当我使用 DataFrame 输出列时，为什么我的数据输出中的值是 NaN？

Question

**Pictures of my code: ** My code/problem

Question 1: So it's basically the title. I have a data set that I made in .xlsx format that has numeric values for things like population or area, but when I try to output a single column it shows all my values as NaN.

Question 2: If I get to solve this problem, how could I convert all the floats from a column into integers?

Note: I'm coding on Google Colaboratory.

Answer 1

1. Population column does not exist, it's population (2020) , and population variable already exists (cell 308), what do you try to do in cell 309 with df ?

2. data['population (2020)'].astype('int') (first verify if this column is float and not str )