.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "examples/plotting/plot_cross_section.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr_examples_plotting_plot_cross_section.py: ================================= Plot a Cross Section from a Grid ================================= This is an example of how to plot a cross section of your radar grid using the GridMapDisplay .. GENERATED FROM PYTHON SOURCE LINES 10-78 .. image-sg:: /examples/plotting/images/sphx_glr_plot_cross_section_001.png :alt: xsapr-sg 0.5 km 2011-05-20T06:41:22Z Equivalent reflectivity factor, (36.7°N, 97.7°W) to (36.2°N, 97.8°W) 2011-05-20T06:41:22Z Equivalent reflectivity factor :srcset: /examples/plotting/images/sphx_glr_plot_cross_section_001.png :class: sphx-glr-single-img .. code-block:: Python print(__doc__) # Author: Max Grover (mgrover@anl.gov) # License: BSD 3 clause import cartopy.crs as ccrs import matplotlib.pyplot as plt import pyart from pyart.testing import get_test_data # Read in the data from two XSAPR radars xsapr_sw_file = get_test_data("swx_20120520_0641.nc") xsapr_se_file = get_test_data("sex_20120520_0641.nc") radar_sw = pyart.io.read_cfradial(xsapr_sw_file) radar_se = pyart.io.read_cfradial(xsapr_se_file) # Filter out gates with reflectivity > 100 from both radars gatefilter_se = pyart.filters.GateFilter(radar_se) gatefilter_se.exclude_transition() gatefilter_se.exclude_above("corrected_reflectivity_horizontal", 100) gatefilter_sw = pyart.filters.GateFilter(radar_sw) gatefilter_sw.exclude_transition() gatefilter_sw.exclude_above("corrected_reflectivity_horizontal", 100) # perform Cartesian mapping, limit to the reflectivity field. grid = pyart.map.grid_from_radars( (radar_se, radar_sw), gatefilters=(gatefilter_se, gatefilter_sw), grid_shape=(20, 181, 181), grid_limits=((500, 10000), (-50000, 40000), (-60000, 40000)), grid_origin=(36.57861, -97.363611), fields=["corrected_reflectivity_horizontal"], ) # Define some start and end points, using (latitude, longitude) start = (36.7, -97.7) end = (36.2, -97.8) # Setup the figure, and plot our x/y view of the radar fig = plt.figure(figsize=(18, 6)) ax1 = plt.subplot(121, projection=ccrs.PlateCarree()) display = pyart.graph.GridMapDisplay(grid) display.plot_grid( "corrected_reflectivity_horizontal", ax=ax1, cmap="pyart_HomeyerRainbow", vmin=-20, vmax=70, ) # Plot our start and end points, as well as a line in between the two ax1.scatter(start[1], start[0], color="tab:blue", label="Start") ax1.scatter(end[1], end[0], color="black", label="End") ax1.plot([start[1], end[1]], [start[0], end[0]], color="k", linestyle=":") plt.legend(loc="upper right") # Add a cross section, using our start and end points, and set our x-axis as latitude (lat) ax2 = plt.subplot(122) display.plot_cross_section( "corrected_reflectivity_horizontal", start, end, x_axis="lat", cmap="pyart_HomeyerRainbow", vmin=-20, vmax=70, ) .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 9.372 seconds) .. _sphx_glr_download_examples_plotting_plot_cross_section.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_cross_section.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_cross_section.py ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_