# import the pandas library
import pandas as pd
# Dictionary of key pair values called data
data = {'Name':['Ashika', 'Tanu', 'Ashwin', 'Mohit', 'Sourabh'],
        'Age': [24, 23, 22, 19, 10]}
data

# Calling the pandas data frame method by passing the dictionary (data) as a parameter
df = pd.DataFrame(data)
df

# import the pandas library
import pandas as pd
# Dictionary of key pair values called data
data = {'Name':['Ashika', 'Tanu', 'Ashwin', 'Mohit', 'Sourabh'],
        'Age': [24, 23, 22, 19, 10]}
data

# Calling the pandas data frame method by passing the dictionary (data) as a parameter
df = pd.DataFrame(data)
# Selecting column
df[['Name']]

# import the pandas library
import pandas as pd
# Dictionary of key pair values called data
data = {'Name':['Ashika', 'Tanu', 'Ashwin', 'Mohit', 'Sourabh'],
        'Age': [24, 23, 22, 19, 10]}
data

# Calling the pandas data frame method by passing the dictionary (data) as a parameter
df = pd.DataFrame(data)
# Selecting a row
row = df.loc[1]
row


# import the pandas library
import pandas as pd
# Dictionary of key pair values called data
data = {'Name':['Ashika', 'Tanu', 'Ashwin', 'Mohit', 'Sourabh'],
        'Age': [24, 23, 22, 19, 10]}
data

# Calling the pandas data frame method by passing the dictionary (data) as a parameter
df = pd.DataFrame(data)
# Selecting the data from the column
df['Age']

del df['Age']
df

df.insert(1, 'name', df['Name'])
df

# importing both pandas and numpy libraries
import pandas as pd
import numpy as np

# Dictionary of key pair values called data
data ={'Name':['Tanu', np.nan],
       'Age': [23, np.nan]}
data

df = pd.DataFrame(data)
df

# using the isnull() function
df.isnull()

df.fillna(0)

# import the pandas library
import pandas as pd
# Dictionary of key pair values called data
data = {'NAMe':['Ashika', 'Tanu', 'Ashwin', 'Mohit', 'Sourabh'],
        'AGe': [24, 23, 22, 19, 10]}
data

# Calling the pandas data frame method by passing the dictionary (data) as a parameter
df = pd.DataFrame(data)
df

newcols = {
            'NAMe': 'Name',
            'AGe': 'Age'
          }
# Use `rename()` to rename your columns
df.rename(columns=newcols, inplace=True)
df

# The values of new index
newindex = {
            0: 'a',
            1: 'b',
            2: 'c',
            3: 'd',
            4: 'e'
}
# Rename your index
df.rename(index=newindex)