Pandas DataFrame.isnull() and notnull() Function
Minahil Noor
Jan 30, 2023
Pandas
Pandas DataFrame
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Syntax of
pandas.DataFrame.isnull()andpandas.DataFrame.notnull(): -
Example Codes:
DataFrame.isnull()Method to Check for Null Values -
Example Codes:
DataFrame.notnull()Method to Check for Not Null Values
Python Pandas DataFrame.isnull() function detects the missing value of an object and the DataFrame.notnull() function detects the non-missing value of an object.
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Syntax of pandas.DataFrame.isnull() and pandas.DataFrame.notnull():
Python
pythonCopyDataFrame.isnull()
DataFrame.notnull()
Return
Both the functions return scalar boolean for scalar input. For array input, both return an array of boolean indicating whether each corresponding element is valid.
Example Codes: DataFrame.isnull() Method to Check for Null Values
Python
pythonCopyimport pandas as pd
import numpy as np
dataframe=pd.DataFrame({'Attendance': {0: 60, 1: np.nan, 2: 80,3: 78,4: 95},
'Name': {0: 'Olivia', 1: 'John', 2: 'Laura',3: 'Ben',4: 'Kevin'},
'Obtained Marks': {0: np.nan, 1: 75, 2: 82, 3: np.nan, 4: 45}})
print("The Original Data frame is: \n")
print(dataframe)
dataframe1 = dataframe.isnull()
print("The output is: \n")
print(dataframe1)
Output:
textCopyThe Original Data frame is:
Attendance Name Obtained Marks
0 60.0 Olivia NaN
1 NaN John 75.0
2 80.0 Laura 82.0
3 78.0 Ben NaN
4 95.0 Kevin 45.0
The output is:
Attendance Name Obtained Marks
0 False False True
1 True False False
2 False False False
3 False False True
4 False False False
For null values, the function has returned True.
Example Codes: DataFrame.notnull() Method to Check for Not Null Values
Python
pythonCopyimport pandas as pd
import numpy as np
dataframe=pd.DataFrame({'Attendance': {0: 60, 1: np.nan, 2: 80,3: 78,4: 95},
'Name': {0: 'Olivia', 1: 'John', 2: 'Laura',3: 'Ben',4: 'Kevin'},
'Obtained Marks': {0: np.nan, 1: 75, 2: 82, 3: np.nan, 4: 45}})
print("The Original Data frame is: \n")
print(dataframe)
dataframe1 = dataframe.notnull()
print("The output is: \n")
print(dataframe1)
Output:
textCopyThe Original Data frame is:
Attendance Name Obtained Marks
0 60.0 Olivia NaN
1 NaN John 75.0
2 80.0 Laura 82.0
3 78.0 Ben NaN
4 95.0 Kevin 45.0
The output is:
Attendance Name Obtained Marks
0 True True False
1 False True True
2 True True True
3 True True False
4 True True True
The function has returned True for not null values.
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