pandas split by space
# importing pandas module
import pandas as pd
# new data frame with split value columns
data["Team"]= data["Team"].str.split(" ", n = 1, expand = True)
# df display
datapandas split by space
# importing pandas module
import pandas as pd
# new data frame with split value columns
data["Team"]= data["Team"].str.split(" ", n = 1, expand = True)
# df display
datahow to use split in pandas
import pandas as pd
# new data frame with split value columns
data["Team"]= data["Team"].str.split(" ", n = 1, expand = True)
# df display
datadataframe split column
df[['First','Last']] = df.Name.str.split(" ", expand=True)split coumn of df into multiple dynamic columns
d = [pd.DataFrame(df[col].tolist()).add_prefix(col) for col in df.columns]
df = pd.concat(d, axis=1)
id0 id1 id2 value0 value1 value2
0 10 10 NaN apple orange None
1 15 67 NaN banana orange None
2 12 34 45.0 apple banana orangesplitting column values in pandas
df[['A', 'B']] = df['AB'].str.split('@', 1, expand=True)
#'@' - Split at @
#1 = Axis 1 i.e on column levelCopyright © 2021 Codeinu
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