Pandas Index function dropna() in Python

The Pandas Index function dropna() used to remove the empty (na/nan) elements from the Index object. It returns an Index object without empty values.

Syntax

 1 Index.dropna(how = 'any')

how : It is string that specifies how to remove an empty elements. The possible values are any, all. If not specified, the default value will be any.

None : If the Index is a MultiIndex, drop the value when any or all levels are NaN.

dropna() function

 1 import pandas as pd
 2 import numpy as np
 3 
 4 index = pd.Index([92, np.nan, 23, 45, np.nan, 92])
 5 
 6 print('The original Index object :')
 7 print(index)
 8 
 9 res = index.dropna()
 10 print('The Index by dropping na :')
 11 print(res)

In the above example, an Index object is created by passing an array that includes nan value elements. A dropna() function is called that removes any nan value elements from the resulting Index object. The result is assign to a variable that will be printed on console.

Output

 1 The original Index object :
 2 Index([92.0, nan, 23.0, 45.0, nan, 92.0], dtype='float64')
 3 
 4 The Index by dropping na :
 5 Index([92.0, 23.0, 45.0, 92.0], dtype='float64')

Index with string literals and numbers

 1 import pandas as pd
 2 import numpy as np
 3 
 4 index = pd.Index([1, 2, 'Welcome', np.nan, 'IOGayan'])
 5 
 6 print('The original Index object :')
 7 print(index)
 8 
 9 res = index.dropna()
 10 print('The Index by dropping na :')
 11 print(res)

In the above example, an Index object is created by passing an array of string literals and numbers that includes nan value elements. A dropna() function is called that removes any nan value elements from the resulting Index object. The result is assign to a variable that will be print.

Output

 1 The original Index object :
 2 Index([1, 2, 'Welcome', nan, 'IOGayan'], dtype='object')
 3 
 4 The Index by dropping na :
 5 Index([1, 2, 'Welcome', 'IOGayan'], dtype='object')

Index with string literals

 1 import pandas as pd
 2 import numpy as np
 3 
 4 index = pd.Index(['Welcome', np.nan, 'IOGayan'])
 5 
 6 print('The original Index object :')
 7 print(index)
 8 
 9 res = index.dropna()
 10 print('The Index by dropping na :')
 11 print(res)

In the above example, an Index object is created by passing an array of string literals that includes nan value elements. A dropna() function is called that removes any nan value elements from the resulting Index object. The result is assign to a variable that will be print.

Index with string literals

 1 The original Index object :
 2 Index(['Welcome', nan, 'IOGayan'], dtype='object')
 3 
 4 The Index by dropping na :
 5 Index(['Welcome', 'IOGayan'], dtype='object')