Pandas: convert dtype 'object' to int

Question

I\'ve read an SQL query into Pandas and the values are coming in as dtype \'object\', although they are strings, dates and integers. I am able to convert the date \'object\'

Answer 1

Follow these steps:

1.clean your file -> open your datafile in csv format and see that there is "?" in place of empty places and delete all of them.

2.drop the rows containing missing values e.g.:

df.dropna(subset=["normalized-losses"], axis = 0 , inplace= True)

3.use astype now for conversion

df["normalized-losses"]=df["normalized-losses"].astype(int)

Note: If still finding erros in your program then again inspect your csv file, open it in excel to find whether is there an "?" in your required column, then delete it and save file and go back and run your program.

comment success! if it works. :)

Answer 2

Documenting the answer that worked for me based on the comment by @piRSquared.

I needed to convert to a string first, then an integer.

>>> df['purchase'].astype(str).astype(int)