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<font color="#ffffff" face="helvetica, arial"> <br><big><big><strong>matplotlib</strong></big></big> (version 0.82, $Date: 2005/06/15 18:27:37 $)</font></td
><td align=right valign=bottom
><font color="#ffffff" face="helvetica, arial"><a href=".">index</a><br><a href="file:/usr/lib/python2.4/site-packages/matplotlib/__init__.py">/usr/lib/python2.4/site-packages/matplotlib/__init__.py</a></font></td></tr></table>
<p><tt>This is a matlab(TM) style functional interface the matplotlib.<br>
<br>
The following matlab(TM) compatible commands are provided by<br>
<br>
>>> from pylab import *<br>
<br>
Plotting commands<br>
<br>
axes - Create a new axes<br>
axhline - draw a horizontal line across axes<br>
axvline - draw a vertical line across axes<br>
axhspan - draw a horizontal bar across axes<br>
axvspan - draw a vertical bar across axes <br>
axis - Set or return the current axis limits<br>
bar - make a bar chart<br>
barh - a horizontal bar chart <br>
boxplot - make a box and whisker plot<br>
cla - clear current axes<br>
clf - clear a figure window<br>
close - close a figure window<br>
colorbar - add a colorbar to the current figure<br>
cohere - make a plot of coherence<br>
contour - make a contour plot<br>
csd - make a plot of cross spectral density <br>
draw - Force a redraw of the current figure<br>
errorbar - make an errorbar graph<br>
figlegend - make legend on the figure rather than the axes<br>
figimage - make a figure image<br>
figtext - add text in figure coords<br>
figure - create or change active figure<br>
fill - make filled polygons<br>
gca - return the current axes<br>
gcf - return the current figure<br>
gci - get the current image, or None<br>
get - get a handle graphics property<br>
gray - set the current colormap to gray<br>
jet - set the current colormap to jet<br>
hist - make a histogram<br>
hold - set the axes hold state<br>
legend - make an axes legend<br>
loglog - a log log plot<br>
imread - load image file into array<br>
imshow - plot image data<br>
pcolor - make a pseudocolor plot<br>
plot - make a line plot<br>
psd - make a plot of power spectral density<br>
rc - control the default params<br>
savefig - save the current figure<br>
scatter - make a scatter plot<br>
set - set a handle graphics property<br>
semilogx - log x axis<br>
semilogy - log y axis<br>
show - show the figures<br>
specgram - a spectrogram plot<br>
stem - make a stem plot<br>
subplot - make a subplot (numrows, numcols, axesnum)<br>
table - add a table to the plot<br>
text - add some text at location x,y to the current axes<br>
title - add a title to the current axes<br>
xlim - set/get the xlimits<br>
ylim - set/get the ylimits<br>
xticks - set/get the xticks<br>
yticks - set/get the yticks<br>
xlabel - add an xlabel to the current axes<br>
ylabel - add a ylabel to the current axes<br>
<br>
Matrix commands<br>
<br>
cumprod - the cumulative product along a dimension<br>
cumsum - the cumulative sum along a dimension<br>
detrend - remove the mean or besdt fit line from an array<br>
diag - the k-th diagonal of matrix <br>
diff - the n-th differnce of an array<br>
eig - the eigenvalues and eigen vectors of v<br>
eye - a matrix where the k-th diagonal is ones, else zero <br>
find - return the indices where a condition is nonzero <br>
fliplr - flip the rows of a matrix up/down<br>
flipud - flip the columns of a matrix left/right<br>
linspace - a linear spaced vector of N values from min to max inclusive<br>
ones - an array of ones<br>
rand - an array from the uniform distribution [0,1]<br>
randn - an array from the normal distribution<br>
rot90 - rotate matrix k*90 degress counterclockwise<br>
