Das deutsche Python-Forum

Code: Alles auswählen

$ python date_index_formatter.py
Traceback (most recent call last):
  File "date_index_formatter.py", line 16, in <module>
    datafile = cbook.get_sample_data('msft.csv', asfileobj=False)
AttributeError: 'module' object has no attribute 'get_sample_data'

Code: Alles auswählen

$ cat date_index_formatter.py
"""
When plotting daily data, a frequent request is to plot the data
ignoring skips, eg no extra spaces for weekends.  This is particularly
common in financial time series, when you may have data for M-F and
not Sat, Sun and you don't want gaps in the x axis.  The approach is
to simply use the integer index for the xdata and a custom tick
Formatter to get the appropriate date string for a given index.
"""

import numpy
from matplotlib.mlab import csv2rec
from pylab import figure, show
import matplotlib.cbook as cbook
from matplotlib.ticker import Formatter

datafile = cbook.get_sample_data('msft.csv', asfileobj=False)
print 'loading', datafile
r = csv2rec(datafile)[-40:]

class MyFormatter(Formatter):
    def __init__(self, dates, fmt='%Y-%m-%d'):
        self.dates = dates
        self.fmt = fmt

    def __call__(self, x, pos=0):
        'Return the label for time x at position pos'
        ind = int(round(x))
        if ind>=len(self.dates) or ind<0: return ''

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

formatter = MyFormatter(r.date)

fig = figure()
ax = fig.add_subplot(111)
ax.xaxis.set_major_formatter(formatter)
ax.plot(numpy.arange(len(r)), r.close, 'o-')
fig.autofmt_xdate()
show()

$ python
Python 2.6.5 (r265:79063, Apr 16 2010, 13:57:41) 
[GCC 4.4.3] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
>>> from matplotlib.mlab import csv2rec
>>> from pylab import figure, show
>>> import matplotlib.cbook as cbook
>>> from matplotlib.ticker import Formatter

Code: Alles auswählen

In [1]: from pylab import *

In [2]: x = arange(20)

In [3]: y = sin(x)

In [4]: plot(x, y, 'o-')
Out[4]: [<matplotlib.lines.Line2D object at 0xa3b7f4c>]

In [5]: show()

Code: Alles auswählen

from pylab import *
import matplotlib.pyplot as plt
x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]

y = [20, 24, 8, 4, 12, 22, 31, 25, 15, 28, 12, 27, 22, 22, 27, 14, 32, 28, 8, 17, 2, 8, 29, 13, 14, 20, 11, 28, 8]

fig = plt.figure()
ax = fig.add_subplot(111)

ax.plot(x, y, 'o-')
ax.grid(True)

# rotates and right aligns the x labels, and moves the bottom of the
# axes up to make room for them
fig.autofmt_xdate()
plt.show()

Code: Alles auswählen

from pylab import *
import matplotlib.pyplot as plt
x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]

y = [20, 24, 8, 4, 12, 22, 31, 25, 15, 28, 12, 27, 22, 22, 27, 14, 32, 28, 8, 17, 2, 8, 29, 13, 14, 20, 11, 28, 8]

fig = plt.figure()
ax = fig.add_subplot(111)

ax.plot(x, y, 'o-')
ax.grid(True)

# rotates and right aligns the x labels, and moves the bottom of the
# axes up to make room for them
fig.autofmt_xdate()

# set x and y labels
plt.xticks(range(0, 40, 1))
plt.yticks(range(0, 40, 1))
plt.show()