keyup:{}}},r.destroy=function(){o={keydown:{},keyup:{}},i.removeEventListener("keydown",a,!0),i.removeEventListener("keyup",u,!0)},i.addEventListener("keydown",a,!0),i.addEventListener("keyup",u,!0),r}return t})}])}); | |
| } | |
| </script> | |
| <script type="text/javascript"> | |
| var CSVpath = './CSVjs/'; // Will be updated by txt2js.py. | |
| window.CSVnames = ['combined', '1/combined', '1/L4_L5_beta_0_gamma_0_089_vegen', '1/vegen_korpalya_L4_beta_0_gamma_0_089_3650_napig_90000db_dt_0_01', '1/vegen_korpalya_L5_beta_0_gamma_0_089_3650_napig_90000db_dt_0_01', '2/combined', '2/L4_L5_beta_PI_per_2_gamma_0_089_vegen', '2/vegen_korpalya_L4_beta_PI_per_2_gamma_0_089_3650_napig_90000db_dt_0_01', '2/vegen_korpalya_L5_beta_PI_per_2_gamma_0_089_3650_napig_90000db_dt_0_01', '3/combined', '3/L4_L5_beta_PI_gamma_0_089_vegen', '3/vegen_korpalya_L4_beta_PI_gamma_0_089_3650_napig_90000db_dt_0_01', '3/vegen_korpalya_L5_beta_PI_gamma_0_089_3650_napig_90000db_dt_0_01', '4/combined', '4/L4_L5_beta_3PI_per_2_gamma_0_089_vegen', '4/vegen_korpalya_L4_beta_3PI_per_2_gamma_0_089_3650_napig_90000db_dt_0_01', '4/vegen_korpalya_L5_beta_3PI_per_2_gamma_0_089_3650_napig_90000db_dt_0_01']; // Will be updated by txt2js.py. | |
| window.CSVfiles = []; // Contents of the datafiles. Just an array of (large) texts. | |
| window.loadedCSVs = {}; // Hashtable of names and the associated index for the CSVfiles array. | |
| function drawVisualization(toDraw) { | |
| var options = { // https://visjs.github.io/vis-graph3d/docs/graph3d/#Configuration_Options | |
| width: '800px', | |
| height: '600px', | |
| style: 'dot-color', | |
| showPerspective: true, | |
| showGrid: true, | |
| keepAspectRatio: true, | |
| verticalRatio: 1.0, | |
| showLegend: false, | |
| dotSizeRatio: 0.015, | |
| cameraPosition: { | |
| horizontal: 2.7, | |
| vertical: 0.0, | |
| distance: 1.65 | |
| }, | |
| xMax: 0.004, | |
| xMin: -0.004, | |
| yMax: 0.004, | |
| yMin: -0.004, | |
| zMax: 0.004, | |
| zMin: -0.004 | |
| }; | |
| var lines = window.CSVfiles[toDraw].trim().split('\n').map(v=>v.trim().split('\t').map(v2=>parseFloat(v2))).sort((a, b) => a[0] - b[0]); | |
| options.dotSizeRatio = 0.02 / Math.log(lines.length); | |
| function colorMap(v) { | |
| var c = {'fill': '#000', 'stroke': '#555'}; | |
| if (v == 1) c = {'fill': '#66A7C5', 'stroke': '#369'}; | |
| if (v == 2) c = {'fill': '#EE3233', 'stroke': '#903'}; | |
| return c; | |
| } | |
| try { | |
| //window.graph = new vis.Graph3d(document.getElementById('mygraph'), lines.map(d=>({x:d[1],y:d[2],z:d[3],style:(d[4] || d[0] || 0)})), options); | |
| window.graph = new vis.Graph3d(document.getElementById('mygraph'), lines.map(d=>({x:d[1],y:d[2],z:d[3],style:colorMap(d[0])})), options); | |
| } catch(err) { | |
| console.log(lines); | |
| console.log(err); | |
| } | |
| } | |
| function loadCSV(name) { | |
| if (name in window.loadedCSVs) { // Just show the data if we already have it. | |
| drawVisualization(window.loadedCSVs[name]); | |
| return; | |
| } | |
| window.loadedCSVs[name] = window.CSVfiles.length; // We associate the name of the dataset with the index of it's contents in the array of dataset contents. | |
| var s = document.createElement('script'); | |
| s.async = false; // Let's avoid race conditions that might mess up the index associations. | |
| s.defer = false; // Same as above. | |
| s.src = CSVpath + name + '.js'; | |
| s.onload = function() { | |
| drawVisualization(window.loadedCSVs[name]); | |
| }; | |
| document.getElementsByTagName('body')[0].appendChild(s); | |
| } | |
| window.onhashchange = function() { | |
| var e = document.getElementsByClassName('selected'); | |
| for (var i = 0; i < e.length; i++) | |
| e[i].classList.remove('selected'); | |
| document.querySelectorAll("a[href^='" + window.location.hash + "']")[0].classList.add('selected'); | |
| loadCSV(window.location.hash.substring(1)); // We don't need the # character at the beginning. | |
| } | |
| window.onload = function() { | |
| var s = ''; | |
| for (i = 0; i < window.CSVnames.length; i++) // Populate the menu. | |
| s += '<a href="#' + window.CSVnames[i] + '">' + window.CSVnames[i] + '</a>\n'; | |
| document.getElementById('menu').innerHTML = s; | |
| if (window.CSVnames.includes(window.location.hash.substring(1))) | |
| window.onhashchange(); // Show if specified and valid. | |
| else | |
| window.location.hash = '#' + window.CSVnames[0]; // Load first if none specified. | |
| var g = document.getElementById('mygraph'), t; | |
| new ResizeObserver(function() { // Update render if div is resized, but only once every 100 millisecs. | |
| if (t) clearTimeout(t); | |
| t = setTimeout(function() { | |
| window.graph.setSize(g.offsetWidth - 2 + 'px', g.offsetHeight - 2 + 'px'); | |
| }, 100); | |
| }).observe(g); | |
| }; | |
| </script> | |
| </head> | |
| <body> | |
| <div class="dropdown"> | |
| <button class="dropbtn">Data Source ⇓</button> | |
| <div id="menu" class="dropdown-content"></div><br><br> | |
| </div> | |
| <div id="mygraph"></div> | |
| </body> | |
| </html> |
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Learn more about bidirectional Unicode characters
| <!DOCTYPE HTML> | |
| <html> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title>ECharts Plot</title> | |
| <style> | |
| body {font: 10pt arial; margin: 0px;} | |
| #mygraph { | |
| display: inline-block; | |
| border: 1px solid black; | |
| background-image: url('./Labor-logo_feliratos.jpg'), | |
| url("data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg' role='img' viewBox='0 0 24 24'><path d='M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12'/></svg>"), | |
| url("data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg' width='128px' height='32px'><text x='0' y='18' fill='black' font-size='16' font-style='italic' font-weight='bold'>Visualization: hdf</text></svg>"); | |
| background-repeat: no-repeat; | |
| background-position: left bottom, right 6px bottom 4px, right 36px bottom; | |
| background-size: 179px 240px, 32px 32px, 128px 32px; | |
| /*width: 50vw; | |
| height: 50vh;*/ | |
| width: 800px; | |
| height: 600px; | |
| resize: both; | |
| overflow: auto; | |
| } | |
| .dropbtn { | |
| background-color: #aaa; | |
| color: white; | |
| padding: 16px; | |
| font-size: 16px; | |
| border: none; | |
| cursor: pointer; | |
| border-radius: 5px; | |
| line-height: 17px; | |
| /*visibility: hidden;*/ | |
| } | |
| .dropdown { | |
| position: fixed; | |
| top: 8px; | |
| right: 8px; | |
| display: inline-block; | |
| z-index: 1; | |
| opacity: 0.8; | |
| } | |
| .dropdown-content { | |
| right: 0; | |
| display: none; | |
| position: absolute; | |
| background-color: #f9f9f9; | |
| min-width: 160px; | |
| max-width: calc(100vw - 35px); | |