squeeze - squeeze an array removing any dimensions of length 1<br>
tri - a triangular matrix<br>
tril - a lower triangular matrix<br>
triu - an upper triangular matrix<br>
vander - the Vandermonde matrix of vector x<br>
svd - singular value decomposition<br>
zeros - a matrix of zeros<br>
<br>
Probability<br>
<br>
levypdf - The levy probability density function from the char. func.<br>
normpdf - The Gaussian probability density function<br>
rand - random numbers from the uniform distribution<br>
randn - random numbers from the normal distribution<br>
<br>
Statistics<br>
<br>
corrcoef - correlation coefficient<br>
cov - covariance matrix<br>
max - the maximum along dimension m<br>
mean - the mean along dimension m<br>
median - the median along dimension m<br>
min - the minimum along dimension m<br>
norm - the norm of vector x<br>
prod - the product along dimension m<br>
ptp - the max-min along dimension m<br>
std - the standard deviation along dimension m<br>
sum - the sum along dimension m<br>
<br>
Time series analysis<br>
<br>
bartlett - M-point Bartlett window<br>
blackman - M-point Blackman window<br>
cohere - the coherence using average periodiogram<br>
csd - the cross spectral density using average periodiogram<br>
fft - the fast Fourier transform of vector x<br>
hamming - M-point Hamming window<br>
hanning - M-point Hanning window<br>
hist - compute the histogram of x<br>
kaiser - M length Kaiser window<br>
psd - the power spectral density using average periodiogram<br>
sinc - the sinc function of array x<br>
<br>
Other<br>
<br>
angle - the angle of a complex array<br>
polyfit - fit x, y to an n-th order polynomial<br>
polyval - evaluate an n-th order polynomial<br>
roots - the roots of the polynomial coefficients in p<br>
trapz - trapezoidal integration<br>
<br>
<br>
Credits: The plotting commands were provided by<br>
John D. Hunter <jdhunter@ace.bsd.uhicago.edu><br>
<br>
Most of the other commands are from the Numeric, MLab and FFT, with<br>
the exception of those in mlab.py provided by matplotlib.</tt></p>
<p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#aa55cc">
<td colspan=3 valign=bottom> <br>
<font color="#ffffff" face="helvetica, arial"><big><strong>Package Contents</strong></big></font></td></tr>
<tr><td bgcolor="#aa55cc"><tt> </tt></td><td> </td>
<td width="100%"><table width="100%" summary="list"><tr><td width="25%" valign=top><a href="matplotlib._agg.html">_agg</a><br>
<a href="matplotlib._contour.html">_contour</a><br>
<a href="matplotlib._image.html">_image</a><br>
<a href="matplotlib._mathtext_data.html">_mathtext_data</a><br>
<a href="matplotlib._na_backend_gdk.html">_na_backend_gdk</a><br>
<a href="matplotlib._na_cntr.html">_na_cntr</a><br>
<a href="matplotlib._na_image.html">_na_image</a><br>
<a href="matplotlib._na_transforms.html">_na_transforms</a><br>
<a href="matplotlib._nc_backend_gdk.html">_nc_backend_gdk</a><br>
<a href="matplotlib._nc_cntr.html">_nc_cntr</a><br>
<a href="matplotlib._nc_image.html">_nc_image</a><br>
<a href="matplotlib._nc_transforms.html">_nc_transforms</a><br>
</td><td width="25%" valign=top><a href="matplotlib._pylab_helpers.html">_pylab_helpers</a><br>
<a href="matplotlib._transforms.html">_transforms</a><br>
<a href="matplotlib.afm.html">afm</a><br>
<a href="matplotlib.agg.html">agg</a><br>
<a href="matplotlib.artist.html">artist</a><br>
<a href="matplotlib.axes.html">axes</a><br>
<a href="matplotlib.axis.html">axis</a><br>
<a href="matplotlib.backend_bases.html">backend_bases</a><br>
<a href="matplotlib.backends.html"><strong>backends</strong> (package)</a><br>
<a href="matplotlib.cbook.html">cbook</a><br>
<a href="matplotlib.cm.html">cm</a><br>
<a href="matplotlib.collections.html">collections</a><br>
