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(*args, **kwargs)

Make plots of wind barbs on a map with traits to refine the look of plotted elements.

ContourPlot(*args, **kwargs)

Make contour plots by defining specific traits.

FilledContourPlot(*args, **kwargs)

Make color-filled contours plots by defining appropriate traits.

Hodograph([ax, component_range])

Make a hodograph of wind data.

ImagePlot(*args, **kwargs)

Make raster image using imshow for satellite or colored image.

MapPanel(*args, **kwargs)

Set figure related elements for an individual panel.

PanelContainer(*args, **kwargs)

Collects panels and set complete figure related settings (e.g., size).

PlotObs(*args, **kwargs)

The highest level class related to plotting observed surface and upperair data.

PlotScalar(*args, **kwargs)

Defines the common elements of 2D scalar plots for single scalar value fields.

PlotVector(*args, **kwargs)

Defines common elements for 2D vector plots.

Plots2D(*args, **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.