Show README syntax highlighted
Here are some demos of how to use the matplotlib.
-- data_helper.py - a convenience module to load some data from the
data dir
-- embedding_in_gtk - The Figure class derives from gtk.DrawingArea,
so it is easy to embed in larger applications.
-- histograms_gauss.py - 2D histograms; requires the jdh.mlab module
-- simple_plot.py - the basic 2D line plot
-- subplot_demo.py - how to do multiple axes on a single plot
-- vline_demo.py - working with straight lines
-- stock_demo.py - working with large datasets. Click on the plot and
launch the navigation tool; wheel mouse over the navigation
buttons to scroll and zoom. There are 58 days of minute by
minute stock quotes for two tickers. The plot lib uses
Numeric's super speedy searchsorted routine to extract the
clipping indices so only the data in the viewport are handled.
See more files for this project here