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Oct 10, 2020
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Improve documentation of plot() with arrays #18703

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17 changes: 10 additions & 7 deletions lib/matplotlib/axes/_axes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1414,18 +1414,21 @@ def plot(self, *args, scalex=True, scaley=True, data=None, **kwargs):
>>> plot(x1, y1, 'bo')
>>> plot(x2, y2, 'go')

- Alternatively, if your data is already a 2d array, you can pass it
directly to *x*, *y*. A separate data set will be drawn for every
column.
- If *x* and/or *y* are 2D arrays a separate data set will be drawn
for every column. If both *x* and *y* are 2D, they must have the
same shape. If only one of them is 2D with shape (N, m) the other
must have length N and will be used for every data set m.

Example: For an array ``a`` with shape (N, m) calling::
Example:

>>> plot(a)
>>> x = [1, 2, 3]
>>> y = np.array([[1, 2], [3, 4], [5, 6]])
>>> plot(x, y)

is equivalent to:

>>> for i in range(m):
... plot(a[:, i])
>>> for col in range(y.shape[1]):
... plot(x, y[:, col])

- The third way is to specify multiple sets of *[x]*, *y*, *[fmt]*
groups::
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