Pandas Series and Dataframe

 # Series from list

a = [4, 100, 45, 32, 7, 2]

example1 = pd.Series(a)

print(example1)

# Series with index

example2 = pd.Series(a, index = ["a", "b", "c","d","e","f"])

# Series from Data Dictionary

datadict = {"data1": 420, "data2": 380, "data3": 390}

example3 = pd.Series(datadict)

# Dataframe from list

data = [['Alex',10],['Bob',12],['Clarke',13]]

df1 = pd.DataFrame(data,columns=['Name','Age'])

df1

# Add new Column in Dataframe

df2['Address'] = pd.Series(['Mumbai','Pune','Delhi'])

# Add new rows

data = [['Ehsan',10,'Mumbai'],['Rahman',12,'Goa'],['Himlu',13,'Milan']]

df3 = pd.DataFrame(data,columns=['Name','Age','Address'])

df = df2.append(df3)

df