From 0ff55ecb339cdb7270655883a5676318a9797632 Mon Sep 17 00:00:00 2001 From: Zach Sherman <19153455+zssherman@users.noreply.github.com> Date: Fri, 11 Oct 2024 14:21:17 -0500 Subject: [PATCH 1/2] CI: Update tile image. 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zJPa3a-S_!lbrXax!P!6lk15=L?oUg*5AFc}>!$Sw`ER)Wk1x8|ssF0S{=KjL^ZY+H z?7Huu5Pk*%{)jgnMI$mpaY3L?iAI!%PyWAurM9?D|5IH$=k!ooc^PHtidUw={|Clq Bh5i5l diff --git a/tests/plotting/test_geodisplay.py b/tests/plotting/test_geodisplay.py index d767c2f576..7c15fae1ec 100644 --- a/tests/plotting/test_geodisplay.py +++ b/tests/plotting/test_geodisplay.py @@ -64,7 +64,7 @@ def test_geoplot_tile(): ], text={'Ponca City': [-97.0725, 36.7125]}, img_tile='GoogleTiles', - img_tile_args={'style': 'street'}, + img_tile_args={'style': 'terrain'}, ) try: return geodisplay.fig From 70a757c1b67f23597879e116bf9c10e344f9d926 Mon Sep 17 00:00:00 2001 From: Adam Theisen Date: Tue, 15 Oct 2024 13:45:54 -0500 Subject: [PATCH 2/2] =?UTF-8?q?ADD:=20New=20example=20showing=20how=20to?= =?UTF-8?q?=20use=20ACT=20to=20work=20with=20ARM=20and=20Satellit=E2=80=A6?= =?UTF-8?q?=20(#862)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * ADD: New example showing how to use ACT to work with ARM and Satellite data * ENH: Updating tests * ENH: Adding in averaging to the TSI data. * FIX: Update example for new parameter order. --------- Co-authored-by: zssherman --- act/plotting/xsectiondisplay.py | 46 +++++++++++++++------- examples/plotting/plot_satellite.py | 53 ++++++++++++++++++++++++++ examples/plotting/plot_xsection.py | 8 ++-- tests/plotting/test_xsectiondisplay.py | 7 +--- 4 files changed, 91 insertions(+), 23 deletions(-) create mode 100644 examples/plotting/plot_satellite.py diff --git a/act/plotting/xsectiondisplay.py b/act/plotting/xsectiondisplay.py index 0538e8d08d..cc320e28cd 100644 --- a/act/plotting/xsectiondisplay.py +++ b/act/plotting/xsectiondisplay.py @@ -146,13 +146,14 @@ def set_yrng(self, yrng, subplot_index=(0,)): def plot_xsection( self, - dsname, - varname, + field, + dsname=None, x=None, y=None, subplot_index=(0,), sel_kwargs=None, isel_kwargs=None, + set_title=None, **kwargs, ): """ @@ -162,11 +163,10 @@ def plot_xsection( Parameters ---------- - dsname : str or None - The name of the datastream to plot from. Set to None to have - ACT attempt to automatically detect this. - varname : str + field : str The name of the variable to plot. + dsname : str or None + The name of the datastream to plot from. x : str or None The name of the x coordinate variable. y : str or None @@ -181,6 +181,8 @@ def plot_xsection( to slice datasets, see the documentation on :func:`xarray.DataArray.sel`. isel_kwargs : dict The keyword arguments to pass into :py:func:`xarray.DataArray.sel` + set_title : str + Title for the plot **kwargs : keyword arguments Additional keyword arguments will be passed into :func:`xarray.DataArray.plot`. @@ -220,9 +222,9 @@ def plot_xsection( y_coord_dim = temp_ds[y].dims[0] coord_list[y] = y_coord_dim new_ds = data_utils.assign_coordinates(temp_ds, coord_list) - my_dataarray = new_ds[varname] + my_dataarray = new_ds[field] else: - my_dataarray = temp_ds[varname] + my_dataarray = temp_ds[field] coord_keys = [key for key in my_dataarray.coords.keys()] # X-array will sometimes shorten latitude and longitude variables @@ -255,28 +257,42 @@ def plot_xsection( self.set_xrng(xrng, subplot_index) yrng = self.axes[subplot_index].get_ylim() self.set_yrng(yrng, subplot_index) + + if set_title is None: + if 'long_name' in self._ds[dsname][field].attrs: + set_title = self._ds[dsname][field].attrs['long_name'] + plt.title(set_title) + del temp_ds return self.axes[subplot_index] def plot_xsection_map( - self, dsname, varname, subplot_index=(0,), coastlines=True, background=False, **kwargs + self, + field, + dsname=None, + subplot_index=(0,), + coastlines=True, + background=False, + set_title=None, + **kwargs, ): """ Plots a cross section of 2D data on a geographical map. Parameters ---------- - dsname : str or None - The name of the datastream to plot from. Set to None - to have ACT attempt to automatically detect this. - varname : str + field : str The name of the variable to plot. + dsname : str or None + The name of the datastream to plot from. subplot_index : tuple The index of the subplot to plot inside. coastlines : bool Set to True to plot the coastlines. background : bool Set to True to plot a stock image background. + set_title : str + Title for the plot **kwargs : keyword arguments Additional keyword arguments will be passed into :func:`act.plotting.XSectionDisplay.plot_xsection` @@ -292,7 +308,9 @@ def plot_xsection_map( 'Cartopy needs to be installed in order to plot ' + 'cross sections on maps!' ) self.set_subplot_to_map(subplot_index) - self.plot_xsection(dsname, varname, subplot_index=subplot_index, **kwargs) + self.plot_xsection( + field, dsname=dsname, subplot_index=subplot_index, set_title=set_title, **kwargs + ) xlims = self.xrng[subplot_index].flatten() ylims = self.yrng[subplot_index].flatten() self.axes[subplot_index].set_xticks(np.linspace(round(xlims[0], 0), round(xlims[1], 0), 10)) diff --git a/examples/plotting/plot_satellite.py b/examples/plotting/plot_satellite.py new file mode 100644 index 0000000000..c66c780212 --- /dev/null +++ b/examples/plotting/plot_satellite.py @@ -0,0 +1,53 @@ +""" +Using ACT for Satellite data +---------------------------- + +Simple example for working with satellite data. +It is recommended that users explore other +satellite specific libraries suchas SatPy. + +Author: Adam Theisen +""" + +import act +import matplotlib.pyplot as plt +import numpy as np +from arm_test_data import DATASETS + +# Read in VISST Data +files = DATASETS.fetch('enavisstgridm11minnisX1.c1.20230307.000000.cdf') +ds = act.io.read_arm_netcdf(files) + +# Plot up the VISST cloud percentage using XSectionDisplay +display = act.plotting.XSectionDisplay(ds, figsize=(10, 8)) +display.plot_xsection_map( + 'cloud_percentage', x='longitude', y='latitude', isel_kwargs={'time': 0, 'cld_type': 0} +) +plt.show() + +# Download ARM TSI Data +files = DATASETS.fetch('enatsiskycoverC1.b1.20230307.082100.cdf') +ds_tsi = act.io.read_arm_netcdf(files) +ds_tsi = ds_tsi.where(ds_tsi.percent_opaque > 0) +ds_tsi = ds_tsi.resample(time='30min').mean() + +# Set coordinates to extra data for ENA +ena_lat = 39.091600 +ena_lon = 28.025700 + +lat = ds['lat'].values +lon = ds['lon'].values + +# Find the nearest pixel for the satellite data and extract it +lat_ind = np.argmin(np.abs(lat - ena_lat)) +lon_ind = np.argmin(np.abs(lon - ena_lon)) + +ds_new = ds.isel(lat=lat_ind, lon=lon_ind, cld_type=0) + +# Plot the comparison using TimeSeriesDisplay +display = act.plotting.TimeSeriesDisplay({'Satellite': ds_new, 'ARM': ds_tsi}, figsize=(15, 8)) +display.plot('cloud_percentage', dsname='Satellite', label='VISST Cloud Percentage') +display.plot('percent_opaque', dsname='ARM', label='ARM TSI Percent Opaque') +display.day_night_background(dsname='ARM') +plt.legend() +plt.show() diff --git a/examples/plotting/plot_xsection.py b/examples/plotting/plot_xsection.py index 6aec1f42a6..c519a7497a 100644 --- a/examples/plotting/plot_xsection.py +++ b/examples/plotting/plot_xsection.py @@ -20,8 +20,8 @@ # Dimensions whose coordinates can be specified by variables in the file display = act.plotting.XSectionDisplay(my_ds, figsize=(20, 8), subplot_shape=(2, 2)) display.plot_xsection_map( - None, 'ir_temperature', + None, x='longitude', y='latitude', cmap='Greys', @@ -30,8 +30,8 @@ subplot_index=(0, 0), ) display.plot_xsection_map( - None, 'ir_temperature', + None, x='longitude', y='latitude', cmap='Greys', @@ -40,8 +40,8 @@ subplot_index=(1, 0), ) display.plot_xsection_map( - None, 'ir_temperature', + None, x='longitude', y='latitude', cmap='Greys', @@ -50,8 +50,8 @@ subplot_index=(0, 1), ) display.plot_xsection_map( - None, 'ir_temperature', + None, x='longitude', y='latitude', cmap='Greys', diff --git a/tests/plotting/test_xsectiondisplay.py b/tests/plotting/test_xsectiondisplay.py index 8dede9047a..1c45db5e68 100644 --- a/tests/plotting/test_xsectiondisplay.py +++ b/tests/plotting/test_xsectiondisplay.py @@ -28,7 +28,7 @@ def test_xsection_errors(): display = XSectionDisplay(ds, figsize=(10, 8), subplot_shape=(1,)) with np.testing.assert_raises(RuntimeError): - display.plot_xsection(None, 'backscatter', x='time', cmap='HomeyerRainbow') + display.plot_xsection('backscatter', x='time', cmap='HomeyerRainbow') ds.close() matplotlib.pyplot.close(fig=display.fig) @@ -39,9 +39,7 @@ def test_xsection_plot(): visst_ds = act.io.arm.read_arm_netcdf(sample_files.EXAMPLE_CEIL1) xsection = XSectionDisplay(visst_ds, figsize=(10, 8)) - xsection.plot_xsection( - None, 'backscatter', x='time', y='range', cmap='coolwarm', vmin=0, vmax=320 - ) + xsection.plot_xsection('backscatter', x='time', y='range', cmap='coolwarm', vmin=0, vmax=320) visst_ds.close() try: @@ -63,7 +61,6 @@ def test_xsection_plot_map(): ): xsection = XSectionDisplay(radar_ds, figsize=(15, 8)) xsection.plot_xsection_map( - None, 'ir_temperature', vmin=220, vmax=300,

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