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lines changed Original file line number Diff line number Diff line change 22Matplotlib provides sophisticated date plotting capabilities, standing on the
33shoulders of python :mod:`datetime` and the add-on module :mod:`dateutil`.
44
5- By default, Matpltolib uses the units machinery described in
6- `~. matplotlib.units` to convert `datetime.datetime`, and `numpy.datetime64`
5+ By default, Matplotlib uses the units machinery described in
6+ `~matplotlib.units` to convert `datetime.datetime`, and `numpy.datetime64`
77objects when plotted on an x- or y-axis. The user does not
88need to do anything for dates to be formatted, but dates often have strict
99formatting needs, so this module provides many axis locators and formatters.
1010A basic example using `numpy.datetime64` is::
1111
1212 import numpy as np
13- fig, ax = plt.subplots()
13+
1414 times = np.arange(np.datetime64('2001-01-02'),
1515 np.datetime64('2002-02-03'), np.timedelta64(75, 'm'))
1616 y = np.random.randn(len(times))
17+
18+ fig, ax = plt.subplots()
1719 ax.plot(times, y)
1820
1921.. seealso::
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