select specific column names from dataframe
import pandas
data = pandas.DataFrame({'A' : ['X', 'Y'],
'B' : 1,
'C' : [2, 3]})
print data[['A', 'B']]
# Output A B
# 0 X 1
# 1 Y 1
select specific column names from dataframe
import pandas
data = pandas.DataFrame({'A' : ['X', 'Y'],
'B' : 1,
'C' : [2, 3]})
print data[['A', 'B']]
# Output A B
# 0 X 1
# 1 Y 1
python pandas return column name of a specific column
# Basic syntax:
list(df.columns)[column_number]
# This returns the column name of the column of interest
python select columns names from dataframe
# Import pandas package
import pandas as pd
# making data frame
data = pd.read_csv("nba.csv")
# iterating the columns
for col in data.columns:
print(col)
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