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{
"cells": [
{
"metadata": {},
"cell_type": "markdown",
"source": "### Load compressed cnv seabird file"
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "from ctd import DataFrame\n\ncast = DataFrame.from_cnv('./data/CTD_046.cnv.bz2', compression='bz2')",
"execution_count": 1,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "The method `from_cnv`, `from_fsi`, and `from_edf`) are in fact just a\nhack-ish loop through the data file. The code is quite simple and very easy\nto adapt to other CTD-like formats.\n\nHere is the gist of it:\n\n```python\n f = read_file(fname, compression=compression)\n header, config, names = [], [], []\n for k, line in enumerate(f.readlines()):\n line = line.strip()\n if '# name' in line: # Get columns names.\n name, unit = line.split('=')[1].split(':')\n name, unit = list(map(normalize_names, (name, unit)))\n names.append(name)\n if line.startswith('*'): # Get header.\n header.append(line)\n if line.startswith('#'): # Get configuration file.\n config.append(line)\n if 'NMEA Latitude' in line:\n hemisphere = line[-1]\n lat = line.strip(hemisphere).split('=')[1].strip()\n lat = np.float_(lat.split())\n if hemisphere == 'S':\n lat = -(lat[0] + lat[1] / 60.)\n elif hemisphere == 'N':\n lat = lat[0] + lat[1] / 60.\n else:\n raise ValueError(\"Latitude not recognized.\")\n if 'NMEA Longitude' in line:\n hemisphere = line[-1]\n lon = line.strip(hemisphere).split('=')[1].strip()\n lon = np.float_(lon.split())\n if hemisphere == 'W':\n lon = -(lon[0] + lon[1] / 60.)\n elif hemisphere == 'E':\n lon = lon[0] + lon[1] / 60.\n else:\n raise ValueError(\"Latitude not recognized.\")\n if line == '*END*': # Get end of header.\n skiprows = k + 1\n break\n\n f.seek(0)\n cast = read_table(f, header=None, index_col=None, names=names,\n skiprows=skiprows, delim_whitespace=True)\n f.close()\n```"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "There are alternative out there using regexp, but I like prefer to keep it\nsimple and hackable. That way one can easily write a custom header-parser\nand, once you get to the data, it is just a call to `pandas.read_table`!\n\nI am worried about those guys when that rope breaks and the \"IT hero\" is no\nlonger there.\n\n![](http://imgs.xkcd.com/comics/regular_expressions.png)"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "The metadata, like the GPS position, can be accessed directly from the DataFrame object."
},
{
"metadata": {
"collapsed": true,
"trusted": true
},
"cell_type": "code",
"source": "lon, lat = cast.longitude.mean(), cast.latitude.mean()",
"execution_count": 2,
"outputs": []
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "hours = cast['timeS'].max() / 60. / 60.\n\nprint(\"CTD cast info\\nlon: {:.2f}\\nlat: {:.2f}\\nduration: {:.2f} hours\".format(lon, lat, hours))",
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": "CTD cast info\nlon: -36.33\nlat: -21.37\nduration: 2.89 hours\n",
"name": "stdout"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "And now for the pandas goodies! First we can filter the bad pump values."
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "cast = cast[cast['pumps']]",
"execution_count": 4,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "In addition to pandas methods you'll find some new specific methods for CTD\ndata. Like `split()` to separate the downcast from the upcast."
