將數據框列從 Object 轉換為 float 或 int

Question

當從 CSV 讀入時，我想從默認值轉換幾個數據框列的 dtype：

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. 嘗試將Total CTC轉換為float ：-

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

2. 試圖將Total CTC轉換為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'

請提出解決方案。

我想創建一個新列，將此列乘以另一列，其中值為 5

Answer 1

您可以像這樣轉換列：

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