将数据框列从 Object 转换为 float 或 int

Question

I want to convert the dtype of several dataframe columns from the default when read in from CSV:

DF = pd.read_csv('data.csv', encoding = 'ISO-8859-1',
    usecols = ['Email ID','Total CTC'], dayfirst = True, parse_dates=True)

DF.dtypes

Email ID       object
GDOJ           object
Total CTC      object
dtype: object

1. trying to convert Total CTC to float :-

DF['Total CTC'] = DF['Total CTC'].astype(float)
ValueError: could not convert string to float: '69,608.00'

2. trying to convert Total CTC to int :-

DF['Total CTC'] = DF['Total CTC'].astype(int)
ValueError: invalid literal for int() with base 10: '69,608.00'

3. HR['Total CTC'].apply(lambda x:x.dtype)

AttributeError: 'str' object has no attribute 'dtype'

please suggest solution.

I want create one new column with multiply this column and another column where value is 5

Answer 1

您可以像这样转换列：

DF['Total CTC'] = DF['Total CTC'].str.replace(',' ,'').astype(float)