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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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>>> import pandas
>>> # create three rows of [0, 1, 2]
>>> df = pandas.DataFrame([range(3), range(3), range(3)])
>>> print df
0 1 2
0 0 1 2
1 0 1 2
2 0 1 2
>>> my_columns = ["a", "b", "c"]
>>> df.columns = my_columns
>>> print df
a b c
0 0 1 2
1 0 1 2
2 0 1 2
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import pandas as pd
# Create a sample dataframe
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]})
# Print all column names
print(df.columns)