Question

我试图简单地将TimeStamp列更改为timedelta对象，以便我可以使用 resample 平均超过2分钟。

列名可能因设备软件而异，因此我将其分配给变量，但代码不能正常工作

示例数据集：

TimeStamp   340         341          342
10:27:30    1.953036    2.110234    1.981548
10:28:30    1.973408    2.046361    1.806923
10:29:30    0           0           0.014881
10:30:30    2.567976    3.169928    3.479591

我尝试的代码如下：

import pandas as pd
from datetime import datetime

def time_based_average(dataframe, duration):
    df_resampled = dataframe.resample(str(duration) + 'min').mean()
    return df_resampled

# Reading data as pandas dataframes
path = '/Users/Desktop/Model/'
file_1 = 'SR Lamp.csv'

df_1 = pd.read_csv(path + file_1, skipinitialspace = True)

# Determine col label for timestamps
time_lab_1 = df_1.columns[0]


# Converting times to timedalta objects
pd.to_timedelta(df_1[time_lab_1])


# Average every 2min for the device
df_1_resampled = time_based_average(df_1, 2)

Answer 1

使用pd.to_timedelta

df.index = pd.to_timedelta(df.index)
df.resample('2T').mean()

                340       341       342
TimeStamp                              
10:27:30   1.963222  2.078298  1.894235
10:29:30   1.283988  1.584964  1.747236
10:31:30        NaN       NaN       NaN

不设置索引

df.TimeStamp = pd.to_timedelta(df.TimeStamp)
df.resample('2T', on='TimeStamp').mean().reset_index()

  TimeStamp       340       341       342
0  10:27:30  1.963222  2.078298  1.894235
1  10:29:30  1.283988  1.584964  1.747236
2  10:31:30       NaN       NaN       NaN

Pandas dataframe col转换为timedelta以使用resample

1 个答案: