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Create empty dataframe pandas with column names

Code examples

5
0

add empty column to dataframe pandas 

>>> import numpy as np
>>> import pandas as pd
>>> df = pd.DataFrame({"A": [1,2,3], "B": [2,3,4]})
>>> df
   A  B
0  1  2
1  2  3
2  3  4
>>> df["C"] = ""
>>> df["D"] = np.nan
>>> df
   A  B C   D
0  1  2   NaN
1  2  3   NaN
2  3  4   NaN
5
0

create empty pandas dataframe 

df = pd.DataFrame(columns=['a', 'b', 'c'])
4
0

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: []
2
0

blank dataframe with column names 

df = pd.DataFrame(columns = column_names)

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