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "downcast, upcast = cast.split()",
"execution_count": 5,
"outputs": []
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "downcast[['scan', 'c0S/m', 't090C', 'timeS', 'altM', 'longitude', 'latitude']].tail()",
"execution_count": 6,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>scan</th>\n <th>c0S/m</th>\n <th>t090C</th>\n <th>timeS</th>\n <th>altM</th>\n <th>longitude</th>\n <th>latitude</th>\n </tr>\n <tr>\n <th>Pressure [dbar]</th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>4285.697</th>\n <td>114492</td>\n <td>3.113136</td>\n <td>0.7088</td>\n <td>4770.458</td>\n <td>19.37</td>\n <td>-36.327</td>\n <td>-21.3725</td>\n </tr>\n <tr>\n <th>4285.697</th>\n <td>114493</td>\n <td>3.113160</td>\n <td>0.7092</td>\n <td>4770.500</td>\n <td>19.37</td>\n <td>-36.327</td>\n <td>-21.3725</td>\n </tr>\n <tr>\n <th>4285.697</th>\n <td>114494</td>\n <td>3.113171</td>\n <td>0.7094</td>\n <td>4770.542</td>\n <td>19.37</td>\n <td>-36.327</td>\n <td>-21.3725</td>\n </tr>\n <tr>\n <th>4285.737</th>\n <td>114495</td>\n <td>3.113189</td>\n <td>0.7094</td>\n <td>4770.583</td>\n <td>19.32</td>\n <td>-36.327</td>\n <td>-21.3725</td>\n </tr>\n <tr>\n <th>4285.697</th>\n <td>114496</td>\n <td>3.113183</td>\n <td>0.7094</td>\n <td>4770.625</td>\n <td>19.29</td>\n <td>-36.327</td>\n <td>-21.3725</td>\n </tr>\n </tbody>\n</table>\n</div>",
"text/plain": " scan c0S/m t090C timeS altM longitude \\\nPressure [dbar] \n4285.697 114492 3.113136 0.7088 4770.458 19.37 -36.327 \n4285.697 114493 3.113160 0.7092 4770.500 19.37 -36.327 \n4285.697 114494 3.113171 0.7094 4770.542 19.37 -36.327 \n4285.737 114495 3.113189 0.7094 4770.583 19.32 -36.327 \n4285.697 114496 3.113183 0.7094 4770.625 19.29 -36.327 \n\n latitude \nPressure [dbar] \n4285.697 -21.3725 \n4285.697 -21.3725 \n4285.697 -21.3725 \n4285.737 -21.3725 \n4285.697 -21.3725 "
},
"metadata": {},
"execution_count": 6
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Want to know how your sensors performed during the downcast?\nPandas `describe` to the rescue."
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "downcast[['t090C', 't190C', 'c0S/m', 'c1S/m']].describe()",
"execution_count": 7,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>t090C</th>\n <th>t190C</th>\n <th>c0S/m</th>\n <th>c1S/m</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>count</th>\n <td>114092.000000</td>\n <td>114092.000000</td>\n <td>114092.000000</td>\n <td>114092.000000</td>\n </tr>\n <tr>\n <th>mean</th>\n <td>5.775897</td>\n <td>5.780513</td>\n <td>3.536692</td>\n <td>3.537899</td>\n </tr>\n <tr>\n <th>std</th>\n <td>6.871362</td>\n <td>6.870320</td>\n <td>0.711024</td>\n <td>0.711174</td>\n </tr>\n <tr>\n <th>min</th>\n <td>0.705500</td>\n <td>0.709400</td>\n <td>3.112805</td>\n <td>3.113790</td>\n </tr>\n <tr>\n <th>25%</th>\n <td>2.402850</td>\n <td>2.407800</td>\n <td>3.227308</td>\n <td>3.228411</td>\n </tr>\n <tr>\n <th>50%</th>\n <td>3.410700</td>\n <td>3.416200</td>\n <td>3.263972</td>\n <td>3.265086</td>\n </tr>\n <tr>\n <th>75%</th>\n <td>3.994600</td>\n <td>3.999900</td>\n <td>3.312170</td>\n <td>3.313299</td>\n </tr>\n <tr>\n <th>max</th>\n <td>26.034200</td>\n <td>26.035300</td>\n <td>5.726510</td>\n <td>5.727958</td>\n </tr>\n </tbody>\n</table>\n</div>",
"text/plain": " t090C t190C c0S/m c1S/m\ncount 114092.000000 114092.000000 114092.000000 114092.000000\nmean 5.775897 5.780513 3.536692 3.537899\nstd 6.871362 6.870320 0.711024 0.711174\nmin 0.705500 0.709400 3.112805 3.113790\n25% 2.402850 2.407800 3.227308 3.228411\n50% 3.410700 3.416200 3.263972 3.265086\n75% 3.994600 3.999900 3.312170 3.313299\nmax 26.034200 26.035300 5.726510 5.727958"
},
"metadata": {},
"execution_count": 7
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Now that we know both sensors worked just fine we can reduce the amount of \ndata in our DataFrame with a simple `set()` trick."
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "downcast.columns",
"execution_count": 8,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "Index([ u'scan', u'timeS', u't090C', u't190C',\n u'c0S/m', u'c1S/m', u'sbeox0V', u'par',\n u'spar', u'ph', u'altM', u'v0',\n u'v1', u'v2', u'v3', u'v4',\n u'v5', u'v6', u'v7', u'latitude',\n u'longitude', u'pumps', u'pla', u'sbeox0PS',\n u'sbeox0Mm/Kg', u'dz/dtM', u'accM', u'flSP',\n u'xmiss', u'flag'],\n dtype='object')"
},
"metadata": {},
"execution_count": 8
}
]
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "keep = set(['t090C', 'c0S/m', 'sbeox0Mm/Kg', 'dz/dtM'])\n\ndowncast = downcast.drop(keep.symmetric_difference(cast.columns), axis=1)",
"execution_count": 9,
"outputs": []
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "downcast.head()",
"execution_count": 10,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>t090C</th>\n <th>c0S/m</th>\n <th>sbeox0Mm/Kg</th>\n <th>dz/dtM</th>\n </tr>\n <tr>\n <th>Pressure [dbar]</th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>3.227</th>\n <td>26.0082</td>\n <td>5.701657</td>\n <td>126.173</td>\n <td>-0.352</td>\n </tr>\n <tr>\n <th>3.241</th>\n <td>26.0102</td>\n <td>5.701902</td>\n <td>126.169</td>\n <td>0.351</td>\n </tr>\n <tr>\n <th>3.227</th>\n <td>26.0120</td>\n <td>5.701145</td>\n <td>126.171</td>\n <td>-0.352</td>\n </tr>\n <tr>\n <th>3.183</th>\n <td>26.0136</td>\n <td>5.701123</td>\n <td>126.168</td>\n <td>-1.055</td>\n </tr>\n <tr>\n <th>3.168</th>\n <td>26.0147</td>\n <td>5.700634</td>\n <td>126.063</td>\n <td>-0.352</td>\n </tr>\n </tbody>\n</table>\n</div>",
"text/plain": " t090C c0S/m sbeox0Mm/Kg dz/dtM\nPressure [dbar] \n3.227 26.0082 5.701657 126.173 -0.352\n3.241 26.0102 5.701902 126.169 0.351\n3.227 26.0120 5.701145 126.171 -0.352\n3.183 26.0136 5.701123 126.168 -1.055\n3.168 26.0147 5.700634 126.063 -0.352"
},
"metadata": {},
"execution_count": 10
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "python-ctd can mimic all the processing steps from the Seabird Software.\nThe main difference is that python-ctd is Open Source ;-)"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "- Smooth velocity and Oxygen with a 2 seconds window:"
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "from ctd import movingaverage\n\n\ncast['dz/dtM'] = movingaverage(cast['dz/dtM'], window_size=48)\ncast['sbeox0Mm/Kg'] = movingaverage(cast['sbeox0Mm/Kg'], window_size=48)",
"execution_count": 11,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "- Filter pressure:"
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "from ctd import lp_filter\n\n\nkw = dict(sample_rate=24.0, time_constant=0.15)\ncast.index = lp_filter(cast.index, **kw)",
"execution_count": 12,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "- Loop Edit:"
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "downcast = downcast.press_check() # Remove pressure reversals.\ndowncast = downcast[downcast['dz/dtM'] >= 0.25] # Threshold velocity.",
"execution_count": 13,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "- Wild Edit:"
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "from ctd import Series\n\n\nkw = dict(n1=2, n2=20, block=150)\ndowncast = downcast.apply(Series.despike, **kw)",
"execution_count": 14,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "- Bin-average:"
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "downcast = downcast.apply(Series.bindata, **dict(delta=1.))\ndowncast = downcast.apply(Series.interpolate)",
"execution_count": 15,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "- Smooth:"
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "pmax = max(cast.index)\nif pmax >= 500:\n window_len = 21\nelif pmax >= 100:\n window_len = 11\nelse:\n window_len = 5\nkw = dict(window_len=window_len, window='hanning')\ndowncast = downcast.apply(Series.smooth, **kw)",
"execution_count": 16,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "- The module also allows for a more \"customized\" `Derive` step:"
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "from ctd import rosette_summary",
"execution_count": 17,
"outputs": []
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "import gsw\nfrom oceans.sw_extras import gamma_GP_from_SP_pt\n\n\np = downcast.index.values.astype(float)\n\ndowncast.index.name = \"Pressure\"\ndowncast['depth'] = -gsw.z_from_p(p, lat)\ndowncast['SP'] = gsw.SP_from_C(downcast['c0S/m'].values * 10, downcast['t090C'].values, p)\ndowncast['SA'] = gsw.SA_from_SP(downcast['SP'].values, p, lon, lat)\ndowncast['CT'] = gsw.CT_from_t(downcast['SA'].values, downcast['t090C'].values, p)\ndowncast['sigma0_CT'] = gsw.sigma0_CT_exact(downcast['SA'].values, downcast['CT'].values)\ndowncast['sound'] = gsw.sound_speed_CT_exact(downcast['SA'].values, downcast['CT'].values, p)\ndowncast['gamma'] = gamma_GP_from_SP_pt(downcast['SA'].values, downcast['CT'].values, p, lon, lat)\n\n# Does't fit the DataFrame because the index in at the middle (p_mid) point of the original data.\nN2, p_mid = gsw.Nsquared(downcast['SA'].values, downcast['CT'].values, p, lat=lat)\nN2 = DataFrame(N2, index=p_mid, columns=['N2'])",
"execution_count": 18,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Plots are easy if we take advantage of pandas plotting feature (with a reversed order for the index of course =)"
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "%matplotlib inline\n\nfig, ax = downcast['SA'].plot(figsize=(3, 5))",
"execution_count": 19,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": "<matplotlib.figure.Figure at 0x7f098de7cc10>"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "One can easily implement a customized plot."
},
{
"metadata": {
"collapsed": true,
"trusted": true
},
"cell_type": "code",
"source": "from matplotlib import style\nstyle.use('ggplot')\n\nimport matplotlib.pyplot as plt\nimport mpl_toolkits.axisartist as AA\nfrom mpl_toolkits.axes_grid1 import host_subplot\n\ndef adjust_xlim(ax, offset):\n x1, x2 = ax.get_xlim()\n ax.set_xlim(x1 - offset, x2 + offset)\n\n\ndef plot_vars(self, title, **kw):\n fig = plt.figure(figsize=(6, 9))\n fig.subplots_adjust(bottom=0.1, top=0.85)\n if title:\n fig.suptitle(title)\n ax0 = host_subplot(111, axes_class=AA.Axes)\n ax0.invert_yaxis()\n\n ax1, ax2, ax3 = ax0.twiny(), ax0.twiny(), ax0.twiny()\n\n new_axis0 = ax0.get_grid_helper().new_fixed_axis\n new_axis1 = ax1.get_grid_helper().new_fixed_axis\n new_axis2 = ax2.get_grid_helper().new_fixed_axis\n new_axis3 = ax3.get_grid_helper().new_fixed_axis\n\n ax0.axis[\"bottom\"] = new_axis0(loc=\"bottom\", axes=ax0, offset=(0, 0))\n ax1.axis[\"bottom\"] = new_axis1(loc=\"bottom\", axes=ax1, offset=(0, -30))\n ax2.axis[\"top\"] = new_axis2(loc=\"top\", axes=ax2, offset=(0, 0))\n ax3.axis[\"top\"] = new_axis3(loc=\"top\", axes=ax3, offset=(0, 30))\n\n ax0.axis[\"top\"].toggle(all=False)\n ax1.axis[\"top\"].toggle(all=False)\n ax2.axis[\"bottom\"].toggle(all=False)\n ax3.axis[\"bottom\"].toggle(all=False)\n\n ax0.set_ylabel(\"Pressure [dbar]\")\n ax0.set_xlabel(r\"Oxygen [$\\mu$mol kg$^{-1}$]\")\n ax1.set_xlabel(r\"Absolute Salinity [g kg$^{-1}$]\")\n ax2.set_xlabel(u\"Conservative Temperature [\\xb0C]\")\n ax3.set_xlabel(r\"$\\gamma^{GP}$ [kg m$^{-3}$]\")\n\n l0, = ax0.plot(self['sbeox0Mm/Kg'], self.index, 'orchid')\n l1, = ax1.plot(self['SA'], self.index, 'darkorange')\n l2, = ax2.plot(self['CT'], self.index, 'darkgreen')\n l3, = ax3.plot(self['gamma'], self.index, 'crimson')\n\n adjust_xlim(ax0, offset=1)\n adjust_xlim(ax1, offset=0.15)\n adjust_xlim(ax2, offset=0.05)\n adjust_xlim(ax3, offset=0.05)\n\n ax0.axis[\"bottom\"].label.set_color(l0.get_color())\n ax1.axis[\"bottom\"].label.set_color(l1.get_color())\n ax2.axis[\"top\"].label.set_color(l2.get_color())\n ax3.axis[\"top\"].label.set_color(l3.get_color())\n \n return fig, (ax0, ax1, ax2, ax3), (l0, l1, l2, l3)",
"execution_count": 20,
"outputs": []
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "fig, axes, lines = plot_vars(downcast, title=None, **kw)\nfig.savefig(\"plot_vars.pdf\")",
"execution_count": 21,
"outputs": [
{
"output_type": "display_data",
"data": {
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KhHaTJlZsX3G81VR5LqTaJa9ATnO5xblEBkeiqlV/FN5b9x6PnfcYkY5IIh2RPH7+47z9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QAAAg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\nAAAAAElFTkSuQmCC\n",
"text/plain": "<matplotlib.figure.Figure at 0x7f098ab2c950>"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "There are some extra plotting routines to display scientific cruises \ntransects."
