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 read excel certain columns
df = pd.read_excel(file_location,sheet_name='Sheet1', usecols="A,C,F")pandas read excel certain columns
import pandas as pd
import numpy as np
file_loc = "path.xlsx"
df = pd.read_excel(file_loc, index_col=None, na_values=['NA'], usecols = "A,C:AA")
print(df)Copyright © 2021 Codeinu
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