问如何将cpu命令的输出写入excel文件
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Stack Overflow用户

提问于 2020-03-04 21:08:24

回答 2查看 196关注 0票数 0

我想为cpu%创建一个python脚本，每5秒运行一次，并输出到excel文件中。我已经成功地运行了脚本一次，它在excel中的输出如下所示。如何每5秒重复一次，并将值插入excel，而不是头名。请帮助我刚开始学习蟒蛇。产出-

在这里输入图像描述

import pandas as pd
from pandas import ExcelWriter
from pandas import ExcelFile
import numpy as np
import psutil
CPU = psutil.cpu_percent(interval=1)
df = pd.DataFrame({'CPU': [CPU]})

writer = ExcelWriter(r'C:\Users\kumardha\Desktop\DK_TEST\Pandas3.xlsx')
df.to_excel(writer,'Sheet1',index=False)
writer.save()

python

python-3.x

pandas

python-2.7

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回答 2

Stack Overflow用户

回答已采纳

发布于 2020-03-05 01:54:20

我想这正是你所期望的。

import pandas as pd
import numpy as np
import psutil
import time
from openpyxl import load_workbook

def append_df_to_excel(filename, df, sheet_name='Sheet1', startrow=None,
                              truncate_sheet=False, 
                              **to_excel_kwargs):




    # ignore [engine] parameter if it was passed
    if 'engine' in to_excel_kwargs:
        to_excel_kwargs.pop('engine')

    writer = pd.ExcelWriter(filename, engine='openpyxl')

    # Python 2.x: define [FileNotFoundError] exception if it doesn't exist 
    try:
        FileNotFoundError
    except NameError:
        FileNotFoundError = IOError


    try:
        # try to open an existing workbook
        writer.book = load_workbook(filename)

        # get the last row in the existing Excel sheet
        # if it was not specified explicitly
        if startrow is None and sheet_name in writer.book.sheetnames:
            startrow = writer.book[sheet_name].max_row

        # truncate sheet
        if truncate_sheet and sheet_name in writer.book.sheetnames:
            # index of [sheet_name] sheet
            idx = writer.book.sheetnames.index(sheet_name)
            # remove [sheet_name]
            writer.book.remove(writer.book.worksheets[idx])
            # create an empty sheet [sheet_name] using old index
            writer.book.create_sheet(sheet_name, idx)

        # copy existing sheets
        writer.sheets = {ws.title:ws for ws in writer.book.worksheets}
    except FileNotFoundError:
        pass

    if startrow is None:
        startrow = 0
    df.to_excel(writer, sheet_name, startrow=startrow,**to_excel_kwargs)

    # save the workbook
    writer.save()


def repeat(seconds,filename): 
    first_time=True
    while True: 
        CPU = psutil.cpu_percent(interval=1)
        df = pd.DataFrame({'CPU': [CPU]})
        s = str(CPU)
        b = print(s +' is current cpu at time '+time.ctime())
        if first_time:
            append_df_to_excel(filename,df,sheet_name='Sheet1',index=False)
            first_time=False
        else:
            append_df_to_excel(filename,df,sheet_name='Sheet1',header=False,index=False)
        time.sleep(seconds)

filename='path to filename'
repeat('delay you want in seconds',filename)