plots

Contains functionality for making meteorological plots.

Functions

add_metpy_logo(fig[, x, y, zorder, size])	Add the MetPy logo to a figure.
add_timestamp(ax[, time, x, y, ha, …])	Add a timestamp to a plot.
add_unidata_logo(fig[, x, y, zorder, size])	Add the Unidata logo to a figure.
convert_gempak_color(c[, style])	Convert GEMPAK color numbers into corresponding Matplotlib colors.
read_colortable(fobj)	Read colortable information from a file.
wx_code_to_numeric(codes)	Determine the numeric weather symbol value from METAR code text.

Classes

BarbPlot(**kwargs)	Make plots of wind barbs on a map with traits to refine the look of plotted elements.
ContourPlot(**kwargs)	Make contour plots by defining specific traits.
FilledContourPlot(**kwargs)	Make color-filled contours plots by defining appropriate traits.
Hodograph([ax, component_range])	Make a hodograph of wind data.
ImagePlot(**kwargs)	Make raster image using imshow for satellite or colored image.
MapPanel(**kwargs)	Set figure related elements for an individual panel.
PanelContainer(**kwargs)	Collects panels and set complete figure related settings (e.g., size).
PlotObs(**kwargs)	The highest level class related to plotting observed surface and upperair data.
PlotScalar(**kwargs)	Defines the common elements of 2D scalar plots for single scalar value fields.
PlotVector(**kwargs)	Defines common elements for 2D vector plots.
Plots2D(**kwargs)	The highest level class related to plotting 2D data.
SkewT([fig, rotation, subplot, rect, aspect])	Make Skew-T log-P plots of data.
StationPlot(ax, x, y[, fontsize, spacing, …])	Make a standard meteorological station plot.
StationPlotLayout	make a layout to encapsulate plotting using StationPlot.

resample_nn_1d add_metpy_logo