Re: [Matplotlib-users] time series

[Paul H. <pmh...@gm...>]

On Wed, Jun 5, 2013 at 9:13 AM, Sudheer Joseph <sud...@ya...>wrote:

> Dear Users,
>                  Is there any other method in matplotlib to get the plot
> similar to the one there in below link?
>
>
> http://dsnra.jpl.nasa.gov/software/Python/scikits/lib.plotting.examples.html
> I tried using this package but get below error.
>
> sjo@sjo-ltp../hourly_rama~$ python ts.py
> Traceback (most recent call last):
>   File "ts.py", line 12, in <module>
>     fsp = fig.add_tsplot(111)
>   File
> "/usr/local/lib/python2.7/dist-packages/scikits.timeseries-0.91.3-py2.7-linux-x86_64.egg/scikits/timeseries/lib/plotlib.py",
> line 1284, in add_tsplot
>     return add_generic_subplot(self, *args, **kwargs)
>   File
> "/usr/local/lib/python2.7/dist-packages/scikits.timeseries-0.91.3-py2.7-linux-x86_64.egg/scikits/timeseries/lib/plotlib.py",
> line 177, in add_generic_subplot
>     if key in figure_instance._seen:
> AttributeError: 'TimeSeriesFigure' object has no attribute '_seen'
>
> ########################################
>
> import numpy as np
> import matplotlib.pyplot as plt
> import scikits.timeseries as ts
> import scikits.timeseries.lib.plotlib as tpl
> from scikits.timeseries.lib.moving_funcs import mov_average_expw
>
> # generate some random data
> data = np.cumprod(1 + np.random.normal(0, 1, 300)/100)
> series = ts.time_series(data,
>                        start_date=ts.Date(freq='M', year=1982, month=1))
> fig = tpl.tsfigure()
> fsp = fig.add_tsplot(111)
> fsp.tsplot(series, '-', mov_average_expw(series, 40), 'r--')
> plt.show()
>
>
Pandas has excellent time series handling and plotting capabilities.
http://pandas.pydata.org/pandas-docs/stable/timeseries.html
http://pandas.pydata.org/pandas-docs/stable/visualization.html