問題描述

我的代碼的目的是導入 2 個 Excel 文件，比較它們，然后將差異打印到一個新的 Excel 文件中.

The purpose of my code is to import 2 Excel files, compare them, and print out the differences to a new Excel file.

但是，在連接所有數據并使用 drop_duplicates 函數后，代碼會被控制臺接受.但是，當打印到新的 excel 文件時，當天仍會保留重復項.

However, after concatenating all the data, and using the drop_duplicates function, the code is accepted by the console. But, when printed to the new excel file, duplicates still remain within the day.

我錯過了什么嗎?drop_duplicates 函數是否無效?

Am I missing something? Is something nullifying the drop_duplicates function?

我的代碼如下:

import datetime
import xlrd
import pandas as pd
#identify excel file paths
filepath = r"excel filepath"
filepath2 = r"excel filepath2"
#read relevant columns from the excel files
df1 = pd.read_excel(filepath, sheetname="Sheet1", parse_cols= "B, D, G, O")
df2 = pd.read_excel(filepath2, sheetname="Sheet1", parse_cols= "B, D, F, J")
#merge the columns from both excel files into one column each respectively
df4 = df1["Exchange Code"] + df1["Product Type"] + df1["Product Description"] + df1["Quantity"].apply(str)
df5 = df2["Exchange"] + df2["Product Type"] + df2["Product Description"] + df2["Quantity"].apply(str)
#concatenate both columns from each excel file, to make one big column containing all the data
df = pd.concat([df4, df5])
#remove all whitespace from each row of the column of data
df=df.str.strip()
df=["".join(x.split()) for x in df] 
#convert the data to a dataframe from a series
df = pd.DataFrame({'Value': df}) 
#remove any duplicates
df.drop_duplicates(subset=None, keep="first", inplace=False)
#print to the console just as a visual aid
print(df)
#print the erroneous entries to an excel file
df.to_excel("Comparison19.xls") 

推薦答案

你有 inplace=False 所以你沒有修改 df.你想要一個

You've got inplace=False so you're not modifying df. You want either

 df.drop_duplicates(subset=None, keep="first", inplace=True)

或

 df = df.drop_duplicates(subset=None, keep="first", inplace=False)

這篇關于drop_duplicates 在 pandas 中不起作用?的文章就介紹到這了，希望我們推薦的答案對大家有所幫助，也希望大家多多支持html5模板網！