Split a text column into two columns in Pandas DataFrame
Last Updated :
26 Dec, 2018
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Let's see how to split a text column into two columns in Pandas DataFrame.
Method #1 : Using
Python3
Output :
Split Name column into "First" and "Last" column respectively and add it to the existing Dataframe .
Python3
Output:
Use underscore as delimiter to split the column into two columns.
Python3
Output :
Use
Python3
Output :
Method #2 : Using
Python3
Output :
Split Name column into two different columns named as "First" and "Last" respectively and then add it to the existing Dataframe.
Python3
Output :
Series.str.split() functions.
Split Name column into two different columns. By default splitting is done on the basis of single space by str.split() function.
# import Pandas as pd
import pandas as pd
# create a new data frame
df = pd.DataFrame({'Name': ['John Larter', 'Robert Junior', 'Jonny Depp'],
'Age':[32, 34, 36]})
print("Given Dataframe is :\n",df)
# bydefault splitting is done on the basis of single space.
print("\nSplitting 'Name' column into two different columns :\n",
df.Name.str.split(expand=True))
# import Pandas as pdimport pandas as pd # create a new data framedf = pd.DataFrame({'Name': ['John Larter', 'Robert Junior', 'Jonny Depp'], 'Age':[32, 34, 36]}) print("Given Dataframe is :\n",df) # bydefault splitting is done on the basis of single space.print("\nSplitting 'Name' column into two different columns :\n", df.Name.str.split(expand=True))
Split Name column into "First" and "Last" column respectively and add it to the existing Dataframe .
# import Pandas as pd
import pandas as pd
# create a new data frame
df = pd.DataFrame({'Name': ['John Larter', 'Robert Junior', 'Jonny Depp'],
'Age':[32, 34, 36]})
print("Given Dataframe is :\n",df)
# Adding two new columns to the existing dataframe.
# bydefault splitting is done on the basis of single space.
df[['First','Last']] = df.Name.str.split(expand=True)
print("\n After adding two new columns : \n", df)
# import Pandas as pdimport pandas as pd # create a new data framedf = pd.DataFrame({'Name': ['John Larter', 'Robert Junior', 'Jonny Depp'], 'Age':[32, 34, 36]}) print("Given Dataframe is :\n",df) # Adding two new columns to the existing dataframe.# bydefault splitting is done on the basis of single space.df[['First','Last']] = df.Name.str.split(expand=True) print("\n After adding two new columns : \n", df)
Use underscore as delimiter to split the column into two columns.
# import Pandas as pd
import pandas as pd
# create a new data frame
df = pd.DataFrame({'Name': ['John_Larter', 'Robert_Junior', 'Jonny_Depp'],
'Age':[32, 34, 36]})
print("Given Dataframe is :\n",df)
# Adding two new columns to the existing dataframe.
# splitting is done on the basis of underscore.
df[['First','Last']] = df.Name.str.split("_",expand=True)
print("\n After adding two new columns : \n",df)
# import Pandas as pdimport pandas as pd # create a new data framedf = pd.DataFrame({'Name': ['John_Larter', 'Robert_Junior', 'Jonny_Depp'], 'Age':[32, 34, 36]}) print("Given Dataframe is :\n",df) # Adding two new columns to the existing dataframe.# splitting is done on the basis of underscore.df[['First','Last']] = df.Name.str.split("_",expand=True) print("\n After adding two new columns : \n",df)
Use str.split(), tolist() function together.
# import Pandas as pd
import pandas as pd
# create a new data frame
df = pd.DataFrame({'Name': ['John_Larter', 'Robert_Junior', 'Jonny_Depp'],
'Age':[32, 34, 36]})
print("Given Dataframe is :\n",df)
print("\nSplitting Name column into two different columns :")
print(pd.DataFrame(df.Name.str.split('_',1).tolist(),
columns = ['first','Last']))
# import Pandas as pdimport pandas as pd # create a new data framedf = pd.DataFrame({'Name': ['John_Larter', 'Robert_Junior', 'Jonny_Depp'], 'Age':[32, 34, 36]}) print("Given Dataframe is :\n",df)print("\nSplitting Name column into two different columns :") print(pd.DataFrame(df.Name.str.split('_',1).tolist(), columns = ['first','Last']))
Method #2 : Using apply() function.
Split Name column into two different columns.
# import Pandas as pd
import pandas as pd
# create a new data frame
df = pd.DataFrame({'Name': ['John_Larter', 'Robert_Junior', 'Jonny_Depp'],
'Age':[32, 34, 36]})
print("Given Dataframe is :\n",df)
print("\nSplitting Name column into two different columns :")
print(df.Name.apply(lambda x: pd.Series(str(x).split("_"))))
# import Pandas as pdimport pandas as pd # create a new data framedf = pd.DataFrame({'Name': ['John_Larter', 'Robert_Junior', 'Jonny_Depp'], 'Age':[32, 34, 36]}) print("Given Dataframe is :\n",df)print("\nSplitting Name column into two different columns :") print(df.Name.apply(lambda x: pd.Series(str(x).split("_"))))
Split Name column into two different columns named as "First" and "Last" respectively and then add it to the existing Dataframe.
# import Pandas as pd
import pandas as pd
# create a new data frame
df = pd.DataFrame({'Name': ['John_Larter', 'Robert_Junior', 'Jonny_Depp'],
'Age':[32, 34, 36]})
print("Given Dataframe is :\n",df)
print("\nSplitting Name column into two different columns :")
# splitting 'Name' column into Two columns
# i.e. 'First' and 'Last'respectively and
# Adding these columns to the existing dataframe.
df[['First','Last']] = df.Name.apply(
lambda x: pd.Series(str(x).split("_")))
print(df)
# import Pandas as pdimport pandas as pd # create a new data framedf = pd.DataFrame({'Name': ['John_Larter', 'Robert_Junior', 'Jonny_Depp'], 'Age':[32, 34, 36]}) print("Given Dataframe is :\n",df)print("\nSplitting Name column into two different columns :") # splitting 'Name' column into Two columns # i.e. 'First' and 'Last'respectively and # Adding these columns to the existing dataframe.df[['First','Last']] = df.Name.apply( lambda x: pd.Series(str(x).split("_"))) print(df)