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "from pandas import HDFStore\n\n\nstore = HDFStore('./data/CTD_Rad_6.h5', 'r')\n\nfiltro = lambda x: not 'lon' in x and not 'lat' in x\nrad = filter(filtro, store.keys())[0].lstrip('/')\nradial = store[rad]\nradial.lon = store['lon']\nradial.lat = store['lat']\nstore.close()",
"execution_count": 22,
"outputs": []
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "from ctd import plot_section\n\n\nCT = radial.xs('CT0', axis='minor')\nCT.lon = radial.lon\nCT.lat = radial.lat\n\nfig, ax, cb = plot_section(CT, inverse=False, filled=False)\nfig.set_size_inches(13, 7)\nfig.savefig(\"../images/section.pdf\")",
"execution_count": 23,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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0dHRry7UrSQND3fyF3Nzb33/8sejzGBgYyKyrV6+awsORI0dQXl4OrVaLyMhI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\nMiZOnIgBAwaIjkPUqvR6vegIQhnk7YDy8nLcuHGj9uMTJ07A2dkZjo6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"text/plain": "<matplotlib.figure.Figure at 0x7f0984035390>"
},
"metadata": {}
}
]
},
{
"metadata": {
"collapsed": true,
"trusted": true
},
"cell_type": "code",
"source": "import matplotlib.pyplot as plt\n\nimport cartopy.crs as ccrs\nfrom cartopy.io import shapereader\nfrom cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n\n\ndef make_map(projection=ccrs.PlateCarree()):\n fig, ax = plt.subplots(figsize=(9, 13),\n subplot_kw=dict(projection=projection))\n gl = ax.gridlines(draw_labels=True)\n gl.xlabels_top = gl.ylabels_right = False\n gl.xformatter = LONGITUDE_FORMATTER\n gl.yformatter = LATITUDE_FORMATTER\n return fig, ax",
"execution_count": 24,
"outputs": []
},
{
"metadata": {
"collapsed": true,
"trusted": true
},
"cell_type": "code",
"source": "dx = dy = 2.5\n\nextent = [min(radial.lon)-dx, max(radial.lon)+dx,\n min(radial.lat)-dy, max(radial.lat)+dy]",
"execution_count": 25,
"outputs": []
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "import numpy as np\nimport numpy.ma as ma\nfrom oceans import etopo_subset\n\n\nx, y, topo = etopo_subset(llcrnrlon=extent[0], urcrnrlon=extent[1],\n llcrnrlat=extent[2], urcrnrlat=extent[3],\n smoo=True, tfile='dap')\n\ntopo = np.where(topo > -1., 1.e10, topo)\ntopo = ma.masked_values(topo, 1.e10)",
"execution_count": 26,
"outputs": []
},
{
"metadata": {
"collapsed": false,
"trusted": true
},
"cell_type": "code",
"source": "import cartopy\nimport shapely.geometry as sgeom\n\n\nfig, ax = make_map(projection=ccrs.PlateCarree())\nax.set_extent(extent)\nax.coastlines(resolution='10m')\nax.plot(radial.lon, radial.lat, 'ko')\ncs = ax.contour(x, y, -topo, (100, 500, 1000, 3000), colors='k', alpha=0.5)\nax.clabel(cs, fmt='%.0f m', fontsize=8, inline=1)\n\n# inset map.\naxin = plt.axes([0.7, 0.55, 0.25, 0.25],\n projection=ccrs.Orthographic(np.mean(radial.lon),\n np.mean(radial.lat)))\n\naxin.add_feature(cartopy.feature.OCEAN, facecolor='white')\naxin.add_feature(cartopy.feature.LAND, facecolor='lightgray')\nextent_box = sgeom.box(extent[0], extent[2], extent[1], extent[3])\naxin.add_geometries([extent_box], ccrs.PlateCarree(), color='none',\n edgecolor='red', linewidth=2)\n\naxin.set_global()\n\nfig.set_size_inches(9, 9)\nfig.savefig(\"../images/mapa.pdf\")",
"execution_count": 27,
"outputs": [
{
"output_type": "stream",
