How to plot Time Series using matplotlib Python

matplotlib, pandas, python

Solution

Here is an example based on your data using the hist method of a pandas.Series (note that your data is a series and `squeeze=True` in `read_csv` returns a Series in this case):

In [16]: s = pd.read_csv('http://pastebin.com/raw.php?i=vx9xLtdm',
   ....:                 parse_dates=True, index_col=0, squeeze=True,
   ....:                 na_values=-9999)

In [17]: bins = np.linspace(s.min(), s.max(), num=50)

In [18]: axes = s.hist(by=s.index.date, bins=bins, sharex=True, sharey=True)

In [19]: plt.gcf().autofmt_xdate()

In [20]: plt.draw()

Problem

I want to visualize these data: Data Source : http://pastebin.com/vx9xLtdm I couldn't group data per days. ``` import matplotlib.pyplot as plt import numpy as np import pandas as pd df = pd.read_csv('sample.csv') ``` I tried the both ``` x = df.groupby(lambda x: x.created_date())) x = df.set_index('date') ``` For visualization ``` df.hist(color='k', alpha=0.5, bins=50) plt.show() ```

Original source