Plots (metpy.plots)

Contains functionality for making meteorological plots.

Functions

read_colortable(fobj)	Read colortable information from a file.
wx_code_to_numeric(codes)	Determine the numeric weather symbol value from METAR code text.
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.

Classes

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

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