| box-shadow: 0px 8px 16px 0px rgba(0,0,0,0.2); | |
| z-index: 1; | |
| max-height: calc(100vh - 80px); | |
| overflow-y: auto; | |
| } | |
| .dropdown-content a { | |
| color: black; | |
| padding: 12px 18px; | |
| text-decoration: none; | |
| display: block; | |
| } | |
| .dropdown-content a:hover {background-color: #f1f1f1} | |
| .dropdown:hover .dropdown-content {display: block;} | |
| .dropdown:hover .dropbtn {background-color: #bbb;} | |
| .dropdown .selected {background-color: #ccc !important;} | |
| </style> | |
| <script type="text/javascript"> | |
| if (!navigator.onLine) { | |
| (function() { | |
| var s = document.createElement('script'); | |
| s.src = './echarts.min.js'; | |
| document.getElementsByTagName('head')[0].appendChild(s); | |
| s = document.createElement('script'); | |
| s.src = './echarts-gl.min.js'; | |
| document.getElementsByTagName('head')[0].appendChild(s); | |
| })(); | |
| } | |
| </script> | |
| <script src="https://cdn.jsdelivr.net/npm/echarts/dist/echarts.min.js"></script> | |
| <script src="https://cdn.jsdelivr.net/npm/echarts-gl/dist/echarts-gl.min.js"></script> | |
| <script type="text/javascript"> | |
| var CSVpath = './CSVjs/'; // Will be updated by txt2js.py. | |
| window.CSVnames = ['combined', '1/combined', '1/L4_L5_beta_0_gamma_0_089_vegen', '1/vegen_korpalya_L4_beta_0_gamma_0_089_3650_napig_90000db_dt_0_01', '1/vegen_korpalya_L5_beta_0_gamma_0_089_3650_napig_90000db_dt_0_01', '2/combined', '2/L4_L5_beta_PI_per_2_gamma_0_089_vegen', '2/vegen_korpalya_L4_beta_PI_per_2_gamma_0_089_3650_napig_90000db_dt_0_01', '2/vegen_korpalya_L5_beta_PI_per_2_gamma_0_089_3650_napig_90000db_dt_0_01', '3/combined', '3/L4_L5_beta_PI_gamma_0_089_vegen', '3/vegen_korpalya_L4_beta_PI_gamma_0_089_3650_napig_90000db_dt_0_01', '3/vegen_korpalya_L5_beta_PI_gamma_0_089_3650_napig_90000db_dt_0_01', '4/combined', '4/L4_L5_beta_3PI_per_2_gamma_0_089_vegen', '4/vegen_korpalya_L4_beta_3PI_per_2_gamma_0_089_3650_napig_90000db_dt_0_01', '4/vegen_korpalya_L5_beta_3PI_per_2_gamma_0_089_3650_napig_90000db_dt_0_01']; // Will be updated by txt2js.py. | |
| window.CSVfiles = []; // Contents of the datafiles. Just an array of (large) texts. | |
| window.loadedCSVs = {}; // Hashtable of names and the associated index for the CSVfiles array. | |
| function drawVisualization(toDraw) { | |
| /*function colorMap(v) { | |
| var c = {color: '#000', borderColor: '#555'}; | |
| if (v == 1) c = {color: '#66A7C5', borderColor: '#369'}; | |
| if (v == 2) c = {color: '#EE3233', borderColor: '#903'}; | |
| return c; | |
| }*/ | |
| var lines = window.CSVfiles[toDraw].trim().split('\n') | |
| .map(v=>v.trim().split('\t') | |
| .map(v=>parseFloat(v))) | |
| .sort((a, b) => a[0] - b[0]); | |
| //.map(v=>({x: v[1], y: v[2], z: v[3], itemStyle: colorMap(v[0])})); | |
| //.map(v=>[colorMap(v[0]), v[1], v[2], v[3]]); | |
| var options = { | |
| grid3D: { | |
| viewControl: { | |
| rotateSensitivity: 3, | |
| zoomSensitivity: 3, | |
| panSensitivity: 3 | |
| } | |
| }, | |
| xAxis3D: {min: -0.004, max: 0.004, axisPointer: {show: false}}, | |
| yAxis3D: {min: -0.004, max: 0.004, axisPointer: {show: false}}, | |
| zAxis3D: {min: -0.004, max: 0.004, axisPointer: {show: false}}, | |
| series: [{ | |
| type: 'scatter3D', | |
| data: lines, | |
| encode: { | |
| x: 1, | |
| y: 2, | |
| z: 3 | |
| }, | |
| silent: true | |
| }], | |
| visualMap: [{ | |
| type: 'piecewise', | |
| pieces: [ | |
| {value: 0, color: '#000', symbol: 'diamond', symbolSize: 5, label: 'L4 & L5'}, | |
| {value: 1, color: '#66A7C5', symbol: 'circle', symbolSize: 2, label: 'L5'}, | |
| {value: 2, color: '#EE3233', symbol: 'circle', symbolSize: 2, label: 'L4'} | |
| ], | |
| dimension: 0, | |
| top: 0, | |
| right: 0//, | |
| //showLabel: false | |
| }] | |
| }; | |
| window.graph.setOption(options); | |
| } | |
| function loadCSV(name) { | |
| if (name in window.loadedCSVs) { // Just show the data if we already have it. | |
| drawVisualization(window.loadedCSVs[name]); | |
| return; | |
| } | |
| window.loadedCSVs[name] = window.CSVfiles.length; // We associate the name of the dataset with the index of it's contents in the array of dataset contents. | |
| var s = document.createElement('script'); | |
| s.async = false; // Let's avoid race conditions that might mess up the index associations. | |
| s.defer = false; // Same as above. | |
| s.src = CSVpath + name + '.js'; | |
| s.onload = function() { | |
| drawVisualization(window.loadedCSVs[name]); | |
| }; | |
| document.getElementsByTagName('body')[0].appendChild(s); | |
| } | |
| window.onhashchange = function() { | |
| var e = document.getElementsByClassName('selected'); | |
| for (var i = 0; i < e.length; i++) | |
| e[i].classList.remove('selected'); | |
| document.querySelectorAll("a[href^='" + window.location.hash + "']")[0].classList.add('selected'); | |
| loadCSV(window.location.hash.substring(1)); // We don't need the # character at the beginning. | |
| } | |
| window.onload = function() { | |
| window.graph = echarts.init(document.getElementById('mygraph')); | |
| var s = ''; | |
| for (i = 0; i < window.CSVnames.length; i++) // Populate the menu. | |
| s += '<a href="#' + window.CSVnames[i] + '">' + window.CSVnames[i] + '</a>\n'; | |
| document.getElementById('menu').innerHTML = s; | |
| if (window.CSVnames.includes(window.location.hash.substring(1))) | |
| window.onhashchange(); // Show if specified and valid. | |
| else | |
| window.location.hash = '#' + window.CSVnames[0]; // Load first if none specified. | |
| var g = document.getElementById('mygraph'), t; | |
| new ResizeObserver(function() { // Update render if div is resized, but only once every 50 millisecs. | |
| if (t) clearTimeout(t); | |
| t = setTimeout(function() { | |
| window.graph.resize(); | |
| }, 50); | |
| }).observe(g); | |
| }; | |
| </script> | |
| </head> | |
| <body> | |
| <div class="dropdown"> | |
| <button class="dropbtn">Data Source ⇓</button> | |
| <div id="menu" class="dropdown-content"></div><br><br> | |
| </div> | |
| <div id="mygraph"></div> | |
| </body> | |
| </html> |
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| @echo off | |
| rem cls | |
| setlocal | |
| echo( | |
| echo Data combing (default values in brackets): | |
| echo --- | |
| set /P d=Set data directory: [data] || set d=data | |
| set /P o=Set output file: [out.txt] || set o=out.txt | |
| set /P f=Limit generation to this many frames: number/[no] || set f=0 | |
| echo( | |
| python comb.py %d% %o% %f% | |
| echo( | |
| echo Animation: | |
| echo --- | |
| set /P s=Save to mp4?: [y]/n | |
| set o2=out.mp4 | |
| set save= | |
| If /I "%s%"=="n" goto nosave | |
| set save= save | |
| set /P o2=Set output file: [out.mp4] || set o2=out.mp4 | |
| :nosave | |
| set /P nofo=Disable automatic scaling? (Makes Earth big.): y/[n] | |
| If /I "%nofo%"=="y" goto nofo | |
| set nofo= | |
| goto fo | |
| :nofo | |
| set nofo= nofo | |
| :fo | |
| echo( | |
| python animate.py %o% %o2%%save%%nofo% | |
| endlocal |
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| import sys, os, time, binascii, subprocess, time | |
| from multiprocessing import Pool | |
| import numpy as np | |
| cores = os.cpu_count() | |
| if cores is None: | |
| cores = 1 | |
| cores *= cores | |
| # Usage: runner.py [data_dir [output_file [intervall]]] | |
| intervall = [float(e) for e in sys.argv if e.replace('.', '', 1).isdigit()] | |
| intervall = 0.0001 if len(intervall) < 1 else intervall[0] | |
| dir = 'data' if len(sys.argv) < 2 or not os.path.isdir(sys.argv[1]) else sys.argv[1] | |
| out = 'out.mp4' if len(sys.argv) < 3 or sys.argv[2].replace('.', '', 1).isdigit() or os.path.isdir(sys.argv[1]) else sys.argv[2] | |
| largest = None | |
| start = time.time() | |
| def run_process(process): | |
| print('Starting:', ' '.join(process[1:-1])) | |
| #with open(process[-1], 'w') as f: | |
| # subprocess.call(process[:-1], stdout = subprocess.DEVNULL, stderr = f) | |
| subprocess.call(process[:-1], stdout = subprocess.DEVNULL) | |
| if __name__ == "__main__": | |
| for (dirpath, dirnames, filenames) in os.walk(dir): | |
| files = [os.path.join(dirpath, file) for file in filenames] | |
| for file in files: | |
| size = os.stat(file).st_size | |
| if largest is None or largest[1] < size: | |
| largest = [file.replace('\\', '/'), size] | |
| with open(largest[0], 'r') as file: | |
| file.seek(largest[1] - 1024) # alternatively: os.SEEK_END | |
| last = float(file.read().rsplit('\n', 2)[1].strip().partition('\t')[0]) | |
| frames = int(last / intervall) + 1 | |
| #partitions = int(frames / cores) | |
| #remainder = frames % cores | |
| sections = sorted(set(np.linspace(0, frames, cores + 1, dtype = np.uint))) | |
| tmp = hex(binascii.crc32(bytearray(str(time.time()).encode('ascii'))))[2:] | |
| while os.path.exists('tmp/' + tmp): | |
| tmp = hex(binascii.crc32(bytearray(str(time.time()).encode('ascii'))))[2:] | |
| os.makedirs('tmp/' + tmp) | |
| comb_procs = [] | |
| ani_procs = [] | |
| file_list = [] | |
| colors_files = [] | |
| colors = set() | |
| for i in range(cores): | |
| tmp_str = 'tmp/' + tmp + '/out_' + str(i) | |
| comb_procs.append(['python', 'comb.py', dir, tmp_str + '.txt'] + [str(sections[i + 1]), str(sections[i]), str(intervall)] + [tmp_str.rpartition('_')[0] + '_comb_log.txt']) | |
| ani_procs.append(['python', 'animate.py', tmp_str + '.txt', tmp_str + '.mp4'] + [str(sections[i + 1]), str(sections[i]), str(intervall)] + ['save', 'nofo'] + [tmp_str.rpartition('_')[0] + '_animate_log.txt']) | |
| file_list.append("file 'out_" + str(i) + ".mp4'\n") | |
| colors_files.append(tmp_str.rpartition('/')[0] + '/colors_' + tmp_str.rpartition('/')[2] + '.txt') | |
| with Pool(processes = cores) as pool: | |
| pool.map(run_process, comb_procs) | |
| r = [i for i, e in enumerate(comb_procs) if os.stat(e[3]).st_size < 1] | |
| for i in sorted(r, reverse = True): | |
| os.remove(comb_procs[i][3]) | |
| os.remove(colors_files[i]) | |
| del comb_procs[i] | |
| del ani_procs[i] | |
| del file_list[i] | |
| del colors_files[i] | |
| with open('tmp/' + tmp + '/list.txt', 'w') as f: | |
| for file in file_list: | |
| f.write(file) | |
| for cf in colors_files: | |
