This script illustrates the following concepts:
  • Drawing a legend inside an XY plot

  • Changing the width and height of a legend

  • Turning off the perimeter around a legend

  • Changing the font size of legend labels

  • Customizing the labels in a legend

See following URLs to see the reproduced NCL plot & script:

Import packages:

import numpy as np
import xarray as xr
import matplotlib.pyplot as plt

import geocat.datafiles as gdf
import geocat.viz as gv

Read in data:

# Open a netCDF data file using xarray default engine and load the data into xarrays
ds = xr.open_dataset(gdf.get("netcdf_files/"))
# Extract variables
uz = ds.U.isel(time=0).mean(dim=['lon'])
vz = ds.V.isel(time=0).mean(dim=['lon'])


# Generate figure (set its size (width, height) in inches) and axes
plt.figure(figsize=(5, 5))
ax = plt.gca()

# Plot data and add a legend
plt.plot(, vz.values, '--', dashes=[6.5, 3.7], c='gray', label='V')
plt.plot(, uz.values, c='gray', label='U')
plt.legend(loc='upper left', frameon=False, prop={'weight': 'bold'})

# Use geocat.viz.util convenience function to add minor and major tick lines

# Use geocat.viz.util convenience function to set axes parameters without calling several matplotlib functions
# Set axes limits, tick values, and tick labels to show latitude & longitude (i.e. North (N) - South (S))
    xlim=(-90, 90),
    ylim=(-10, 40),
    xticks=np.linspace(-90, 90, 7),
    xticklabels=['90S', '60S', '30S', '0', '30N', '60N', '90N'])

# Show the plot
NCL leg 1

Total running time of the script: (0 minutes 0.099 seconds)

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