Hodograph

class metpy.plots.Hodograph(ax=None, component_range=80)[source]

Make a hodograph of wind data.

Plots the u and v components of the wind along the x and y axes, respectively.

This class simplifies the process of creating a hodograph using matplotlib. It provides helpers for creating a circular grid and for plotting the wind as a line colored by another value (such as wind speed).

ax

matplotlib.axes.Axes – The underlying Axes instance used for all plotting

Create a Hodograph instance.

Parameters:
  • ax (matplotlib.axes.Axes, optional) – The Axes instance used for plotting
  • component_range (value) – The maximum range of the plot. Used to set plot bounds and control the maximum number of grid rings needed.

Methods Summary

__init__([ax, component_range]) Create a Hodograph instance.
add_grid([increment]) Add grid lines to hodograph.
plot(u, v, **kwargs) Plot u, v data.
plot_colormapped(u, v, c, **kwargs) Plot u, v data, with line colored based on a third set of data.

Methods Documentation

__init__(ax=None, component_range=80)[source]

Create a Hodograph instance.

Parameters:
  • ax (matplotlib.axes.Axes, optional) – The Axes instance used for plotting
  • component_range (value) – The maximum range of the plot. Used to set plot bounds and control the maximum number of grid rings needed.
add_grid(increment=10.0, **kwargs)[source]

Add grid lines to hodograph.

Creates lines for the x- and y-axes, as well as circles denoting wind speed values.

Parameters:
  • increment (value, optional) – The value increment between rings
  • kwargs – Other kwargs to control appearance of lines

See also

matplotlib.patches.Circle, matplotlib.axes.Axes.axhline(), matplotlib.axes.Axes.axvline()

plot(u, v, **kwargs)[source]

Plot u, v data.

Plots the wind data on the hodograph.

Parameters:
  • u (array_like) – u-component of wind
  • v (array_like) – v-component of wind
  • kwargs – Other keyword arguments to pass to matplotlib.axes.Axes.plot()
Returns:

list[matplotlib.lines.Line2D] – lines plotted

See also

Hodograph.plot_colormapped()

plot_colormapped(u, v, c, **kwargs)[source]

Plot u, v data, with line colored based on a third set of data.

Plots the wind data on the hodograph, but with a colormapped line.

Simple wrapper around plot so that pressure is the first (independent) input. This is essentially a wrapper around semilogy. It also sets some appropriate ticking and plot ranges.

Parameters:
  • u (array_like) – u-component of wind
  • v (array_like) – v-component of wind
  • c (array_like) – data to use for colormapping
  • kwargs – Other keyword arguments to pass to matplotlib.collections.LineCollection
Returns:

matplotlib.collections.LineCollection – instance created

See also

Hodograph.plot()