使用 Pandas 时如何从 CSV 文件列中删除 1000 个分隔符？

Question

I'm handling a CSV file with several columns and rows. The values in my CSV file are integers with 1000 separator like 99 999 and 87 222. I'm trying to calculate mean values but I'm getting an error Exception has occurred: DataError No numeric types to aggregate and I'm pretty sure it is because of the 1000 separators in my values.

data = pd.read_csv('newdata.csv', sep = ";", skiprows=[0], skipinitialspace=True)

That doesn't fix my problem. I have also tried data["First title"] = data["First title"].str.strip() for every column but that didn't work either.

Better ideas? Thanks!

Answer 1

The pandas read_csv method has a "thousands" optional parameter, which you could use to indicate what this thousands separator is.

Hence, you can use something like

df = pd.read_csv('newdata.csv', sep = ";", thousands = ' ')

to handle your data input.