NCL_unique_5.pyΒΆ

Concepts illustrated:
  • Drawing multiple bar charts on a page

  • Drawing three custom legends outside a bar chart

  • Using bar charts to draw standard deviations for four time series

  • Drawing a time series plot

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

Import packages:

import numpy as np
import random
import matplotlib.pyplot as plt

import geocat.viz as gv

Generate labels:

x = np.arange(1, 13)
labels = [
    'Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov',
    'Dec'
]

# Generate random data:
obs = []
ccsm2_t42 = []
ccsm3_t42 = []
ccsm3_t85 = []

for i in range(12):
    obs.append(random.uniform(0.4, 1.2))
    ccsm2_t42.append(random.uniform(0.4, 1.2))
    ccsm3_t42.append(random.uniform(0.4, 1.2))
    ccsm3_t85.append(random.uniform(0.4, 1.2))

Create the custom color list.

color_list = ['red', 'lightsteelblue', 'blue', 'lime']

Plot bar chart with a legend

# Axis Settings
plot_y_max = 1.2

# Generate figure
plt.figure(2, figsize=(6, 5))
ax = plt.gca()

# Set width of each column
w = 0.15

# Create subplots for each category
sub = plt.subplot(111)
sub.bar(x + w,
        obs,
        width=0.15,
        color=color_list[0],
        edgecolor='black',
        linewidth=0.25,
        align='center')
sub.bar((x + (2 * w)),
        ccsm2_t42,
        width=0.15,
        color=color_list[1],
        edgecolor='black',
        linewidth=0.25,
        align='center')
sub.bar(x + 3 * w,
        ccsm3_t42,
        width=0.15,
        color=color_list[2],
        edgecolor='black',
        linewidth=0.25,
        align='center')
sub.bar(x + 4 * w,
        ccsm3_t85,
        width=0.15,
        color=color_list[3],
        edgecolor='black',
        linewidth=0.25,
        align='center')

# Add the legend
plt.legend(['OBS', 'CCSM2 (T42)', 'CCSM3 (T42)', 'CCSM3 (T85)'],
           loc='lower center',
           bbox_to_anchor=(0.5, -0.30),
           ncol=2)

# Use geocat.viz.util convenience function to set axes limits & tick values without calling several matplotlib functions
gv.set_axes_limits_and_ticks(ax,
                             ylim=(0.4, plot_y_max),
                             xticks=x,
                             xticklabels=labels,
                             yticks=np.linspace(0.4, plot_y_max, 5))

# Use geocat.viz.util convenience function to add minor and major tick lines
gv.add_major_minor_ticks(ax,
                         x_minor_per_major=1,
                         y_minor_per_major=4,
                         labelsize=12)

# Use geocat.viz.util convenience function to set titles and labels
gv.set_titles_and_labels(ax,
                         maintitle='Nino3.4 Monthly Standard Deviation',
                         maintitlefontsize=16,
                         ylabel="(" + u'\N{DEGREE SIGN}' + "C)")

# Show the plot
plt.tight_layout()
plt.show()
Nino3.4 Monthly Standard Deviation

Total running time of the script: ( 0 minutes 0.191 seconds)

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