计算索引的 Pandas df timedelta

Question

Would anyone know how to calculate the time delta of the time stamp of the index?

import pandas as pd
import numpy as np

# simulate some data
# ===================================
np.random.seed(0)
dt_rng = pd.date_range('2015-03-02 00:00:00', '2015-07-19 23:00:00', freq='T')
dt_idx = pd.DatetimeIndex(np.random.choice(dt_rng, size=2000, replace=False))
df = pd.DataFrame(np.random.randn(2000), index=dt_idx, columns=['col']).sort_index()

df

Am I on track using df['elapsed_time'] = pd.TimedeltaIndex(df) at all with this ?

This will throw an error: ValueError: Wrong number of items passed 2000, placement implies 1

Answer 1

This answer is beautiful!

This will create another pandas column which I called time_td where then I can cast it as a timedelta64 where m stands for minutes which I am looking for.

df['time_td'] = df.index.to_series().diff().astype('timedelta64[m]')

I can then sum this time_td column with:

df.time_td.sum()