shots = (
('simple_plot', 'The most basic plot, with text labels', 1),
('subplot_demo',
"""Multiple regular axes are created with subplot. This is a screenshot of the
matplotlib figure window. Navigation controls on the bottom of the
figure let you pan and zoom the X and Y axis of any combination of
subplots together or separately""", 0),
('histogram_demo',
"""The hist command
automatically generates histograms and will return the bin counts
or probabilities""", 1),
('barchart_demo', """The bar
command takes error bars as an optional argument. You can also use up
and down bars, stacked bars, 'candlestick' bars, etc, ... See bar_stacked.py for another example.
""", 1),
('table_demo', """The table
is an interface to the Table class
to build tables on the axes.
""", 1),
('scatter_demo2', """The scatter command makes a
scatter plot with (optional) size and color arguments. This example
plots changes in Intel's stock price from one day to the next with the
sizes coding trading volume and the colors coding price change in day
i. Here the alpha attribute is used to make semitransparent circle
markers with the Agg backend """, 1),
('fill_demo', """The fill, command lets you
plot filled polygons. Thanks to Andrew Straw for providing this
function.""", 1),
('date_demo', """
You can plot date data with major and minor ticks and custom tick
formatters for both the major and minor ticks; see ticker and dates for details and usage. This plot
uses the finance module to
retrieve stock data and plot it with a candlestick plot""",
1),
('finance_work2', """ You can make much more sophisticated financial
plots. This example emulates one of the ChartDirector
financial plot. Some of the data in the plot, are real financial
data, some are random traces that I used since the goal was to
illustrate plotting techniques, not market analysis!""", 1),
('plotmap', """Jeff Whitaker provided this nice example showing how to
efficiently plot a collection of lines over a colormap image.
""", 1),
('log_shot', """The semilogx, semilogy and loglog commands generate log
scaling on the respective axes. Thanks to Andrew Straw for providing
the log scaling infrastructure.""", 1),
('legend_demo', """The legend command automatically
generates figure legends, with matltab compatible legend placement
commands. Thanks to Charles Twardy for input on the legend
command""", 1),
('mathtext_demo', """The mathtext module provides TeX style
mathematical expressions using freetype2 and the BaKoMa computer
modern fonts. See the mathtext
module for usage, licensing and backend information. Requires
matplotlib-0.51 or later.""", 1),
('pcolor_demo', """The pcolor command generates
pseudo color plots.""", 1),
('layer_images', """You can layer multiple images of different shapes and colormaps with
alpha blending using the imshow command.""", 1),
('mri_with_eeg', """A magnetic resonace image (MRI) displayed using pcolor, image intensity in the
MRI plotted with hist, and
some EEG channels plotted as lines """, 1),
('text_themes', """You can specify themes for your axis text by
making a font dictionary. Here the default font is courier
and the default color is red, but you can override the defaults, as in
the function label in the axes. See text for more information. This
example uses a python dictionary to control text themes, but you can
also use matlab handle graphics calls. See the examples file text_handles.py in the src
distribution for a handle graphics demo.""", 1),
('align_text', """You can precisely layout text in data or axes (0,1)
coordinates. This example shows you some of the alignment and
rotation specifications to layout text.""", 1),
('axes_demo',
"""Arbitrary placement of axes is possible with the axes command. Here, two inset axes are
placed over a subplot.""", 1),
('eeg', """ You can embed matplotlib into a pygtk, wxpython or Tk
applications. Here is a screenshot of an eeg viewer written in pygtk
using matplotlib; the lower axes is using specgram to plot the
spectrogram of one of the EEG channels. The code demo linked above is
a much simpler example of embedding matplotlib in pygtk. For an
example of how to use the navigation toolbar in your applications, see
embedding_in_gtk2.py. If
you want to use matplotlib in a wx application, see embedding_in_wx.py. If you want
to work with glade, see mpl_with_glade.py """, 0),
)
@header@
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