Удалите список строк из Pandas DataFrame

Опубликовано: 27 Марта, 2022

Let us see how to drop a list of rows in a Pandas DataFrame. We can do this using the drop() function. We will also pass inplace = True as it makes sure that the changes we make in the instance are stored in that instance without doing any assignment
Over here is the code implementation of how to drop list of rows from the table :

Example 1 :

# imnport the module
import pandas as pd
   
# creating a DataFrame
dictionary = {"Names":["Simon", "Josh", "Amen", "Habby", 
                       "Jonathan", "Nick"], 
              "Countries":["AUSTRIA", "BELGIUM", "BRAZIL", 
                           "FRANCE", "INDIA", "GERMANY"]}
table = pd.DataFrame(dictionary, columns = ["Names", "Countries"], 
                     index = ["a", "b", "c", "d", "e", "f"])
   
display(table)
   
# gives the table with the dropped rows
display("Table with the dropped rows")
display(table.drop(["a", "d"]))
   
# gives the table with the dropped rows 
# shows the reduced table for the given command only
display("Reduced table for the given command only")
display(table.drop(table.index[[1, 3]]))
   
# it gives none but it makes changes in the table 
display(table.drop(["a", "d"], inplace = True))
   
# final table
print("Final Table")
display(table)
   
# table after removing range of rows from 0 to 2(not included)
table.drop(table.index[:2], inplace = True)
   
display(table)

Output :

Example 2 :

# creating a DataFrame    
data = {"Name" : ["Jai", "Princi", "Gaurav", "Anuj"],
        "Age" : [27, 24, 22, 32],
        "Address" : ["Delhi", "Kanpur", "Allahabad", "Kannauj"],
        "Qualification" : ["Msc", "MA", "MCA", "Phd"]}
table = pd.DataFrame(data)
  
# original DataFrame
display("Original DataFrame")
display(table)
  
# drop 2nd row
display("Dropped 2nd row")
display(table.drop(1))

Outout :

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Удалите список строк из Pandas DataFrame

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