如何使用python熊猫（Dataframes）从多个excel文件中删除前4行

目前，我正在编写一个程序，它结合了多个excel电子表格

我想知道如何在合并前从每个电子表格中删除前4行。下面是试图删除前4行的特定语句，但我得到一个错误

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

下面是完整的程序

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)

IIUC

您可以添加到参数中，在循环列表时跳过这些行

# 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]

---

这起作用了，我将skiprows=14更改为skiprows 4，以跳过前4个。当我使用多个数据帧时，我会继续尝试让dropframes正常工作，但是我真的很感谢你的帮助@JhangirAwan您可以使用

.iloc

并将其过滤掉，但是如果不查看示例数据的外观，很难说。对不起，我以为我读了14！为什么不

df[3:][/code>？