Question

我需要把df_filter写成excell。一切都完成了。在最后一步，我正在努力。请完全需要帮助

在此我试图读取目录中的excel文件列表。
进行过滤（来自config.csv）
需要写'df_filter'来excel下面的代码我试过了。我正在使用工作表函数很多次。每次迭代df_filter写入excel

码

 df_filter = pd.DataFrame(columns=['packetsize', 'throughput', 'latency (us)', 'jitter (us)'])
    def sheets(val):

    s = wb.worksheets[val]

    HeaderList = pd.read_csv(config_path)

    column_list = []
    for col in HeaderList:
        col = col.lstrip("'")
        col = col.rstrip("'")
        column_list.append(col)

    df1 = xl.parse(sheet_list[val], skiprows=i)
    df1 = df1.filter(column_list)

    df2 = df1[(df1['Result'] != 'Failed') & (df1['Frame Size Type'] == 'iMIX')]

    if df2.empty:
        pass
    else:
        final3 = df2.groupby(['Trial Number', 'iMIX Distribution'], sort=False).apply(lambda x: x.loc[x['Throughput (%)'].idxmax()])

        final = df2.groupby(['iMIX Distribution'], sort=False).apply(lambda x: x.loc[x['Throughput (%)'].idxmax()])
        df_filter['packetsize'] = final.apply(lambda z: '%s' % (z['iMIX Distribution']), axis=1)


        df_filter['throughput'] = final.apply(lambda z: '%s' % (z['Throughput (%)']), axis=1)
        df_filter['latency (us)'] = final.apply(lambda x: '%s/%s/%s' % (x['Minimum Latency (us)'], x['Maximum Latency (us)'], x['Average Latency (us)']),axis=1)
        df_filter['jitter (us)'] = final.apply(lambda y: '%s/%s/%s' % (y['Minimum Jitter (us)'], y['Maximum Jitter (us)'], y['Average Jitter (us)']),axis=1)
        #return df_filter

将变量写入excel

0 个答案: