Power Bi change dataFrame Data

[Anonymous]

When i use a python script as data source it changes some values, for example if i have a 1.0 when i load the DataFrame in power Bi it'll show me 10.

How can i make power Bi respect the data types from the original dataFrame?

Thanks for the help.

import numpy as np
import pandas as pd

df2 = pd.DataFrame(
     {
         "A": 1.0,
         "B": pd.Timestamp("20130102"),
         "C": pd.Series(1, index=list(range(4)), dtype="float32"),
         "D": np.array([3] * 4, dtype="int32"),
         "E": pd.Categorical(["test", "train", "test", "train"]),
         "F": "foo",
    }
)

[amitchandak · Accepted solution]

@Anonymous , I ran the same script and I am getting 1.0 (only added pandas).

Check for any transformation in power query 

[amitchandak · Accepted solution]

@Anonymous , I ran the same script and I am getting 1.0 (only added pandas).

Check for any transformation in power query 

[Anonymous · Accepted solution]

Thanks.

That was the error, i had to chanege my regional configuration for one that used "." insted of "," to separete decimals.