如何从float dtype对象中删除“ $”符号，但在Pandas中包含带有“ $”符号的值

如何解决如何从float dtype对象中删除“ $”符号，但在Pandas中包含带有“ $”符号的值

我从Excel文件中导入了以下dataframe。 “市值”和“最后一笔交易”列均显示浮动类型，但在值前面包含$符号。我认为这很奇怪（任何解释？）。当我尝试使用.replace摆脱$时方法，因为列是浮点型，所以不会产生结果。

在导入Excel工作表时，是否可以直接摆脱$符号？或者，如何删除它而不实际将类型转换为字符串格式（因为那之后，我必须在删除$符号后将列重新转换为再次浮动）。赞赏输入。

amex = pd.read_excel('listings.xlsx',sheet_name='amex',na_values='n/a')
print(amex.info())
print(amex.head())
    
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 360 entries,0 to 359
Data columns (total 7 columns):
#   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
0   Stock Symbol           360 non-null    object 
1   Company Name           360 non-null    object 
2   Last Sale              346 non-null    float64
3   Market Capitalization  360 non-null    float64
4   IPO Year               105 non-null    float64
5   Sector                 238 non-null    object 
6   Industry               238 non-null    object 
    dtypes: float64(3),object(4)
    memory usage: 19.8+ KB
    None
    
    Stock Symbol    Company Name    Last Sale   Market Capitalization   IPO Year    Sector  Industry
0   XXII    22nd Century Group,Inc     $1.33   $120,628,490.29     $nan    Consumer Non-Durables   Farming/Seeds/Milling
1   FAX     Aberdeen Asia-Pacific Income Fund Inc   $5.00   $1,266,332,595.00   $1,986.00   NaN     NaN
2   IAF     Aberdeen Australia Equity Fund Inc  $6.15   $139,865,304.90     $nan    NaN     NaN
3   CH  Aberdeen Chile Fund,Inc.   $7.22   $67,563,457.57  $nan    NaN     NaN
4   ABE     Aberdeen Emerging Markets Smaller Company Oppo...   $13.36  $128,842,971.60     $nan    NaN     NaN

解决方法

在.replace之后，使用.astype(float)将替换字符串转换为float：

df['col_name'] = df['col_name'].str.replace('$','').astype(float)

,

尝试一下：

df['Last Sale'] = pd.to_numeric(df['Last Sale'].str.replace('$',''))
df['Market Capitalization'] = df['Market Capitalization'].str.replace('[\$,]','',regex=True)
df['IPO Year'] = df['IPO Year'].str.replace('\$nan','')
df['IPO Year'] = pd.to_numeric(df['IPO Year'].str.replace('[\$,''))

print(df)


  Stock Symbol                                       Company Name  Last Sale Market Capitalization  IPO Year                 Sector               Industry
0         XXII                            22nd Century Group,Inc       1.33          120628490.29       NaN  Consumer Non-Durables  Farming/Seeds/Milling
1          FAX              Aberdeen Asia-Pacific Income Fund Inc       5.00         1266332595.00    1986.0                    NaN                    NaN
2          IAF                 Aberdeen Australia Equity Fund Inc       6.15          139865304.90       NaN                    NaN                    NaN
3           CH                          Aberdeen Chile Fund,Inc.       7.22           67563457.57       NaN                    NaN                    NaN
4          ABE  Aberdeen Emerging Markets Smaller Company Oppo...      13.36          128842971.60       NaN                    NaN                    NaN