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Backport PR #14087 on branch v3.1.x (Cleanup date example.) #14095

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Merged
merged 1 commit into from
Apr 29, 2019
Merged

Backport PR #14087 on branch v3.1.x (Cleanup date example.) #14095

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32 changes: 15 additions & 17 deletions 32 examples/text_labels_and_annotations/date.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,9 +3,9 @@
Date tick labels
================

Show how to make date plots in matplotlib using date tick locators and
formatters. See major_minor_demo1.py for more information on
controlling major and minor ticks
Show how to make date plots in Matplotlib using date tick locators and
formatters. See :doc:`/gallery/ticks_and_spines/major_minor_demo` for more
information on controlling major and minor ticks.

All matplotlib date plotting is done by converting date instances into days
since 0001-01-01 00:00:00 UTC plus one day (for historical reasons). The
Expand All @@ -23,33 +23,31 @@

years = mdates.YearLocator() # every year
months = mdates.MonthLocator() # every month
yearsFmt = mdates.DateFormatter('%Y')
years_fmt = mdates.DateFormatter('%Y')

# Load a numpy record array from yahoo csv data with fields date, open, close,
# volume, adj_close from the mpl-data/example directory. The record array
# stores the date as an np.datetime64 with a day unit ('D') in the date column.
# Load a numpy structured array from yahoo csv data with fields date, open,
# close, volume, adj_close from the mpl-data/example directory. This array
# stores the date as an np.datetime64 with a day unit ('D') in the 'date'
# column.
with cbook.get_sample_data('goog.npz') as datafile:
r = np.load(datafile)['price_data'].view(np.recarray)
data = np.load(datafile)['price_data']

fig, ax = plt.subplots()
ax.plot(r.date, r.adj_close)
ax.plot('date', 'adj_close', data=data)

# format the ticks
ax.xaxis.set_major_locator(years)
ax.xaxis.set_major_formatter(yearsFmt)
ax.xaxis.set_major_formatter(years_fmt)
ax.xaxis.set_minor_locator(months)

# round to nearest years...
datemin = np.datetime64(r.date[0], 'Y')
datemax = np.datetime64(r.date[-1], 'Y') + np.timedelta64(1, 'Y')
# round to nearest years.
datemin = np.datetime64(data['date'][0], 'Y')
datemax = np.datetime64(data['date'][-1], 'Y') + np.timedelta64(1, 'Y')
ax.set_xlim(datemin, datemax)


# format the coords message box
def price(x):
return '$%1.2f' % x
ax.format_xdata = mdates.DateFormatter('%Y-%m-%d')
ax.format_ydata = price
ax.format_ydata = lambda x: '$%1.2f' % x # format the price.
ax.grid(True)

# rotates and right aligns the x labels, and moves the bottom of the
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