将一列对象值转换为浮点数或整数。ValueError：int() 的无效文字

Question

dfproduction = pd.read_csv('https://raw.githubusercontent.com/chessybo/Oil-Spill-map/master/Oil%20Spill%20Data%20-%20Crude%20Oil%2C%20Gas%20Well%20Liquids%20or%20Associated%20Products%20(H-8)/production%20data/Crude%20Oil%20Production%20and%20Well%20Counts%20(since%201935).csv', encoding='utf-8')

我想将此数据转换为数字（即列，“原油生产（Mbbl）”），例如 float 或 int。

目前 dtype 是对象

    print(dfproduction.dtypes)

MasterYear                                  int64

Crude Oil Production (Mbbl)                object

Daily Avg. Production (Mbbl/day)           object

Number of Producing Wells                  object

Percent Change in Production               object

Avg. Per Well Production (bbl/day)        float64

Crude Oil Reserves as of Jan. 1 (Mbbl)     object

info                                       object

dtype: object

然而，任何这样做的尝试都会导致某种形式的错误。

dfproduction['Crude Oil Production (Mbbl)'].astype('int')

ValueError: invalid literal for int() with base 10: '1,026,765'

dfproduction['Crude Oil Production (Mbbl)'].astype('float')

ValueError: could not convert string to float: '375,617'

更新：

问题是数字中的逗号，我删除了逗号并重新上传了数据。直到现在我收到以下错误..

UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa0 in position 83: invalid start byte

Answer 1

使用str.replace()删除逗号。dfproduction['Crude Oil Production (Mbbl)'].str.replace(r',', '').astype('int')