col_names = list(df.columns)
lists = data.columns.to_list()
# Basic syntax:
your_dataframe.columns
# Note, if you want the column names as a list, just do:
list(your_dataframe.columns)
lst = data.columns.values # data is dataframe
print(data.columns.values)
# Import pandas package
import pandas as pd
# making data frame
data = pd.read_csv("nba.csv")
# list(data) or
list(data.columns)
# 5. Getting column names
df.columns.tolist()
# 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)
>>> 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