pydda.vis.plot_horiz_xsection_quiver_map#

pydda.vis.plot_horiz_xsection_quiver_map(Grids, ax=None, background_field='reflectivity', level=1, cmap='ChaseSpectral', vmin=0, vmax=70, u_vel_contours=None, v_vel_contours=None, w_vel_contours=None, wind_vel_contours=None, u_field='u', v_field='v', w_field='w', show_lobes=True, title_flag=True, axes_labels_flag=True, colorbar_flag=True, colorbar_contour_flag=False, bg_grid_no=0, contour_alpha=0.7, coastlines=True, quiver_spacing_x_km=10.0, quiver_spacing_y_km=10.0, gridlines=True, quiverkey_len=5.0, quiverkey_loc='best', quiver_width=0.01)[source]#

This procedure plots a horizontal cross section of winds from wind fields generated by PyDDA using quivers onto a geographical map. The length of the quivers varies with wind speed.

Parameters:

  • Grids (list or DataTree) – List of Py-DDA Grids to visualize

  • ax (matplotlib axis handle (with cartopy ccrs)) – The axis handle to place the plot on. Set to None to create a new map. Note: the axis needs to be in a PlateCarree() projection. Support for other projections is planned in the future.

  • background_field (str) – The name of the background field to plot the quivers on.

  • level (int) – The number of the vertical level to plot the cross section through.

  • cmap (str or matplotlib colormap) – The name of the matplotlib colormap to use for the background field.

  • vmin (float) – The minimum bound to use for plotting the background field. None will automatically detect the background field minimum.

  • vmax (float) – The maximum bound to use for plotting the background field. None will automatically detect the background field maximum.

  • u_vel_contours (1-D array) – The contours to use for plotting contours of u. Set to None to not display such contours.

  • v_vel_contours (1-D array) – The contours to use for plotting contours of v. Set to None to not display such contours.

  • w_vel_contours (1-D array) – The contours to use for plotting contours of w. Set to None to not display such contours.

  • u_field (str) – Name of zonal wind (u) field in Grids.

  • v_field (str) – Name of meridional wind (v) field in Grids.

  • w_field (str) – Name of vertical wind (w) field in Grids.

  • show_lobes (bool) – If True, the dual doppler lobes from each pair of radars will be shown.

  • title_flag (bool) – If True, PyDDA will generate a title for the plot.

  • axes_labels_flag (bool) – If True, PyDDA will generate axes labels for the plot.

  • colorbar_flag (bool) – If True, PyDDA will generate a colorbar for the plot background field.

  • colorbar_contour_flag (bool) – If True, PyDDA will generate a colorbar for the contours.

  • bg_grid_no (int) – Number of grid in Grids to take background field from. Set to -1 to use maximum value from all grids.

  • contour_alpha (float) – Alpha (transparency) of velocity contours. 0 = transparent, 1 = opaque

  • coastlines (bool) – Set to true to display coastlines.

  • quiver_spacing_x_km (float) – Spacing in km between quivers in x axis.

  • quiver_spacing_y_km (float) – Spacing in km between quivers in y axis.

  • gridlines (bool) – Set to true to show grid lines.

  • quiverkey_len (float) – Length to use for the quiver key in m/s.

  • quiverkey_loc (str) – Location of quiverkey. One of:

    ‘best’

    ‘top_left’

    ‘top’

    ‘top_right’

    ‘bottom_left’

    ‘bottom’

    ‘bottom_right’

    ‘left’

    ‘right’

    ‘top_left_outside’

    ‘top_right_outside’

    ‘bottom_left_outside’

    ‘bottom_right_outside’

    ‘best’ will put the quiver key in the corner with the fewest amount of

    valid data points while keeping the quiver key inside the plot. The rest of the options will put the quiver key in that particular part of the plot.

  • quiver_width (float) – The width of the lines for the quiver given as a fraction relative to the plot width. Use this to specify the thickness of the quiver lines.

Returns:

ax (matplotlib axis) – Axis handle to output axis

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