如何使用Python Pandas（Dataframes）从多个Excel文件中删除前4行 [英] How to delete the first 4 rows from multiple excel files using python pandas (Dataframes)

问题描述

当前，我正在编写一个包含多个excel电子表格的程序。

Currently I am writing a program that combines multiple excel spreadsheets.

我想知道如何在合并每个电子表格之前删除前4行。下面是尝试删除前4行的特定语句，但出现错误。

I would like to know how to delete the first 4 rows from every spreadsheet before combining them. Below is the specific statement attempting to delete the first 4 rows but I am getting an error.

frames[0:] = [df.drop(df.index[[0,3]]) for df in frames[0:]]

下面是完整程序

import tkinter as tk
from tkinter import filedialog
from pathlib import Path
import pandas as pd

root = tk.Tk()
root.withdraw()

files = filedialog.askopenfilenames()
print("--------------")
print(files)
ExcelFileNames = [Path(x).name for x in files]
print("--------------")
print(type(ExcelFileNames))
print("--------------")
print(ExcelFileNames)
print("--------------")
print (ExcelFileNames[0])
print("--------------")
print("Number of files is:", len(ExcelFileNames))

# read them in
excels = [pd.ExcelFile(name) for name in ExcelFileNames]

# turn them into dataframes
frames = [x.parse(x.sheet_names[0], header=None,index_col=None) for x in excels]


frames[0:] = [df.drop(df.index[[0,3]]) for df in frames[0:]]
# delete the first row for all frames except the first
# i.e. remove the header row -- assumes it's the first
frames[1:] = [df[1:] for df in frames[1:]]

# concatenate them..
combined = pd.concat(frames)

# write it out
combined.to_excel("DNcombined.xlsx", header=False, index=False)

推荐答案

IIUC，

您可以添加 skiprows 转到您的参数，以跳过这些行，同时循环浏览列表。

you can add skiprows to your argument to skip these rows whilst looping over your list.

# read them in
excels = [pd.ExcelFile(name) for name in ExcelFileNames]

# turn them into dataframes
frames = [x.parse(x.sheet_names[0], header=None,index_col=None, skiprows=4) for x in excels]

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