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DOC Replaced documentation with numpydoc for semilogx #7031

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Merged
merged 3 commits into from Sep 27, 2016
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DOC Replaced documentation with numpydoc for semilogx #7031

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DOC Replaced documentation with numpydoc for semilogx
DoriMG Sep 5, 2016
f8035a3
DOC Replaced tabs with spaces
DoriMG Sep 5, 2016
eb12a6c
DOC Removed spaces on empty lines and mixed spaced and tabs
DoriMG Sep 7, 2016
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43 changes: 24 additions & 19 deletions lib/matplotlib/axes/_axes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1545,38 +1545,43 @@ def semilogx(self, *args, **kwargs):
"""
Make a plot with log scaling on the *x* axis.

Call signature::

semilogx(*args, **kwargs)

:func:`semilogx` supports all the keyword arguments of
:func:`~matplotlib.pyplot.plot` and
:meth:`matplotlib.axes.Axes.set_xscale`.

Notable keyword arguments:

*basex*: scalar > 1
Base of the *x* logarithm
Parameters
----------
basex : float, optional
Base of the *x* logarithm. The scalar should be larger
than 1.

*subsx*: [ *None* | sequence ]
subsx : array_like, optional
The location of the minor xticks; *None* defaults to
autosubs, which depend on the number of decades in the
plot; see :meth:`~matplotlib.axes.Axes.set_xscale` for
details.
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This condition should be noted in the new text.


*nonposx*: [ 'mask' | 'clip' ]
nonposx : string, optional, {'mask', 'clip'}
Non-positive values in *x* can be masked as
invalid, or clipped to a very small positive number
invalid, or clipped to a very small positive number.

The remaining valid kwargs are
Returns
-------
`~matplotlib.pyplot.plot`
Log-scaled plot on the *x* axis.

Other Parameters
----------------
:class:`~matplotlib.lines.Line2D` properties:

%(Line2D)s
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Line2D will need to be updated in order for this interpolation to work correctly.


.. seealso::
See Also
--------
loglog : For example code and figure.

Notes
-----
This function supports all the keyword arguments of
:func:`~matplotlib.pyplot.plot` and
:meth:`matplotlib.axes.Axes.set_xscale`.

:meth:`loglog`
For example code and figure
"""
if not self._hold:
self.cla()
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