将 Pandas 列“价格”转换为 int 后，如何重新添加小数点？

Question

I used the code:

car_sales["Price"]=car_sales["Price"].int.replace('[\$\,\.]', '').astype(int)

to turn my dataframe column from an object to an int so I can plot it. Doing so has removed all symbols and turned them into empty strings including the decimal and now my prices has gone from $22,000.00 to 2200000 ($2,200,000).

How do I place the decimals back where they belong and keep my column as an int if possible?

I've tried decimals = pd.Series([2], index=['Price']) car_sales.round(decimals)

and nothing changed and other minor tweaks with no success.

Answer 1

Have you tried using something like this:

car_sales["Price"].str.replace('[$,]', '').astype(float).round(2)
# 0    22000.0
# 1    21000.0
# 2    22500.0
# 3    22100.0
# 4     2000.1
# Name: Price, dtype: float64

By not including the . symbol inside your replace, you don't need to rearranje the entire series to account for the removed decimals.