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Commit9690232

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Merge pull request#1795 from NelleV/MEP10_hvlines
MEP10 - refactored hlines and vlines documentation
2 parents946ffad +0de3de8 commit9690232

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-83
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6 files changed

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‎examples/pylab_examples/README

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@@ -13,7 +13,7 @@ Here are some demos of how to use the matplotlib.
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-- subplot_demo.py - how to do multiple axes on a single plot
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--vline_demo.py - working with straight lines
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--vline_hline_demo.py - working with straight lines
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-- stock_demo.py - working with large datasets. Click on the plot and
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launch the navigation tool; wheel mouse over the navigation

‎examples/pylab_examples/hline_demo.py

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‎examples/pylab_examples/vline_demo.py

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#!/usr/bin/env python
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"""
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Small demonstration of the hlines and vlines plots.
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"""
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frommatplotlibimportpyplotasplt
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fromnumpyimportsin,exp,absolute,pi,arange
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fromnumpy.randomimportnormal
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deff(t):
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s1=sin(2*pi*t)
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e1=exp(-t)
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returnabsolute((s1*e1))+.05
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t=arange(0.0,5.0,0.1)
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s=f(t)
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nse=normal(0.0,0.3,t.shape)*s
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fig=plt.figure(figsize=(12,6))
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vax=fig.add_subplot(121)
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hax=fig.add_subplot(122)
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vax.plot(t,s+nse,'b^')
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vax.vlines(t, [0],s)
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vax.set_xlabel('time (s)')
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vax.set_title('Vertical lines demo')
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hax.plot(s+nse,t,'b^')
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hax.hlines(t, [0],s,lw=2)
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hax.set_xlabel('time (s)')
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hax.set_title('Horizontal lines demo')
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plt.show()

‎examples/tests/backend_driver.py

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@@ -113,7 +113,7 @@
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'hist_colormapped.py',
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'histogram_demo.py',
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'histogram_demo_extended.py',
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'hline_demo.py',
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'vline_hline_demo.py',
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'image_clip_path.py',
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'image_demo.py',
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'transoffset.py',
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'unicode_demo.py',
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'vertical_ticklabels.py',
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'vline_demo.py',
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'xcorr_demo.py',
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'zorder_demo.py',
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]

‎lib/matplotlib/axes.py

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@@ -3656,37 +3656,39 @@ def hlines(self, y, xmin, xmax, colors='k', linestyles='solid',
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"""
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Plot horizontal lines.
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call signature::
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hlines(y, xmin, xmax, colors='k', linestyles='solid', **kwargs)
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Plot horizontal lines at each `y` from `xmin` to `xmax`.
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Plot horizontal lines at each *y* from *xmin* to *xmax*.
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Parameters
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----------
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y : scalar or 1D array_like
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y-indexes where to plot the lines.
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Returns the :class:`~matplotlib.collections.LineCollection`
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that was added.
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xmin, xmax : scalar or 1D array_like
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Respective beginning and end of each line. If scalars are
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provided, all lines will have same length.
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Required arguments:
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colors : array_like of colors, optional, default: 'k'
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*y*:
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a 1-D numpy array or iterable.
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linestyles : ['solid' | 'dashed' | 'dashdot' | 'dotted'], optional
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*xmin* and *xmax*:
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can be scalars or ``len(x)`` numpy arrays. If they are
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scalars, then the respective values are constant, else the
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widths of the lines are determined by *xmin* and *xmax*.
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label : string, optional, default: ''
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Optional keyword arguments:
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Returns
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-------
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lines : `~matplotlib.collections.LineCollection`
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*colors*:
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a line collections color argument, either a single color
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or a ``len(y)`` list of colors
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Other parameters
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----------------
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kwargs : `~matplotlib.collections.LineCollection` properties.
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*linestyles*:
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[ 'solid' | 'dashed' | 'dashdot' | 'dotted' ]
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See also
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--------
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vlines : vertical lines
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**Example:**
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Examples
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--------
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.. plot:: mpl_examples/pylab_examples/vline_hline_demo.py
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.. plot:: mpl_examples/pylab_examples/hline_demo.py
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"""
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# We do the conversion first since not all unitized data is uniform
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"""
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Plot vertical lines.
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Call signature::
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Plot vertical lines at each `x` from `ymin` to `ymax`.
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vlines(x, ymin, ymax, color='k', linestyles='solid')
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Parameters
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----------
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x : scalar or 1D array_like
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x-indexes where to plot the lines.
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Plot vertical lines at each *x* from *ymin* to *ymax*. *ymin*
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or *ymax* can be scalars or len(*x*) numpy arrays. If they are
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scalars, then the respective values are constant, else the
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heights of the lines are determined by *ymin* and *ymax*.
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xmin, xmax : scalar or 1D array_like
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Respective beginning and end of each line. If scalars are
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provided, all lines will have same length.
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*colors* :
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A line collection's color args, either a single color
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or a ``len(x)`` list of colors
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colors : array_like of colors, optional, default: 'k'
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*linestyles* : ['solid' | 'dashed' | 'dashdot' | 'dotted' ]
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linestyles : ['solid' | 'dashed' | 'dashdot' | 'dotted'], optional
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Returns the :class:`matplotlib.collections.LineCollection`
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that was added.
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label : string, optional, default: ''
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kwargs are :class:`~matplotlib.collections.LineCollection` properties:
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Returns
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-------
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lines : `~matplotlib.collections.LineCollection`
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Other parameters
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----------------
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kwargs : `~matplotlib.collections.LineCollection` properties.
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See also
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--------
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hlines : horizontal lines
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Examples
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---------
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.. plot:: mpl_examples/pylab_examples/vline_hline_demo.py
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%(LineCollection)s
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"""
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self._process_unit_info(xdata=x,ydata=[ymin,ymax],kwargs=kwargs)
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# For normed data, set to log base * minimum data value
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# (gives 1 full tick-label unit for the lowest filled bin)
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ndata=np.array(n)
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minimum= (np.min(ndata[ndata>0]))/logbase
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minimum= (np.min(ndata[ndata>0]))/logbase
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else:
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# For non-normed data, set the min to log base,
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# again so that there is 1 full tick-label unit

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