This script illustrates the following concepts:
  • Adding text to a plot using plot data coordinates

  • Set the font size of text

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, lon=8)
lon = ds.U.isel(time=0, lon=8).lat


# Generate figure (set its size (width, height) in inches) and axes
plt.figure(figsize=(6.5, 6.5))
ax = plt.gca()

# Plot data
plt.plot(lon, uz.values, c='gray', linewidth=.9)

# Add text with set parameters
text_kwargs = dict(ha='center', va='center', fontsize=22.5, color='black')
plt.text(10, 0.0, 'Text in Plot Coordinates', **text_kwargs)

# 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'])

# Use geocat.viz.util convenience function to set titles and labels
gv.set_titles_and_labels(ax, ylabel='Zonal Wind', labelfontsize=18)

# Show the plot
NCL text add 1

Total running time of the script: (0 minutes 0.156 seconds)

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