#!/usr/bin/env python

# coding: utf-8

# In[1]:

import pandas as pd

import numpy as np

from pandas import Series,DataFrame

import matplotlib.pyplot as plt

get_ipython().run_line_magic('matplotlib', 'inline')

# In[2]:

nd = np.linspace(0,100, num=50)

s = Series(nd)

s.plot()

# In[4]:

s.cumsum().plot()

# In[3]:

df = DataFrame(np.random.randint(0,30,size=(10,4)),index=list('abcdefghij'),

columns=list('ABCD'))

df

# In[4]:

df.plot(title='DataFrame')

# In[5]:

df.plot(kind = 'bar')

# In[10]:

df.plot(kind = 'barh')

# In[6]:

nd = np.random.randint(0,5,size=10)

s=Series(nd)

# In[9]:

nd

# In[7]:

s.hist()

# In[18]:

nd1 = np.random.randint(0,50,size=(50,5))

df1=DataFrame(nd1,columns=list('XYABC'))

df1.plot(x='X',y='Y',kind='scatter')

# In[19]:

pd.plotting.scatter_matrix(df1,diagonal='kde')