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

# ### Missing Value in Pandas datafrmae

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# import
import pandas as pd


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# reading the file
data = pd.read_csv("data/train.csv")


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# Looking the data
data.head(6)


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# isnull or notnull
data.isnull().head(6)


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data.notnull().head(6)


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# use of any
data.isnull().values.any()


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# use of all
data.isnull().values.all()


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# taking the count of Null/NaN in each column of dataframe
data.isnull().sum()


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# if want to know the total
data.isnull().sum().sum()


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# if want to check in any particular column
data['Dependents'].isnull().sum()


# **_Atul Singh_  
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