</td><td width="25%" valign=top><a href="matplotlib.colors.html">colors</a><br>
<a href="matplotlib.contour.html">contour</a><br>
<a href="matplotlib.dates.html">dates</a><br>
<a href="matplotlib.enthought.html"><strong>enthought</strong> (package)</a><br>
<a href="matplotlib.figure.html">figure</a><br>
<a href="matplotlib.finance.html">finance</a><br>
<a href="matplotlib.font_manager.html">font_manager</a><br>
<a href="matplotlib.ft2font.html">ft2font</a><br>
<a href="matplotlib.image.html">image</a><br>
<a href="matplotlib.legend.html">legend</a><br>
<a href="matplotlib.lines.html">lines</a><br>
<a href="matplotlib.mathtext.html">mathtext</a><br>
</td><td width="25%" valign=top><a href="matplotlib.mlab.html">mlab</a><br>
<a href="matplotlib.numerix.html"><strong>numerix</strong> (package)</a><br>
<a href="matplotlib.patches.html">patches</a><br>
<a href="matplotlib.pylab.html">pylab</a><br>
<a href="matplotlib.pyparsing.html">pyparsing</a><br>
<a href="matplotlib.table.html">table</a><br>
<a href="matplotlib.texmanager.html">texmanager</a><br>
<a href="matplotlib.text.html">text</a><br>
<a href="matplotlib.ticker.html">ticker</a><br>
<a href="matplotlib.transforms.html">transforms</a><br>
<a href="matplotlib.widgets.html">widgets</a><br>
<a href="matplotlib.windowing.html">windowing</a><br>
</td></tr></table></td></tr></table><p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#ee77aa">
<td colspan=3 valign=bottom> <br>
<font color="#ffffff" face="helvetica, arial"><big><strong>Classes</strong></big></font></td></tr>
<tr><td bgcolor="#ee77aa"><tt> </tt></td><td> </td>
<td width="100%"><dl>
<dt><font face="helvetica, arial"><a href="exceptions.html#Exception">exceptions.Exception</a>
</font></dt><dd>
<dl>
<dt><font face="helvetica, arial"><a href="matplotlib.html#MPLError">MPLError</a>
</font></dt></dl>
</dd>
<dt><font face="helvetica, arial"><a href="matplotlib.html#ValidateInStrings">ValidateInStrings</a>
</font></dt><dt><font face="helvetica, arial"><a href="matplotlib.html#ValidateInterval">ValidateInterval</a>
</font></dt><dt><font face="helvetica, arial"><a href="matplotlib.html#Verbose">Verbose</a>
</font></dt><dt><font face="helvetica, arial"><a href="matplotlib.html#validate_nseq_float">validate_nseq_float</a>
</font></dt></dl>
<p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#ffc8d8">
<td colspan=3 valign=bottom> <br>
<font color="#000000" face="helvetica, arial"><a name="MPLError">class <strong>MPLError</strong></a>(<a href="exceptions.html#Exception">exceptions.Exception</a>)</font></td></tr>
<tr bgcolor="#ffc8d8"><td rowspan=2><tt> </tt></td>
<td colspan=2><tt><a href="exceptions.html#Exception">Exception</a> for Matplotlib errors<br>
Attributes:<br>
message -- explanation of the error<br> </tt></td></tr>
<tr><td> </td>
<td width="100%">Methods defined here:<br>
<dl><dt><a name="MPLError-__init__"><strong>__init__</strong></a>(self, message)</dt></dl>
<dl><dt><a name="MPLError-__str__"><strong>__str__</strong></a>(self)</dt></dl>
<hr>
Methods inherited from <a href="exceptions.html#Exception">exceptions.Exception</a>:<br>
<dl><dt><a name="MPLError-__getitem__"><strong>__getitem__</strong></a>(...)</dt></dl>
</td></tr></table> <p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#ffc8d8">
<td colspan=3 valign=bottom> <br>
<font color="#000000" face="helvetica, arial"><a name="ValidateInStrings">class <strong>ValidateInStrings</strong></a></font></td></tr>
<tr><td bgcolor="#ffc8d8"><tt> </tt></td><td> </td>
<td width="100%">Methods defined here:<br>
<dl><dt><a name="ValidateInStrings-__call__"><strong>__call__</strong></a>(self, s)</dt></dl>
