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matplotlib.animation.Animation.save

Animation.save(filename, writer=None, fps=None, dpi=None, codec=None, bitrate=None, extra_args=None, metadata=None, extra_anim=None, savefig_kwargs=None)

Saves a movie file by drawing every frame.

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matplotlib.animation.Animation.saveNone and writer is a MovieWriter, a RuntimeError will be raised.

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matplotlib.animation.FileMovieWriter.setup

FileMovieWriter.setup(fig, outfile, dpi, frame_prefix='_tmp', clear_temp=True)

Perform setup for writing the movie file.

Parameters:

filename : str

@@ -151,19 +122,19 @@

matplotlib.animation.Animation.saveMovieWriter or str, optional

A MovieWriter instance to use or a key that identifies a -class to use, such as ‘ffmpeg’ or ‘mencoder’. If None, +class to use, such as ‘ffmpeg’ or ‘mencoder’. If None, defaults to rcParams['animation.writer']

fps : number, optional

frames per second in the movie. Defaults to None, -which will use the animation’s specified interval to set +which will use the animation’s specified interval to set the frames per second.

dpi : number, optional

Controls the dots per inch for the movie frames. This -combined with the figure’s size in inches controls the size of +combined with the figure’s size in inches controls the size of the movie. If None, defaults to rcparam['savefig.dpi']

codec : str, optional

@@ -204,7 +175,7 @@

matplotlib.animation.Animation.save

Is a dictionary containing keyword arguments to be passed -on to the ‘savefig’ command which is called repeatedly to +on to the ‘savefig’ command which is called repeatedly to save the individual frames.

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fig : matplotlib.figure.Figure

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matplotlib.animation.FileMovieWriter.setup @@ -173,23 +144,17 @@

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matplotlib.animation.MencoderBase

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matplotlib.animation.MencoderBase__init__($self, /, *args, **kwargs)

Initialize self. See help(type(self)) for accurate signature.

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matplotlib.animation.MencoderFileWriter

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matplotlib.animation.MencoderFileWriterMethods

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matplotlib.animation.MencoderFileWriter supported_formats = ['png', 'jpeg', 'tga', 'sgi']
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matplotlib.animation.MencoderWriter

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matplotlib.animation.MencoderWriterMethods

__init__(*args, **kwargs)
__init__(*args, **kwargs)

Deprecated since version 2.0.

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matplotlib.animation.MencoderFileWriter

isAvailable() Check to see if a MovieWriter subclass is actually available by running the commandline tool.
saving(fig, outfile, dpi, *args, **kwargs)
saving(fig, outfile, dpi, *args, **kwargs) Context manager to facilitate writing the movie file.
setup(fig, outfile[, dpi, frame_prefix, …])
setup(fig, outfile[, dpi, frame_prefix, …]) Perform setup for writing the movie file.
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__init__(*args, **kwargs)
__init__(*args, **kwargs)

Deprecated since version 2.0.

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matplotlib.animation.MencoderWriter

isAvailable() Check to see if a MovieWriter subclass is actually available by running the commandline tool.
saving(fig, outfile, dpi, *args, **kwargs)
saving(fig, outfile, dpi, *args, **kwargs) Context manager to facilitate writing the movie file.
setup(fig, outfile[, dpi])
setup(fig, outfile[, dpi]) Perform setup for writing the movie file.

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MovieWriter.finish()

Finish any processing for writing the movie.

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matplotlib.animation.MovieWriter.grab_frame

MovieWriter.grab_frame(**savefig_kwargs)

Grab the image information from the figure and save as a movie frame.

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matplotlib.animation.MovieWriter.saving*args, **kw are any parameters that should be passed to setup.

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matplotlib.animation.MovieWriter.setup

MovieWriter.setup(fig, outfile, dpi)

Perform setup for writing the movie file.

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Parameters:

fig : matplotlib.Figure instance

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matplotlib.artist.Artist.hitlist

Artist.hitlist(event)

List the children of the artist which contain the mouse event event.

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matplotlib.artist.Artist.is_figure_set

Artist.is_figure_set()

Returns whether the artist is assigned to a Figure.

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Axes.hitlist(event)

List the children of the artist which contain the mouse event event.

