#!/usr/bin/env python
# coding: utf-8

# # Pandas Example
# <hr style="border-top-width: 4px; border-top-color: #34609b;">
# This example shows how to treat basic data with pandas and how to visualise it (inspiration taken [here](http://pandas.pydata.org)).

# In[3]:


import pandas as pd

import numpy as np
import matplotlib.pyplot as plt
import matplotlib
matplotlib.style.use('ggplot')
get_ipython().run_line_magic('matplotlib', 'inline')


# In[4]:


ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))
ts = ts.cumsum()
ts


# In[5]:


ts.plot()


# In[7]:


df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index, columns=list('ABCD'))
df = df.cumsum()
plt.figure(); df.plot();


# In[8]:


plt.figure()
df.ix[5].plot(kind='bar'); plt.axhline(0, color='k')