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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 rows
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python: select specific columns in a data frame

df = df[["Column_Name1", "Column_Name2"]]
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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']])
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get particular columns from dataframe

x, y = df.iloc[:, [0]], df.iloc[:, [1]]
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