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Axes.is_figure_set()

Returns whether the artist is assigned to a Figure.

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Axis.hitlist(event)

List the children of the artist which contain the mouse event event.

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Axis.is_figure_set()

Returns whether the artist is assigned to a Figure.

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Tick.hitlist(event)

List the children of the artist which contain the mouse event event.

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Tick.is_figure_set()

Returns whether the artist is assigned to a Figure.

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XAxis.hitlist(event)

List the children of the artist which contain the mouse event event.

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XAxis.is_figure_set()

Returns whether the artist is assigned to a Figure.

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XTick.hitlist(event)

List the children of the artist which contain the mouse event event.

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XTick.is_figure_set()

Returns whether the artist is assigned to a Figure.

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YAxis.hitlist(event)

List the children of the artist which contain the mouse event event.

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YAxis.is_figure_set()

Returns whether the artist is assigned to a Figure.

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List the children of the artist which contain the mouse event event.

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YTick.is_figure_set()

Returns whether the artist is assigned to a Figure.

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+ You are reading documentation that no longer exists in the + current release of Matplotlib! Try searching for + an updated version? +
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+ You are reading documentation that no longer exists in the + current release of Matplotlib! Try searching for + an updated version? +
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finance

matplotlib.finance

@@ -157,8 +128,8 @@

finance -

Parameters:

ax : Axes

@@ -207,7 +178,6 @@

finance
matplotlib.finance.candlestick2_ohlc(ax, opens, highs, lows, closes, width=4, colorup='k', colordown='r', alpha=0.75)
@@ -216,8 +186,8 @@

finance -

Parameters:

ax : Axes

@@ -266,7 +236,6 @@

finance
matplotlib.finance.candlestick_ochl(ax, quotes, width=0.2, colorup='k', colordown='r', alpha=1.0)
@@ -275,8 +244,8 @@

finance -

Parameters:

ax : Axes

@@ -316,7 +285,6 @@

finance
matplotlib.finance.candlestick_ohlc(ax, quotes, width=0.2, colorup='k', colordown='r', alpha=1.0)
@@ -325,8 +293,8 @@

finance -

Parameters:

ax : Axes

@@ -366,15 +334,14 @@

finance
matplotlib.finance.fetch_historical_yahoo(ticker, date1, date2, cachename=None, dividends=False)

Fetch historical data for ticker between date1 and date2. date1 and date2 are date or datetime instances, or (year, month, day) sequences.

--++
Parameters:

ticker : str

@@ -410,18 +377,17 @@

financeExamples

-
>>> fh = fetch_historical_yahoo('^GSPC', (2000, 1, 1), (2001, 12, 31))
+
>>> fh = fetch_historical_yahoo('^GSPC', (2000, 1, 1), (2001, 12, 31))
 
-
matplotlib.finance.index_bar(ax, vals, facecolor='b', edgecolor='l', width=4, alpha=1.0)

Add a bar collection graph with height vals (-1 is missing).

--++
Parameters:

ax : Axes

@@ -458,19 +424,17 @@

finance
matplotlib.finance.md5(x)
-
matplotlib.finance.parse_yahoo_historical_ochl(fh, adjusted=True, asobject=False)

Parse the historical data in file handle fh from yahoo finance.

--++
Parameters:

adjusted : bool

@@ -510,14 +474,13 @@

finance
matplotlib.finance.parse_yahoo_historical_ohlc(fh, adjusted=True, asobject=False)

Parse the historical data in file handle fh from yahoo finance.

--++-++-++-++-++
Parameters:

adjusted : bool

@@ -557,7 +520,6 @@

finance
matplotlib.finance.plot_day_summary2_ochl(ax, opens, closes, highs, lows, ticksize=4, colorup='k', colordown='r')
@@ -565,8 +527,8 @@

finance -

Parameters:

ax : Axes

@@ -611,7 +573,6 @@

finance
matplotlib.finance.plot_day_summary2_ohlc(ax, opens, highs, lows, closes, ticksize=4, colorup='k', colordown='r')
@@ -622,8 +583,8 @@

finance -

Parameters:

ax : Axes

@@ -668,7 +629,6 @@

finance
matplotlib.finance.plot_day_summary_oclh(ax, quotes, ticksize=3, colorup='k', colordown='r')
@@ -678,8 +638,8 @@

