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Initialize pandas dataframe with column names

Create dataframe with column names pandas

In [4]: import pandas as pd
In [5]: df = pd.DataFrame(columns=['A','B','C','D','E','F','G'])
In [6]: df
Out[6]:
Empty DataFrame
Columns: [A, B, C, D, E, F, G]
Index: []

Source: stackoverflow.com

Create empty pandas dataframe

df = pd.DataFrame(columns=['a', 'b', 'c'])

Initialize pandas dataframe with column names

column_names = ["a", "b", "c"]
df = pd.DataFrame(columns = column_names)

Source: kite.com

Python initialise dataframe

import pandas as pd

data = [[0, 0, 0] , [1, 1, 1]]
columns = ['A', 'B', 'C']
df = pd.DataFrame(data, columns=columns)

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