<dl><dt><a name="ValidateInStrings-__init__"><strong>__init__</strong></a>(self, valid, ignorecase<font color="#909090">=False</font>)</dt><dd><tt>valid is a list of legal strings</tt></dd></dl>
</td></tr></table> <p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#ffc8d8">
<td colspan=3 valign=bottom> <br>
<font color="#000000" face="helvetica, arial"><a name="ValidateInterval">class <strong>ValidateInterval</strong></a></font></td></tr>
<tr bgcolor="#ffc8d8"><td rowspan=2><tt> </tt></td>
<td colspan=2><tt>Value must be in interval<br> </tt></td></tr>
<tr><td> </td>
<td width="100%">Methods defined here:<br>
<dl><dt><a name="ValidateInterval-__call__"><strong>__call__</strong></a>(self, s)</dt></dl>
<dl><dt><a name="ValidateInterval-__init__"><strong>__init__</strong></a>(self, vmin, vmax, closedmin<font color="#909090">=True</font>, closedmax<font color="#909090">=True</font>)</dt></dl>
</td></tr></table> <p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#ffc8d8">
<td colspan=3 valign=bottom> <br>
<font color="#000000" face="helvetica, arial"><a name="Verbose">class <strong>Verbose</strong></a></font></td></tr>
<tr bgcolor="#ffc8d8"><td rowspan=2><tt> </tt></td>
<td colspan=2><tt>A class to handle reporting. Set the fileo attribute to any file<br>
instance to handle the output. Default is sys.stdout<br> </tt></td></tr>
<tr><td> </td>
<td width="100%">Methods defined here:<br>
<dl><dt><a name="Verbose-__init__"><strong>__init__</strong></a>(self, level)</dt></dl>
<dl><dt><a name="Verbose-ge"><strong>ge</strong></a>(self, level)</dt><dd><tt>return true if self.<strong>level</strong> is >= level</tt></dd></dl>
<dl><dt><a name="Verbose-report"><strong>report</strong></a>(self, s, level<font color="#909090">='helpful'</font>)</dt><dd><tt>print message s to self.<strong>fileo</strong> if self.<strong>level</strong>>=level. Return<br>
value indicates whether a message was issued</tt></dd></dl>
<dl><dt><a name="Verbose-set_level"><strong>set_level</strong></a>(self, level)</dt><dd><tt>set the verbosity to one of the <a href="#Verbose">Verbose</a>.levels strings</tt></dd></dl>
<dl><dt><a name="Verbose-wrap"><strong>wrap</strong></a>(self, fmt, func, level<font color="#909090">='helpful'</font>, always<font color="#909090">=True</font>)</dt><dd><tt>return a callable function that wraps func and reports it<br>
output through the verbose handler if current verbosity level<br>
is higher than level<br>
<br>
if always is True, the report will occur on every function<br>
call; otherwise only on the first time the function is called</tt></dd></dl>
<hr>
Data and other attributes defined here:<br>
<dl><dt><strong>arg</strong> = './'</dl>
<dl><dt><strong>i</strong> = 3</dl>
<dl><dt><strong>level</strong> = 'debug-annoying'</dl>
<dl><dt><strong>levels</strong> = ('silent', 'helpful', 'debug', 'debug-annoying')</dl>
<dl><dt><strong>vald</strong> = {'debug': 2, 'debug-annoying': 3, 'helpful': 1, 'silent': 0}</dl>
</td></tr></table> <p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#ffc8d8">
<td colspan=3 valign=bottom> <br>
<font color="#000000" face="helvetica, arial"><a name="validate_nseq_float">class <strong>validate_nseq_float</strong></a></font></td></tr>
<tr><td bgcolor="#ffc8d8"><tt> </tt></td><td> </td>
<td width="100%">Methods defined here:<br>
<dl><dt><a name="validate_nseq_float-__call__"><strong>__call__</strong></a>(self, s)</dt><dd><tt>return a seq of n floats or raise</tt></dd></dl>
<dl><dt><a name="validate_nseq_float-__init__"><strong>__init__</strong></a>(self, n)</dt></dl>
</td></tr></table></td></tr></table><p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#eeaa77">
<td colspan=3 valign=bottom> <br>
