votes up 3

cannot concatenate unaligned mixed dimensional NDFrame objects

github stars 30911
Exception Class:

Raise code

in objs:

                ndim = obj.ndim
                if ndim == max_ndim:

                elif ndim != max_ndim - 1:
                    raise ValueError(
                        "cannot concatenate unaligned mixed "
                        "dimensional NDFrame objects"

                    name = getattr(obj, "name", None)
                    if ignore_index or name is None:
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Ways to fix

votes up 1 votes down

pd.concat concatenates pandas objects along a particular axis with optional set logic along the other axes.

It's possible to concatenate Series or DataFrame each other. Depend on their dimension, the operation can be done. But when trying to concatenate mixed dimensional NDFrame object, it becomes an error. Concatenate of the sequential dimensional object is allowed.


import pandas as pd 

df1 = pd.DataFrame([['a'1], ['b'2]],

df2 = pd.DataFrame([['c'3], ['d'4]],

conci = pd.concat([df1,df2],axis=1)

But if you want to try to concatenate 1D and 3D DataFrame, that will cause an error.

elif ndim != max_ndim - 1:
    raise ValueError(
        "cannot concatenate unaligned mixed "
        "dimensional NDFrame objects"

When max_ndim (maximum dimension in list of DataFrame or Series) is 3 and ndim (current object which is iterated) is 1, the result will be 1!=2 i.e return to True and will be thrown an error.

Jul 24, 2021 anonim answer
anonim 13.0k

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