finance -

Parameters:

ax : Axes

@@ -712,7 +672,6 @@

finance
matplotlib.finance.plot_day_summary_ohlc(ax, quotes, ticksize=3, colorup='k', colordown='r')
@@ -722,8 +681,8 @@

finance -

Parameters:

ax : Axes

@@ -756,7 +715,6 @@

finance
matplotlib.finance.quotes_historical_yahoo_ochl(ticker, date1, date2, asobject=False, adjusted=True, cachename=None)
@@ -764,8 +722,8 @@

financeparse_yahoo_historical() for explanation of output formats and the asobject and adjusted kwargs.

--++
Parameters:

ticker : str

@@ -790,18 +748,17 @@

financeExamples

-
>>> sp = f.quotes_historical_yahoo_ochl('^GSPC', d1, d2,
+
>>> sp = f.quotes_historical_yahoo_ochl('^GSPC', d1, d2,
                          asobject=True, adjusted=True)
 >>> returns = (sp.open[1:] - sp.open[:-1])/sp.open[1:]
 >>> [n,bins,patches] = hist(returns, 100)
 >>> mu = mean(returns)
 >>> sigma = std(returns)
 >>> x = normpdf(bins, mu, sigma)
->>> plot(bins, x, color='red', lw=2)
+>>> plot(bins, x, color='red', lw=2)
 
-
matplotlib.finance.quotes_historical_yahoo_ohlc(ticker, date1, date2, asobject=False, adjusted=True, cachename=None)
@@ -809,8 +766,8 @@

financeparse_yahoo_historical() for explanation of output formats and the asobject and adjusted kwargs.

--++-++-++-++
Parameters:

ticker : str

@@ -835,18 +792,17 @@

financeExamples

-

Parameters:

ax : Axes

@@ -900,7 +856,6 @@

finance
matplotlib.finance.volume_overlay2(ax, closes, volumes, colorup='k', colordown='r', width=4, alpha=1.0)
@@ -910,8 +865,8 @@

finance -

Parameters:

ax : Axes

@@ -952,7 +907,6 @@

finance
matplotlib.finance.volume_overlay3(ax, quotes, colorup='k', colordown='r', width=4, alpha=1.0)
@@ -960,8 +914,8 @@

finance -

Parameters:

ax : Axes

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+ You are reading documentation that no longer exists in the + current release of Matplotlib! Try searching for + an updated version? +
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pyplot

matplotlib.pyplot

@@ -160,8 +131,8 @@

pyplotmatplotlib.pyplot.acorr(x, hold=None, data=None, **kwargs)

Plot the autocorrelation of x.

--++ - @@ -216,7 +187,7 @@

pyplotacorr is bottom graph.

(Source code, png, pdf)

-../_images/xcorr_demo2.png +../_images/xcorr_demo2.png
-
matplotlib.pyplot.angle_spectrum(x, Fs=None, Fc=None, window=None, pad_to=None, sides=None, hold=None, data=None, **kwargs)

Plot the angle spectrum.

Call signature:

angle_spectrum(x, Fs=2, Fc=0,  window=mlab.window_hanning,
-               pad_to=None, sides='default', **kwargs)
+               pad_to=None, sides='default', **kwargs)
 

Compute the angle spectrum (wrapped phase spectrum) of x. Data is padded to a length of pad_to and the windowing function window is applied to the signal.

Parameters:

x : sequence of scalar

hold : boolean, optional, deprecated, default: True

@@ -199,11 +170,11 @@

pyplot

Other Parameters:
 

linestyle : Line2D prop, optional, default: None

+
 

linestyle : Line2D prop, optional, default: None

Only used if usevlines is False.

-

marker : string, optional, default: ‘o’

+

marker : string, optional, default: ‘o’

--++--++ @@ -338,31 +308,31 @@

pyplot

- + - + - + - + - + - + @@ -407,10 +377,10 @@

pyplot

- + - + @@ -461,24 +431,23 @@

pyplotspecgram()
specgram() can plot the angle spectrum of segments within the signal in a colormap.
-
In addition to the above described arguments, this function can take a data keyword argument. If such a data argument is given, the following arguments are replaced by data[<arg>]: * All arguments with the following names: ‘x’.
+
In addition to the above described arguments, this function can take a data keyword argument. If such a data argument is given, the following arguments are replaced by data[<arg>]: * All arguments with the following names: ‘x’.