"text": "/home/filipe/.virtualenvs/iris/lib/python2.7/site-packages/matplotlib/text.py:52: UnicodeWarning: Unicode equal comparison failed to convert both arguments to Unicode - interpreting them as being unequal\n if rotation in ('horizontal', None):\n/home/filipe/.virtualenvs/iris/lib/python2.7/site-packages/matplotlib/text.py:54: UnicodeWarning: Unicode equal comparison failed to convert both arguments to Unicode - interpreting them as being unequal\n elif rotation == 'vertical':\n",
"name": "stderr"
},
{
"output_type": "display_data",
"data": {
"image/png": 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REIvFPsfrdDpRWVmJs2fPore3FykpKRCLxTCZTOju7sbatWuRlJQ0qs8AAL7++mv09/fj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\nAAAAAElFTkSuQmCC\n",
"text/plain": "<matplotlib.figure.Figure at 0x7f09872085d0>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": true
},
"cell_type": "code",
"source": "import gsw\nfrom matplotlib import rcParams\nfrom matplotlib.ticker import MultipleLocator\n\n\nrcParams['xtick.direction'] = 'out'\nrcParams['ytick.direction'] = 'out'\n\n\ndef plot_ts(**kw):\n t = kw.pop('temperature', np.arange(0, 15 + 1, 1))\n s = kw.pop('salinity', np.arange(32.5, 35 + 0.1, 0.1))\n levels = kw.pop('levels', [24.5, 25, 26, 26.5, 27, 27.5, 28])\n ax = kw.pop('ax', None)\n S, T = np.meshgrid(s, t)\n sigma_theta = gsw.sigma0(S, T)\n \n if not ax:\n fig, ax = plt.subplots(figsize=(5, 4))\n\n ax.xaxis.set_major_locator(MultipleLocator(0.5))\n ax.xaxis.set_minor_locator(MultipleLocator(0.1))\n ax.yaxis.set_major_locator(MultipleLocator(5))\n ax.yaxis.set_minor_locator(MultipleLocator(1))\n ax.set_ylabel(u\"Temperature \\u00b0C\")\n ax.set_xlabel(r\"Salinity [g kg$^{-1}$]\")\n ax.axis([min(s), max(s), min(t), max(t)])\n \n cs = ax.contour(s, t, sigma_theta, colors='black', levels=levels)\n ax.clabel(cs, fontsize=9, inline=1, fmt='%2.1f')\n return ax",
"execution_count": 28,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "t = np.arange(-1, 27 + 1, 1)\ns = np.arange(34, 37.5 + 0.1, 0.1)\nlevels = np.arange(21, 30, 0.5)\n\nfig, ax = plt.subplots(figsize=(9, 9))\nax = plot_ts(temperature=t, salinity=s, levels=levels, ax=ax)\n\nkw = dict(marker='o', alpha=0.25, color='crimson', markeredgecolor='none')\nl, = ax.plot(downcast['SA'], downcast['CT'], **kw)\n\nfig.savefig(\"../images/TS-diagram.pdf\")",
"execution_count": 29,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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nc+zYMX79619/5/u98cYbqNVqOfH1Inpa1YsjAAwGA7m5uUyfPp2YmBi0Wm2f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2fcuHGl2rvH2NFlqcLCwrCysmLChAkEBAQYZZbquSLFwsKCe/fuPXXvwb179wxWD69Tp47RPlka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\nGomKFEIIIYRoJCpSCCGEEKKR/h846r1UVS8LRgAAAABJRU5ErkJggg==\n",
"text/plain": "<matplotlib.figure.Figure at 0x7f09840bbcd0>"
},
"metadata": {}
}
]
}
],
"metadata": {
"kernelspec": {
"name": "python2",
"display_name": "Python 2",
"language": "python"
},
"language_info": {
"mimetype": "text/x-python",
"nbconvert_exporter": "python",
"name": "python",
"pygments_lexer": "ipython2",
"version": "2.7.8",
"file_extension": ".py",
"codemirror_mode": {
"version": 2,
"name": "ipython"
}
},
"gist_id": "b987b825b01a6c377188"
},
"nbformat": 4,
"nbformat_minor": 0
}
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