<font color="#ffffff" face="helvetica, arial"><big><strong>Functions</strong></big></font></td></tr>
<tr><td bgcolor="#eeaa77"><tt> </tt></td><td> </td>
<td width="100%"><dl><dt><a name="-get_backend"><strong>get_backend</strong></a>()</dt></dl>
<dl><dt><a name="-get_data_path"><strong>get_data_path</strong></a> = wrapper(*args, **kwargs)</dt><dd><tt>get the path to matplotlib data</tt></dd></dl>
<dl><dt><a name="-get_home"><strong>get_home</strong></a>()</dt><dd><tt>return the users HOME dir across platforms or None.<br>
<br>
On win32, if either HOME is not set or HOME is set but doesn't<br>
exist, the value of USERPROFILE will be used instead.</tt></dd></dl>
<dl><dt><a name="-interactive"><strong>interactive</strong></a>(b)</dt><dd><tt>Set interactive mode to boolean b.<br>
<br>
If b is True, then draw after every plotting command, eg, after xlabel</tt></dd></dl>
<dl><dt><a name="-is_interactive"><strong>is_interactive</strong></a>()</dt><dd><tt>Return true if plot mode is interactive</tt></dd></dl>
<dl><dt><a name="-matplotlib_fname"><strong>matplotlib_fname</strong></a>()</dt><dd><tt>Return the path to the rc file<br>
<br>
Search order:<br>
<br>
* current working dir<br>
* environ var MATPLOTLIBRC<br>
* HOME/.matplotlibrc<br>
* /etc/matplotlibrc</tt></dd></dl>
<dl><dt><a name="-rc"><strong>rc</strong></a>(group, **kwargs)</dt><dd><tt>Set the current rc params. Group is the grouping for the rc, eg<br>
for lines.linewidth the group is 'lines', for axes.facecolor, the<br>
group is 'axes', and so on. kwargs is a list of attribute<br>
name/value pairs, eg<br>
<br>
<a href="#-rc">rc</a>('lines', linewidth=2, color='r')<br>
<br>
sets the current rc params and is equivalent to<br>
<br>
rcParams['lines.linewidth'] = 2<br>
rcParams['lines.color'] = 'r'<br>
<br>
The following aliases are available to save typing for interactive<br>
users<br>
'lw' : 'linewidth'<br>
'ls' : 'linestyle' <br>
'c' : 'color'<br>
'fc' : 'facecolor'<br>
'ec' : 'edgecolor'<br>
'mfc' : 'markerfacecolor'<br>
'mec' : 'markeredgecolor'<br>
'mew' : 'markeredgewidth'<br>
'aa' : 'antialiased' <br>
<br>
Thus you could abbreviate the above rc command as<br>
<br>
<a href="#-rc">rc</a>('lines', lw=2, c='r')<br>
<br>
<br>
Note you can use python's kwargs dictionary facility to store<br>
dictionaries of default parameters. Eg, you can customize the<br>
font rc as follows<br>
<br>
font = {'family' : 'monospace',<br>
'weight' : 'bold',<br>
'size' : 'larger',<br>
}<br>
<br>
<a href="#-rc">rc</a>('font', **font) # pass in the font dict as kwargs<br>
<br>
This enables you to easily switch between several configurations.<br>
Use rcdefaults to restore the default rc params after changes.</tt></dd></dl>
<dl><dt><a name="-rc_params"><strong>rc_params</strong></a>()</dt><dd><tt>Return the default params updated from the values in the rc file</tt></dd></dl>
<dl><dt><a name="-rcdefaults"><strong>rcdefaults</strong></a>()</dt><dd><tt>Restore the default rc params - the ones that were created at<br>
matplotlib load time</tt></dd></dl>
<dl><dt><a name="-tk_window_focus"><strong>tk_window_focus</strong></a>()</dt><dd><tt>Return true if focus maintenance under TkAgg on win32 is on.<br>
This currently works only for python.exe and IPython.exe.<br>
Both IDLE and Pythonwin.exe fail badly when tk_window_focus is on.</tt></dd></dl>
<dl><dt><a name="-use"><strong>use</strong></a>(arg)</dt><dd><tt>Set the matplotlib backend to one of the _knownBackends</tt></dd></dl>
<dl><dt><a name="-validate_bool"><strong>validate_bool</strong></a>(b)</dt><dd><tt>Convert b to a boolean or raise</tt></dd></dl>
<dl><dt><a name="-validate_color"><strong>validate_color</strong></a>(s)</dt><dd><tt>return a valid color arg</tt></dd></dl>
