Skip to content

Make examples that load msft.csv robust against locale changes. #13061

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Dec 29, 2018
Merged

Make examples that load msft.csv robust against locale changes. #13061

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
16 changes: 9 additions & 7 deletions examples/misc/load_converter.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,19 +4,21 @@
==============

"""
import numpy as np

import dateutil.parser
from matplotlib import cbook, dates
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
from matplotlib.dates import bytespdate2num
import numpy as np


datafile = cbook.get_sample_data('msft.csv', asfileobj=False)
print('loading', datafile)

dates, closes = np.loadtxt(datafile, delimiter=',',
converters={0: bytespdate2num('%d-%b-%y')},
skiprows=1, usecols=(0, 2), unpack=True)
data = np.genfromtxt(
datafile, delimiter=',', names=True,
converters={0: lambda s: dates.date2num(dateutil.parser.parse(s))})

fig, ax = plt.subplots()
ax.plot_date(dates, closes, '-')
ax.plot_date(data['Date'], data['High'], '-')
fig.autofmt_xdate()
plt.show()
1 change: 1 addition & 0 deletions examples/misc/plotfile_demo.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,7 @@

Example use of ``plotfile`` to plot data directly from a file.
"""

import matplotlib.pyplot as plt
import matplotlib.cbook as cbook

Expand Down
21 changes: 9 additions & 12 deletions examples/ticks_and_spines/date_index_formatter2.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -11,19 +11,18 @@
Formatter to get the appropriate date string for a given index.
"""


import numpy as np

import dateutil.parser
from matplotlib import cbook, dates
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
from matplotlib.dates import bytespdate2num, num2date
from matplotlib.ticker import Formatter
import numpy as np


datafile = cbook.get_sample_data('msft.csv', asfileobj=False)
print('loading %s' % datafile)
msft_data = np.genfromtxt(datafile, delimiter=',', names=True,
converters={0: bytespdate2num('%d-%b-%y')})[-40:]
msft_data = np.genfromtxt(
datafile, delimiter=',', names=True,
converters={0: lambda s: dates.date2num(dateutil.parser.parse(s))})


class MyFormatter(Formatter):
Expand All @@ -36,13 +35,11 @@ def __call__(self, x, pos=0):
ind = int(np.round(x))
if ind >= len(self.dates) or ind < 0:
return ''
return dates.num2date(self.dates[ind]).strftime(self.fmt)

return num2date(self.dates[ind]).strftime(self.fmt)

formatter = MyFormatter(msft_data['Date'])

fig, ax = plt.subplots()
ax.xaxis.set_major_formatter(formatter)
ax.plot(np.arange(len(msft_data)), msft_data['Close'], 'o-')
ax.xaxis.set_major_formatter(MyFormatter(msft_data['Date']))
ax.plot(msft_data['Close'], 'o-')
fig.autofmt_xdate()
plt.show()