Question

我有以下格式的时间戳列表： 2018-23-01

我从八月到八月每五分钟生成一次时间戳记。该生成是自动完成的。

我有一个已捕获并需要处理的.bz2格式文件列表，有些文件丢失且没有数据，我需要在熊猫框架中将其对应的行留空。< / p>

例如，我有Sensor1，Sensor2，Sensor3。时间戳大于Sensor1的值。

我尝试附加到数据框时出现以下错误。

ValueError: Length of values does not match length of index

这是我处理文件的方式

hours_counter = 0
    minutes_counter = 0
    days_counter = 0
    for j in range(90):
        days_counter = days_counter + 1
        if days_counter > 23:
            days_counter = 0
        for i in range(360):
            minutes_counter = minutes_counter + 15
            if minutes_counter == 45:
                minutes_counter = 0
                hours_counter = hours_counter + 1

            s = datetime.strptime('2018-08-21', '%Y-%m-%d') + timedelta(hours=hours_counter, minutes=minutes_counter, days= days_counter)
            timeStamps.append(s)
            path = os.path.join(r'C:\\ahmed\\SpeedFT-meter1\\peakdata\\'+ s.strftime("%Y-%m-%d")+ r'\\peakdata_' + s.strftime("%Y%m%d_%H%M") + r'.bz2')
            print(path)
            directoary_names.append(path)






  for idx in range(len(directoary_names)):
        process_data(directoary_names[idx], i, directoary_names)
        i = i + 1

写入到excel文件中，这只会导致传感器数据异常，时间戳是可以确定的

        general_pd['TimeStamp'] = timeStamps
        general_pd['C_strain_COY'] = S1
        general_pd['C_strain_CUY'] = S3
        general_pd['C_strain_ROX'] = S4
        general_pd['C_strain_CUX'] = S5
        general_pd['C_strain_CMX'] = S6
        general_pd['C_strain_COX'] = S7
        general_pd['C_temp_CUY'] = T1
        general_pd['C_temp_COY'] = T2
        general_pd['C_temp_CUX'] = T3
        general_pd['C_temp_CMX'] = T4
        general_pd['C_temp_COX'] = T5
        writer = pd.ExcelWriter(r'c:\ahmed\median_data_meter_1.xlsx', engine='xlsxwriter')
        # Convert the dataframe to an XlsxWriter Excel object.
        general_pd.to_excel(writer, sheet_name='Sheet1')

将空行追加到熊猫数据框

0 个答案: