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# Format axes for lat and lon | |
ax.xaxis.set_major_locator(ticker.MultipleLocator(base=2./60.)) | |
ax.yaxis.set_major_locator(ticker.MultipleLocator(base=2./60.)) | |
def latformatter(x, pos): | |
'The two args are the value and tick position' | |
if x<0: | |
x=-x | |
minus=True | |
else: | |
minus=False |
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# make a good dissipation color map | |
cdict = {'red': ((0., 1, 1), | |
(0.05, 1, 1), | |
(0.11, 1, 1), | |
(0.4, 0, 0), | |
(0.66, 1, 1), | |
(0.89, 1, 1), | |
(1, 0.5, 0.5)), | |
'green': ((0., 1, 1), |
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import numpy as np | |
import matplotlib.pyplot as plt | |
fig,ax=plt.subplots(2,1) | |
pcm0=ax[0].pcolormesh(np.random.randn(20,30)) | |
fig.colorbar(pcm0,ax=ax[0],shrink=0.75) | |
pcm1=ax[1].pcolormesh(np.random.randn(20,30)) | |
fig.colorbar(pcm1,ax=ax[1],shrink=0.75) | |
# or if you want one beside a bunch, you can make a list to steal from: |
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map=Basemap() | |
ax = plt.gca() | |
def format_coord(x, y): | |
return 'x=%.4f, y=%.4f'%(map(x, y, inverse = True)) | |
ax.format_coord = format_coord |
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fig=figure(figsize=(10,12)) | |
def onclick(event): | |
print 'button=%d, x=%d, y=%d, xdata=%f, ydata=%f'%( | |
event.button, event.x, event.y, event.xdata, event.ydata) | |
cid = fig.canvas.mpl_connect('button_press_event', onclick) |
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from jmkfigure import * | |
cmap=gmtcmap('BlueWhiteOrangeRed') |
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#I have /Users/jklymak/codas/programs/: in my PYTHONPATH | |
from pycurrents.adcp.rdiraw import Multiread | |
# of course you need an ENX file from vmdas! | |
m = Multiread('March10-2015-03/ADCP029*.ENX','wh') | |
# ENX should already be in earth co-ordinates, but you may have to adjust the heading as below: | |
data = m.read() | |
from pycurrents.adcp.transform import heading_rotate | |
from pycurrents.adcp.transform import rdi_xyz_enu | |
dhead = -44. |
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import hdf5storage | |
import numpy as np | |
D =dict() | |
D['boo']=np.arange(10) | |
D['who']=np.arange(20)*2. | |
hdf5storage.savemat('Boo.mat',D) | |
Dread = hdf5storage.loadmat('Boo.mat') |
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# read a smith and sandwell image file: | |
# http://topex.ucsd.edu/marine_topo/ | |
import numpy as np | |
nlon=21600 | |
nlat=17280 | |
fin = open('topo_18.1.img','rb') | |
dat = np.fromfile(fin,dtype='i2') | |
dat.byteswap('True') |
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try: | |
print a+'1' | |
except: | |
traceback.print_exc() | |
print 'hi' |
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