python extract specific columns from pandas dataframe
# Basic syntax:
new_dataframe = dataframe.filter(['col_name_1', 'col_name_2'])
# Where the new_dataframe will only have the column names specified
# Note, use df.filter(['names', ... ], axis=0] to select rowspython: select specific columns in a data frame
df = df[["Column_Name1", "Column_Name2"]]pandas iloc select certain columns
dataframe.iloc[:,[1,2]]select columns pandas
df1 = df.iloc[:,0:2] # Remember that Python does not slice inclusive of the ending index.how to get only certain columns in pandas
#only the column names specified will be put into the new sub df
#enter a minimum of one column name
print(df[['column_name_1', 'column_name_2', ... , 'column_name_n']])Copyright © 2021 Codeinu
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