1
我目前有一個數據框,如下所示,我只想用Maturity
中的數字替換它們中的數字。例如,我想用0
等替換FZCY0D
。使用字符串中的數字替換數據幀列中的字符串
Date Maturity Yield_pct Currency
0 2009-01-02 FZCY0D 4.25 AUS
1 2009-01-05 FZCY0D 4.25 AUS
2 2009-01-06 FZCY0D 4.25 AUS
我的代碼如下,我試圖用數字替換這些字符串,但導致錯誤AttributeError: 'Series' object has no attribute 'split'
在該行result.Maturity.replace(result['Maturity'], [int(s) for s in result['Maturity'].split() if s.isdigit()])
。因此我很難理解如何做到這一點。
from pandas.io.excel import read_excel
import pandas as pd
import numpy as np
import xlrd
url = 'http://www.rba.gov.au/statistics/tables/xls/f17hist.xls'
xls = pd.ExcelFile(url)
#Gets rid of the information that I dont need in my dataframe
df = xls.parse('Yields', skiprows=10, index_col=None, na_values=['NA'])
df.rename(columns={'Series ID': 'Date'}, inplace=True)
# This line assumes you want datetime, ignore if you don't
#combined_data['Date'] = pd.to_datetime(combined_data['Date'])
result = pd.melt(df, id_vars=['Date'])
result['Currency'] = 'AUS'
result.rename(columns={'value': 'Yield_pct'}, inplace=True)
result.rename(columns={'variable': 'Maturity'}, inplace=True)
result.Maturity.replace(result['Maturity'], [int(s) for s in result['Maturity'].split() if s.isdigit()])
print result
的'分裂()'方法是針對單個字符串的;它會返回一個由空格分隔的字符串列表。 – chrisaycock