NCL_scatter_1.py

This script illustrates the following concepts:
  • Drawing a scatter plot

  • Changing the markers in an XY plot

  • Changing the marker color in an XY plot

  • Changing the marker size in an XY plot

  • Generating dummy data using “random.chisquared”

See following URLs to see the reproduced NCL plot & script:
import matplotlib.pyplot as plt

Import packages

import numpy as np
from geocat.viz import util as gvutil

Generate random data from a chi squared distribution with 2 dof

npts = 50
random = np.random.default_rng(seed=1)
data = random.chisquare(2.0, npts)

Plot

fig = plt.figure(figsize=(8, 8))
ax = plt.axes()

plt.plot(data, marker='o', linewidth=0, color='darkblue')

# Use geocat.viz.util convenience function to set axes parameters
gvutil.set_axes_limits_and_ticks(ax,
                                 xlim=(0, 50),
                                 ylim=(0, 10),
                                 xticks=range(0, 51, 10),
                                 yticks=range(0, 11, 2))

# Use geocat.viz.util convenience function to add minor and major tick lines
gvutil.add_major_minor_ticks(ax,
                             x_minor_per_major=5,
                             y_minor_per_major=4,
                             labelsize=14)

# Use geocat.viz.util convenience function to set titles and labels
gvutil.set_titles_and_labels(ax, maintitle="Scatter Plot")

plt.show()
Scatter Plot

Total running time of the script: ( 0 minutes 0.132 seconds)

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