Pandas concat: ValueError: Shape of passed values is blah, indices imply blah2

Question

I\'m trying to merge a (Pandas 14.1) dataframe and a series. The series should form a new column, with some NAs (since the index values of the series are a subset of the ind

Answer 1

Your indexes probably contains duplicated values.

import pandas as pd

T1_INDEX = [
    0,
    1,  # <= !!! if I write e.g.: "0" here then it fails
    0.2,
]
T1_COLUMNS = [
    'A', 'B', 'C', 'D'
]
T1 = [
    [1.0, 1.1, 1.2, 1.3],
    [2.0, 2.1, 2.2, 2.3],
    [3.0, 3.1, 3.2, 3.3],
]

T2_INDEX = [
    1.2,
    2.11,
]

T2_COLUMNS = [
    'D', 'E', 'F',
]
T2 = [
    [54.0, 5324.1, 3234.2],
    [55.0, 14.5324, 2324.2],
    # [3.0, 3.1, 3.2],
]
df1 = pd.DataFrame(T1, columns=T1_COLUMNS, index=T1_INDEX)
df2 = pd.DataFrame(T2, columns=T2_COLUMNS, index=T2_INDEX)


print(pd.concat([pd.DataFrame({})] + [df2, df1], axis=1))