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# Basic syntax:
your_dataframe.columns
# Note, if you want the column names as a list, just do:
list(your_dataframe.columns)
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import pandas as pd
# Assuming the DataFrame is stored in the 'df' variable
column_names = df.columns.tolist()
print(column_names)
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# 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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# Basic syntax:
list(df.columns)[column_number]
# This returns the column name of the column of interest
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# 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)
xxxxxxxxxx
import pandas as pd
# Assuming 'df' is the dataframe object
# Method 1: Using the 'columns' attribute
column_names = df.columns
print(column_names)
# Method 2: Converting columns to a list
column_names = list(df)
print(column_names)