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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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extract one column from dataframe python

import pandas as pd

input_file = "C:....consumer_complaints.csv"
dataset = pd.read_csv(input_file)
df = pd.DataFrame(dataset)
cols = [1,2,3,4]
df = df[df.columns[cols]]
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get particular columns from dataframe

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