Examples

(Source code, png, pdf)

-../_images/spectrum_demo2.png +../_images/spectrum_demo2.png
-
matplotlib.pyplot.annotate(*args, **kwargs)

Annotate the point xy with text s.

Additional kwargs are passed to Text.

Parameters:

x : 1-D array or sequence

@@ -266,12 +236,12 @@

pyplot

Propertydash_capstyle[‘butt’ | ‘round’ | ‘projecting’][‘butt’ | ‘round’ | ‘projecting’]
dash_joinstyle[‘miter’ | ‘round’ | ‘bevel’][‘miter’ | ‘round’ | ‘bevel’]
dashes sequence of on/off ink in points
drawstyle[‘default’ | ‘steps’ | ‘steps-pre’ | ‘steps-mid’ | ‘steps-post’][‘default’ | ‘steps’ | ‘steps-pre’ | ‘steps-mid’ | ‘steps-post’]
figure a matplotlib.figure.Figure instance
fillstyle[‘full’ | ‘left’ | ‘right’ | ‘bottom’ | ‘top’ | ‘none’][‘full’ | ‘left’ | ‘right’ | ‘bottom’ | ‘top’ | ‘none’]
gid an id string
labelstring or anything printable with ‘%s’ conversion.string or anything printable with ‘%s’ conversion.
linestyle or ls[‘solid’ | ‘dashed’, ‘dashdot’, ‘dotted’ | (offset, on-off-dash-seq) | '-' | '--' | '-.' | ':' | 'None' | ' ' | ''][‘solid’ | ‘dashed’, ‘dashdot’, ‘dotted’ | (offset, on-off-dash-seq) | '-' | '--' | '-.' | ':' | 'None' | ' ' | '']
linewidth or lw float value in pointssolid_capstyle[‘butt’ | ‘round’ | ‘projecting’][‘butt’ | ‘round’ | ‘projecting’]
solid_joinstyle[‘miter’ | ‘round’ | ‘bevel’][‘miter’ | ‘round’ | ‘bevel’]
transform a matplotlib.transforms.Transform instance
--++--++ @@ -567,10 +536,10 @@

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+ - + @@ -586,8 +555,8 @@

pyplot

--++ @@ -605,7 +574,7 @@

pyplot

- + @@ -617,8 +586,8 @@

pyplot'arrowstyle' are:

Parameters:

s : str

@@ -499,8 +468,8 @@

pyplotstr the allowed values are:

--++ @@ -508,35 +477,35 @@

pyplot -

+ - + - + - + - + - + - + - - + +
Property
‘figure points’
‘figure points’ points from the lower left of the figure
‘figure pixels’
‘figure pixels’ pixels from the lower left of the figure
‘figure fraction’
‘figure fraction’ fraction of figure from lower left
‘axes points’
‘axes points’ points from lower left corner of axes
‘axes pixels’
‘axes pixels’ pixels from lower left corner of axes
‘axes fraction’
‘axes fraction’ fraction of axes from lower left
‘data’
‘data’ use the coordinate system of the object being annotated (default)
‘polar’(theta,r) if not native ‘data’ coordinates
‘polar’(theta,r) if not native ‘data’ coordinates

If a Artist object is passed in the units are -fraction if it’s bounding box.

+fraction if it’s bounding box.

If a Transform object is passed in use that to transform xy to screen coordinates

If a callable it must take a @@ -558,8 +527,8 @@

pyplot

Property
‘offset points’
‘offset points’ offset (in points) from the xy value
‘offset pixels’
‘offset pixels’ offset (in pixels) from the xy value
Keyshrinkfraction of total length to ‘shrink’ from both endsfraction of total length to ‘shrink’ from both ends
? any key to matplotlib.patches.FancyArrowPatch
--++ @@ -667,8 +636,8 @@

pyplotFancyArrowPatch are:

Name
--++ @@ -718,7 +687,7 @@

pyplotxy is inside the axes. If False, the annotation will always be drawn regardless of its position.