<dl><dt><a name="-validate_comma_sep_str"><strong>validate_comma_sep_str</strong></a>(s)</dt><dd><tt>return a list</tt></dd></dl>
<dl><dt><a name="-validate_float"><strong>validate_float</strong></a>(s)</dt><dd><tt>convert s to float or raise</tt></dd></dl>
<dl><dt><a name="-validate_fontsize"><strong>validate_fontsize</strong></a>(s)</dt></dl>
<dl><dt><a name="-validate_int"><strong>validate_int</strong></a>(s)</dt><dd><tt>convert s to float or raise</tt></dd></dl>
<dl><dt><a name="-validate_numerix"><strong>validate_numerix</strong></a>(s)</dt><dd><tt>return "Numeric" or "Numarray" or raise</tt></dd></dl>
<dl><dt><a name="-validate_path_exists"><strong>validate_path_exists</strong></a>(s)</dt><dd><tt>If s is a path, return s, else False</tt></dd></dl>
<dl><dt><a name="-validate_toolbar"><strong>validate_toolbar</strong></a>(s)</dt><dd><tt>return toolbar string 'None', 'classic', 'toolbar2'</tt></dd></dl>
<dl><dt><a name="-validate_verbose"><strong>validate_verbose</strong></a>(s)</dt></dl>
<dl><dt><a name="-validate_verbose_fileo"><strong>validate_verbose_fileo</strong></a>(s)</dt></dl>
</td></tr></table><p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#55aa55">
<td colspan=3 valign=bottom> <br>
<font color="#ffffff" face="helvetica, arial"><big><strong>Data</strong></big></font></td></tr>
<tr><td bgcolor="#55aa55"><tt> </tt></td><td> </td>
<td width="100%"><strong>FROZEN</strong> = False<br>
<strong>__date__</strong> = '$Date: 2005/06/15 18:27:37 $'<br>
<strong>__revision__</strong> = '$Revision: 1.65 $'<br>
<strong>__version__</strong> = '0.82'<br>
<strong>defaultParams</strong> = {'axes.edgecolor': ['black', <function validate_color>], 'axes.facecolor': ['white', <function validate_color>], 'axes.grid': [False, <function validate_bool>], 'axes.hold': [True, <function validate_bool>], 'axes.labelcolor': ['black', <function validate_color>], 'axes.labelsize': [12.0, <function validate_fontsize>], 'axes.linewidth': [1.0, <function validate_float>], 'axes.titlesize': [14.0, <function validate_fontsize>], 'backend': ['GTKAgg', <type 'str'>], 'datapath': ['/usr/share/matplotlib', <function validate_path_exists>], ...}<br>
<strong>generators</strong> = _Feature((2, 2, 0, 'alpha', 1), (2, 3, 0, 'final', 0), 4096)<br>
<strong>known</strong> = ['PS', 'FltkAgg', 'GTKAgg', 'SVG', 'LaTeX', 'Agg', 'Cairo', 'QtAgg', 'GTK', 'GTKCairo', 'WXAgg', 'Paint', 'GD', 'Template', 'Agg2', 'GDK', 'TkAgg', 'WX']<br>
<strong>major</strong> = 2<br>
<strong>minor1</strong> = 4<br>
<strong>minor2</strong> = 4<br>
<strong>rcParams</strong> = {'axes.edgecolor': 'black', 'axes.facecolor': 'white', 'axes.grid': False, 'axes.hold': True, 'axes.labelcolor': 'black', 'axes.labelsize': 12.0, 'axes.linewidth': 1.0, 'axes.titlesize': 14.0, 'backend': 'GTKAgg', 'datapath': '/usr/share/matplotlib', ...}<br>
<strong>rcParamsDefault</strong> = {'axes.edgecolor': 'black', 'axes.facecolor': 'white', 'axes.grid': False, 'axes.hold': True, 'axes.labelcolor': 'black', 'axes.labelsize': 12.0, 'axes.linewidth': 1.0, 'axes.titlesize': 14.0, 'backend': 'GTKAgg', 'datapath': '/usr/share/matplotlib', ...}<br>
<strong>s</strong> = './'<br>
<strong>tmp</strong> = 1<br>
<strong>validate_capstyle</strong> = <matplotlib.ValidateInStrings instance><br>
<strong>validate_joinstyle</strong> = <matplotlib.ValidateInStrings instance><br>
<strong>validate_orientation</strong> = <matplotlib.ValidateInStrings instance><br>
<strong>validate_ps_papersize</strong> = <matplotlib.ValidateInStrings instance><br>
<strong>validate_tex_engine</strong> = <matplotlib.ValidateInStrings instance><br>
<strong>verbose</strong> = <matplotlib.Verbose instance></td></tr></table>
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