What’s the easiest way to add an empty column to a pandas DataFrame
object? The best I’ve stumbled upon is something like
df['foo'] = df.apply(lambda _: '', axis=1)
Is there a less perverse method?
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Answer
If I understand correctly, assignment should fill:
>>> 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