The default is None, which behave as True only if -xycoords is “data”.

+xycoords is “data”.

@@ -728,7 +697,6 @@

pyplot
matplotlib.pyplot.arrow(x, y, dx, dy, hold=None, **kwargs)
@@ -736,8 +704,8 @@

pyplotx, y) to (x + dx, y + dy). Uses FancyArrow patch to construct the arrow.

Key
--++ -
Parameters:

x : float

@@ -764,7 +732,7 @@

pyplot

Other Parameters:
 

Optional kwargs (inherited from FancyArrow patch) control the arrow

+
 

Optional kwargs (inherited from FancyArrow patch) control the arrow

construction and properties:

Constructor arguments

@@ -781,7 +749,7 @@

pyplotlength of arrow head

-
shape: [‘full’, ‘left’, ‘right’] (default: ‘full’)
+
shape: [‘full’, ‘left’, ‘right’] (default: ‘full’)

draw the left-half, right-half, or full arrow

overhang: float (default: 0)
@@ -798,8 +766,8 @@

pyplot
--++ @@ -823,7 +791,7 @@

pyplotAxes instance

- + @@ -841,10 +809,10 @@

pyplot

- + - + @@ -856,16 +824,16 @@

pyplot

- + - + - + - + @@ -909,17 +877,16 @@

pyplotannotate() for example:

-
ax.annotate("", xy=(0.5, 0.5), xytext=(0, 0),
-    arrowprops=dict(arrowstyle="->"))
+
ax.annotate("", xy=(0.5, 0.5), xytext=(0, 0),
+    arrowprops=dict(arrowstyle="->"))
 

Examples

(Source code, png, pdf)

-../_images/arrow_demo2.png +../_images/arrow_demo2.png
-
matplotlib.pyplot.autoscale(enable=True, axis='both', tight=None)
@@ -932,8 +899,8 @@

pyplot
matplotlib.pyplot.autumn()

set the default colormap to autumn and apply to current image if any. See help(colormaps) for more information

-
matplotlib.pyplot.axes(*args, **kwargs)
@@ -967,9 +932,9 @@

pyplot

---+++ @@ -1002,7 +967,7 @@

pyplot

- @@ -1016,14 +981,13 @@

pyplot
matplotlib.pyplot.axhline(y=0, xmin=0, xmax=1, hold=None, **kwargs)

Add a horizontal line across the axis.

Property
capstyle[‘butt’ | ‘round’ | ‘projecting’][‘butt’ | ‘round’ | ‘projecting’]
clip_box a matplotlib.transforms.Bbox instanceedgecolor or ecmpl color spec, None, ‘none’, or ‘auto’mpl color spec, None, ‘none’, or ‘auto’
facecolor or fcmpl color spec, or None for default, or ‘none’ for no colormpl color spec, or None for default, or ‘none’ for no color
figure a matplotlib.figure.Figure instancehatch[‘/’ | ‘\’ | ‘|’ | ‘-‘ | ‘+’ | ‘x’ | ‘o’ | ‘O’ | ‘.’ | ‘*’][‘/’ | ‘\’ | ‘|’ | ‘-‘ | ‘+’ | ‘x’ | ‘o’ | ‘O’ | ‘.’ | ‘*’]
joinstyle[‘miter’ | ‘round’ | ‘bevel’][‘miter’ | ‘round’ | ‘bevel’]
labelstring or anything printable with ‘%s’ conversion.string or anything printable with ‘%s’ conversion.
linestyle or ls[‘solid’ | ‘dashed’, ‘dashdot’, ‘dotted’ | (offset, on-off-dash-seq) | '-' | '--' | '-.' | ':' | 'None' | ' ' | ''][‘solid’ | ‘dashed’, ‘dashdot’, ‘dotted’ | (offset, on-off-dash-seq) | '-' | '--' | '-.' | ':' | 'None' | ' ' | '']
linewidth or lw float or None for default
kwargaspect [str | num][‘equal’, ‘auto’] or a number. If a number +[‘equal’, ‘auto’] or a number. If a number the ratio of x-unit/y-unit in screen-space. Also see set_aspect().
--++
Parameters:

y : scalar, optional, default: 0

@@ -1058,17 +1022,17 @@

pyplotExamples