Amount 0 250000 1 ₹40,000,000 2 ₹65,000,000 3 2000000 4 — ... ... 521 225000000 522 — 523 7500 524 ₹35,000,000 525 35000000 526 rows × 1 columns
我们如何将金额列与货币符号和金额列分开
qoefvg9y1#
您可以使用str.extract:
str.extract
df[['currency', 'Amount']] = df['Amount'].str.extract(r'(\D*)(\d.*)')
输出量:
Amount currency 0 250000 1 40,000,000 ₹ 2 65,000,000 ₹ 3 2000000 4 NaN NaN 521 225000000 522 NaN NaN 523 7500 524 35,000,000 ₹ 525 35000000
如果进一步需要转换为数字:
df['Amount'] = pd.to_numeric(df['Amount'].str.replace(',', ''))
Amount currency 0 250000.0 1 40000000.0 ₹ 2 65000000.0 ₹ 3 2000000.0 4 NaN NaN 521 225000000.0 522 NaN NaN 523 7500.0 524 35000000.0 ₹ 525 35000000.0
1条答案
按热度按时间qoefvg9y1#
您可以使用
str.extract
:输出量:
如果进一步需要转换为数字:
输出量: