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DOC refer to plot in the scatter plot doc #7096

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Sep 20, 2016
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DOC refer to plot in the scatter plot doc #7096

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DOC refer to plot in the scatter plot doc
NelleV Sep 12, 2016
e6e1e56
DOC better wording for plot vs scatter
NelleV Sep 14, 2016
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26 changes: 17 additions & 9 deletions lib/matplotlib/axes/_axes.py
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Expand Up @@ -3889,17 +3889,25 @@ def scatter(self, x, y, s=None, c=None, marker=None, cmap=None, norm=None,
----------------
kwargs : `~matplotlib.collections.Collection` properties

See Also
--------
plot : to plot scatter plots when markers are identical in size and
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what about for scatterplots where markers are identical in size and color (nitpicky as all out, but I find the plot: to plot construction clunky)

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This needs backticks to cross-link, doesn't it?

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No it doesn't, thought it is currently impossible to check on matplotlib's documentation.

color

Notes
------
Any or all of `x`, `y`, `s`, and `c` may be masked arrays, in
which case all masks will be combined and only unmasked points
will be plotted.
-----

* The `plot` function will be faster for scatterplots where markers
don't vary in size or color.

* Any or all of `x`, `y`, `s`, and `c` may be masked arrays, in which
case all masks will be combined and only unmasked points will be
plotted.

Fundamentally, scatter works with 1-D arrays; `x`, `y`, `s`,
and `c` may be input as 2-D arrays, but within scatter
they will be flattened. The exception is `c`, which
will be flattened only if its size matches the size of `x`
and `y`.
Fundamentally, scatter works with 1-D arrays; `x`, `y`, `s`, and `c`
may be input as 2-D arrays, but within scatter they will be
flattened. The exception is `c`, which will be flattened only if its
size matches the size of `x` and `y`.

Examples
--------
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