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 support a variety of pan and zoom modes.""", 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.
You can make horizontal bar charts with the barh command.
""", 1),
('pie_demo', """The pie command
uses a matlab(TM) compatible syntax to produce py charts. Optional
features include auto-labeling the percentage of area, "exploding" one
or more wedges out from the center of the pie, and a shadow effect.
""", 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),
('slider_demo', """Matplotlib has basic GUI widgets that are independent of the graphical
user interface you are using, allowing you to write cross GUI figures
and widgets. See widgets
classdocs and examples/widgets/*.py""", 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.""",
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 example showing how to
efficiently plot a collection of lines over a colormap image using the
basemap
matplotlib toolkit (available from the download page). Many map projections are handled via the proj4
library: cylindrical equidistant, mercator, lambert
conformal conic, lambert azimuthal equal area, albers equal area conic
and stereographic. """, 1),
('log_shot', """The semilogx, semilogy and loglog commands generate log
scaling on the respective axes. The lower subplot uses a base10 log
on the xaxis and a base 4 log on the y. Thanks to Andrew Straw,
Darren Dale and Gregory Lielens for contributions to the log scaling
infrastructure.""", 1),
('polar_demo', """The polar
command generates polar plots.""", 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. matplotlib
mathtext is an independent implementation, and does not required TeX
or any external packages installed on your computer.""", 1),
('tex_demo', """
In addition to having it's own mathematical typesetting engine shown
in the mathtext_demo above, you can also use TeX itself, and embed TeX
output directly in a *Agg or PS matplotlib backend.
""", 1),
('pcolor_demo', """The pcolor command generates
pseudo color plots. matplotlib has 14 built-in colormaps. The hot colormap is shown here with
contours overaying a grayscale image.""", 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_wx2.py. If you want
to work with glade, see mpl_with_glade.py """, 0),
)
@header@
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