pyCMBS gallery

In the following, examples will be given that introduce different features of pyCMBS.

Basic plotting

# -*- coding: utf-8 -*-

"""
This file is part of pyCMBS. (c) 2012-2014
For COPYING and LICENSE details, please refer to the file
COPYRIGHT.md
"""

"""
Basic plotting in pyCMBS
"""

from pycmbs.mapping import map_plot
import matplotlib.pyplot as plt
from pycmbs.examples import download

# Read some sample data ...
air = download.get_sample_file(name='air')
air.label = 'air temperature'

# a quick plot as well as a projection plot
f1 = map_plot(air)  # unprojected
f2 = map_plot(air, use_basemap=True)  # projected
plt.show()

(Source code)

(png, hires.png, pdf)

(png, hires.png, pdf)

For plotting you have a rich suite of keyword parameters. Please use the python help() system to get full documentation from docstrings. Some more illustrations of options are provided:

map_plot(air,show_timeseries=True, use_basemap=True,title='show_timeseries=True')
map_plot(air,show_zonal=True, use_basemap=True,title='show_zonal=True')
map_plot(air,show_histogram=True, use_basemap=True,title='show_histogram=True')

(Source code)

(png, hires.png, pdf)

(png, hires.png, pdf)

(png, hires.png, pdf)

And a few more details on customizing your map ...:

map_plot(air, use_basemap=True, title='vmin=-30.,vmax=30.,cmap_data=RdBu_r', vmin=-30., vmax=30., cmap_data='RdBu_r', ax=ax1)
map_plot(air, contours=True, use_basemap=True, levels=np.arange(-50.,50.,10.), title='contours=True', ax=ax2)
map_plot(air, show_stat=True, use_basemap=True,title='show_stat=True',ax=ax3)
map_plot(air, show_stat=True, stat_type='median', use_basemap=True, title='show_stat=True,stat_type="median"', ax=ax4)

(Source code, png, hires.png, pdf)

Basic data analysis

TBD

Working with different datasets

TBD