我正在尝试使用正则表达式从子字符串中提取美元金额。负数在字符串末尾带有“ CR”，表示负数。金额包含在一个单栏的csv文件中，标题为“说明”。以下是一些示例订单项：
description
Account Total: 26,458.16 7,476,744.04 7,484,287.03 7,542.99CR 18,915.17
Account Total: 27,218.61 7,719,293.26 7,740,051.63 20,758.37CR 6,460.24
Account Total: .00 7,634,750.07 39,055.35 7,595,694.72 7,595,694.72
Account Total: 64,249.00 .00 64,249.00 64,249.00CR .00
理想的结果是一个数据框，其中每个数量都包含在带有以下标题的单独列中：“ Beg_bal”，“ Total_cr”，“ Total_db”，“ Net_ch”和“ Ending_bal”我尝试了以下代码，但结果为“ nan”值：
pat=r'^(?P<Beg_bal>\$?(?:\d+,)*\d+\.\d+)\s+(?P<Total_cr>\$?(?:\d+,)*\d+\.\d+)\s+(?P<Total_db>\$?(?:\d+,)*\d+\.\d+)\s+(?P<Net_ch>\$?(?:\d+,)*\d+\.\d+)\s+(?P<Ending_bal>\$?(?:\d+,)*\d+\.\d+)'
df[['Beg_bal','Total_cr','Total_db','Net_ch','Ending_bal']]=df['description'].str.extract(pat)
在此先感谢您，一如既往的帮助。
您可以使用str.split，删除前两列，因为它们包含“帐户”和“总计：，并根据需要重命名剩余的列]
df_ = df['description'].str.split('\s+', expand=True).iloc[:, 2:]
df_.columns = ['Beg_bal', 'Total_cr', 'Total_db', 'Net_ch', 'Ending_bal']
print (df_)
Beg_bal Total_cr Total_db Net_ch Ending_bal
0 26,458.16 7,476,744.04 7,484,287.03 7,542.99CR 18,915.17
1 27,218.61 7,719,293.26 7,740,051.63 20,758.37CR 6,460.24
2 .00 7,634,750.07 39,055.35 7,595,694.72 7,595,694.72
3 64,249.00 .00 64,249.00 64,249.00CR .00
您可以这样做：
df = pd.read_csv('test.csv', sep='|')
df = df['description'].str.split(r' *').apply(pd.Series).drop(columns=[0])
df.columns = [['Beg_bal','Total_cr','Total_db','Net_ch','Ending_bal']]
print(df)
Beg_bal Total_cr Total_db Net_ch Ending_bal
0 26,458.16 7,476,744.04 7,484,287.03 7,542.99CR 18,915.17
1 27,218.61 7,719,293.26 7,740,051.63 20,758.37CR 6,460.24
2 .00 7,634,750.07 39,055.35 7,595,694.72 7,595,694.72
3 64,249.00 .00 64,249.00 64,249.00CR .00