Initializing dataframe with a constant value does not work,
pd.DataFrame(0, index=[1,2,3]) # doesnt work!
# OR
pd.DataFrame(0) # doesnt work!
whereas I observe that
(1) Initializing Series with a constant value works
pd.Series(0, index=[1,2,3]) # Works fine!
(2) Initializing DataFrame with None works
pd.DataFrame(None, index=[1,2,3]) # Works fine!
(3) Initializing DataFrame when index and columns are not provided works
pd.DataFrame([1, 2, 3]) # Works fine!
pd.DataFrame([0]) # Works fine!
Does anyone know why?
I am keen to know more from a design consideration, rather than an answer like "if you check the pandas code, you'd see that it fails one of the checks where the data dimension is expected to be >1.. blah blah".
I think it should just work intuitively (considering that pandas is intelligent in assigning a default col and index when not provided, and also guesses the dimensions from the data given).
May be there is some reason for this behaviour but can't figure.