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Pandas provide data analysts a way to delete and filter data frame using
.drop() method. Rows can be removed using index label or column name using this method.
Syntax:
DataFrame.drop(labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors=’raise’)
Parameters:
labels: String or list of strings referring row or column name.
axis: int or string value, 0 ‘index’ for Rows and 1 ‘columns’ for Columns.
index or columns: Single label or list. index or columns are an alternative to axis and cannot be used together.
level: Used to specify level in case data frame is having multiple level index.
inplace: Makes changes in original Data Frame if True.
errors: Ignores error if any value from the list doesn’t exists and drops rest of the values when errors = ‘ignore’
Return type: Dataframe with dropped values
Now, Let’s create a sample dataframe
Python3
import pandas as pd
details = {
'Name' : ['Ankit', 'Aishwarya', 'Shaurya','Shivangi'],
'Age' : [23, 21, 22,21],
'University' : ['BHU', 'JNU', 'DU', 'BHU'],
}
df = pd.DataFrame(details,columns = ['Name','Age','University'],
index = ['a', 'b', 'c', 'd'])
df
Output:
Example #1: Delete a single Row in DataFrame by Row Index Label
Python3
import pandas as pd
details = {
'Name' : ['Ankit', 'Aishwarya', 'Shaurya', 'Shivangi'],
'Age' : [23, 21, 22, 21],
'University' : ['BHU', 'JNU', 'DU', 'BHU'],
}
df = pd.DataFrame(details, columns = ['Name', 'Age', 'University'],
index = ['a', 'b', 'c', 'd'])
update_df = df.drop('c')
update_df
Output :
Example #2: Delete Multiple Rows in DataFrame by Index Labels
Python3
import pandas as pd
details = {
'Name' : ['Ankit', 'Aishwarya', 'Shaurya', 'Shivangi'],
'Age' : [23, 21, 22, 21],
'University' : ['BHU', 'JNU', 'DU', 'BHU'],
}
df = pd.DataFrame(details, columns = ['Name', 'Age', 'University'],
index = ['a', 'b', 'c', 'd'])
update_df = df.drop(['b', 'c'])
update_df
Output
:
Example #3: Delete a Multiple Rows by Index Position in DataFrame
Python3
import pandas as pd
details = {
'Name' : ['Ankit', 'Aishwarya', 'Shaurya', 'Shivangi'],
'Age' : [23, 21, 22, 21],
'University' : ['BHU', 'JNU', 'DU', 'BHU'],
}
df = pd.DataFrame(details, columns = ['Name', 'Age', 'University'],
index = ['a', 'b', 'c', 'd'])
update_df = df.drop([df.index[1], df.index[2]])
update_df
Output :
Example #4: Delete rows from dataFrame in Place
Python3
import pandas as pd
details = {
'Name' : ['Ankit', 'Aishwarya', 'Shaurya', 'Shivangi'],
'Age' : [23, 21, 22, 21],
'University' : ['BHU', 'JNU', 'DU', 'BHU'],
}
df = pd.DataFrame(details, columns = ['Name', 'Age', 'University'],
index = ['a', 'b', 'c', 'd'])
df.drop(['c', 'd'], inplace = True )
df
Output :