| with open(cf, 'r') as f: | |
| for line in f: | |
| colors.add(line.strip()) | |
| os.remove(cf) | |
| with open('tmp/' + tmp + '/colors.txt', 'w') as f: | |
| f.write('\n'.join(sorted(colors)) + '\n') | |
| print('All combing processes finished.') | |
| pool.map(run_process, ani_procs) | |
| print('All rendering processes completed.') | |
| ffmpeg = ['ffmpeg', '-f', 'concat', '-i', 'tmp/' + tmp + '/list.txt', '-c', 'copy', out] | |
| print('Starting:', ' '.join(ffmpeg)) | |
| subprocess.call(ffmpeg) | |
| print('\n', out, 'written. All tasks completed in', format(time.time() - start, '.3f'), 'seconds.') |
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| import os, sys, re | |
| dir = sys.argv[1] if len(sys.argv) > 1 else 'CSVjs' # We have one command line argument. The destination directory for the js-ified CSV files. | |
| if not os.path.exists(dir): # Create the directory if does not exist. | |
| os.makedirs(dir) | |
| #txtFiles = filter(lambda n: n[-4:] == '.txt', os.listdir()) # Get the names of the txt files in the current direcotry. | |
| txtFiles = [] # Get the names of the txt files in the current direcotry and subdirectories recursively. | |
| for r, d, f in os.walk('./'): | |
| r = os.path.relpath(r) | |
| for f in f: | |
| if f[-4:] == '.txt': | |
| txtFiles.append(os.path.join(r, f).replace('\\', '/')) | |
| processed = 0 | |
| for file in txtFiles: # Js-ify the CSV txts. :) | |
| with open(file, 'r') as f: | |
| d = os.path.dirname(dir + '/' + file) # Create the directory path for the file if it does not exist. | |
| if not os.path.exists(d): | |
| os.makedirs(d) | |
| with open(dir + '/' + file[:-4] + '.js', 'w') as f2: | |
| f2.write('window.CSVfiles.push(`\n' + f.read().strip() + '\n`);\n') | |
| processed += 1 | |
| #jsFiles = filter(lambda n: n[-3:] == '.js', os.listdir(dir)) # Get all the js files in the data directory. | |
| jsFiles = [] # Get the names of the js files in the data direcotry and subdirectories recursively. | |
| for r, d, f in os.walk(dir): | |
| r = os.path.relpath(r, dir) | |
| for f in f: | |
| if f[-3:] == '.js': | |
| jsFiles.append(os.path.join(r, f).replace('\\', '/').replace('./', '')) | |
| for fn in ('plot4.html', 'plot5.html'): | |
| with open(fn, 'r+') as f: # Modify our html file to reflect the current situation. | |
| s = f.read() | |
| with open(fn[:-5] + '_bak.html', 'w') as f2: # Make a backup. You never know. | |
| f2.write(s) | |
| s = re.sub(r'(var CSVpath = \'\.\/)\w+(\/\';)', r'\g<1>' + dir + r'\g<2>', s, count=1) # Update database path if command line argument changed it. | |
| s = re.sub(r'(window\.CSVnames = \[).*(\];)', r'\g<1>' + ', '.join(["'{0}'".format(file[:-3]) for file in jsFiles]) + r'\g<2>', s, count=1) # List all the js files in the database directory in to our array. | |
| f.seek(0) | |
| f.write(s) | |
| f.truncate() | |
| print(f'All done. Written {processed} files to {dir}. Also created a backup of plotting html files, and updated the originals.') |
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And the result is:
And here is more:
https://hdfvis.surge.sh/
https://hdfvis.surge.sh/chart
(https://hdfvis.surge.sh/plot3)
https://hdfvis.surge.sh/plot4/plot4
https://hdfvis.surge.sh/plot4/plot5
https://hdfvis.surge.sh/plot4/dumbo
https://hdfvis.surge.sh/plot4/dumbo2
https://hdfvis.surge.sh/plot4D/dumbo4D2
https://hdfvis.surge.sh/kocka/kocka4D.html