df.rename的用法
存在这样一个CSV文件,想读入文件后,将其列名进行修改,并再写到CSV中.
日期,收盘changeColName,涨跌幅,换手率,振幅,内盘成交量,外盘成交量,金额流入率,大单流入资金,大单流出资金,超大单流入资金,超大单流出资金,大单金额流入率,超大单金额流入率 2010-01-04,47.3,-3.272,0.69437708,0.037423313,,,-8.099998782,56272128,63797540,1235515,2807990,-6.699998366,-1.400000416 2010-01-05,46.65,-1.3742,1.009538457,0.026638478,,,-7.000001914,84605408,97264176,16183990,14741852,-7.900002071,0.900000157 2010-01-06,46.84,0.4073,0.941143214,0.019506967,,,-1.199996446,72186448,86293568,44122280,31816064,-9.399997926,8.20000148 2010-01-07,45.85,-2.1136,0.553292649,0.023270709,,,0.799993095,41697248,48400152,12012986,4613683,-7.700006626,8.499999721 2010-01-08,46.69,1.8321,0.891040511,0.033805889,,,1.800001548,52810168,49703684,55069420,55634236,2.200002522,-0.400000974
python代码如下:
# -*- coding: UTF-8 -*- import numpy as np import pandas as pd colName = { ‘日期‘ : ‘Date‘, ‘开盘价‘ : ‘Open‘, ‘收盘价‘ : ‘Close‘, ‘最高价‘ : ‘High‘, ‘最低价‘ : ‘Low‘, ‘涨跌‘ : ‘UpPrice‘, ‘涨跌幅‘ : ‘UpPercent‘, ‘三日均涨幅‘ : ‘MUpPert3‘, ‘五日均涨幅‘ : ‘MUpPert5‘, ‘十日均涨幅‘ : ‘MUpPert10‘, ‘成交量‘ : ‘Volumn‘, ‘振幅‘ : ‘Amplitude‘, ‘换手率‘ : ‘TurnOver‘, ‘内盘成交量‘: ‘BuyVol‘, ‘外盘成交量‘ : ‘SellVol‘, ‘金额流入率‘ : ‘CapitalInRate‘, ‘大单流入资金‘ : ‘BigCapitalIn‘, ‘大单流出资金‘ : ‘BigCapitalOut‘, ‘大单金额流入率‘ : ‘BigCapitalInRate‘, ‘超大单流入资金‘ : ‘SuperBigCapitalIn‘, ‘超大单流出资金‘ : ‘SuperBigCapitalOut‘, ‘超大单金额流入率‘ : ‘SuperBigCapitalInRate‘, ‘大单买盘成交量‘ : ‘BigBuyVolumn‘, ‘大单卖盘成交量‘ : ‘BigSellVolumn‘, ‘超大单买盘成交量‘ : ‘SuperBigBuyVolumn‘, ‘超大单卖盘成交量‘ : ‘SuperBigSellVolumn‘ } def write_to_csv(filePath, date, test_x, test_y): index = {"date" : date,"predict" : test_x, "real" : test_y} csv = pd.DataFrame(index) csv.to_csv(filePath) def changeColName(all_data): columns = all_data.columns all_data.rename(columns=lambda x: colName.get(x, x), inplace = True) print all_data.columns print columns return all_data def preProcessData(filePath): all_data = pd.read_csv(filePath) changeColName(all_data) all_data.to_csv(‘captionlocal.csv‘) return all_data all_data = preProcessData(‘caption.csv‘)
原文地址:https://www.cnblogs.com/yicheng-bangbang/p/8780408.html
时间: 2024-10-10 16:52:23