Data types changing by itself

[dimas]

loc[0] contains Tail_Number, which is not a float. A numpy array must be homogeneous, so all types are converted to object when you create the series. There are ways around this as discussed here:

https://stackoverflow.com/questions/6264...-dataframe

Maybe the slice approach will work for you as it sounds like you are reassembling the rows back into dataframes.

arr_slice = arr.loc[0:0]
reassembled_df = pd.concat([list of arr slices])

It worked, thank you for your help!