I have two data frames with the closest matching DateTime index, sometimes matching. An object is to merge two of them using one index as a reference and appending a second to the closest matching (within 1 minute) on the first one.
My code and output:
import pandas as pd
masterdf = pd.DataFrame({"AA":[77.368607,77.491655,77.425134,76.490991]})
masterdf.index = ['2019-10-01 07:52:07','2019-10-01 07:53:01','2019-10-01 07:53:54','2019-10-01 07:54:47']
masterdf.index.name = 'datetime'
slavedf = pd.DataFrame({"BB":[50,60,70,80]})
slavedf.index = ['2019-10-01 07:53:00','2019-10-01 07:53:54','2019-10-01 10:54:47','2019-10-01 10:00:00']
slavedf.index.name = 'datetime'
maindf = masterdf.merge(slavedf,left_index=True,right_index=True)
Present output:
masterdf =
AA
datetime
2019-10-01 07:52:07 77.368607
2019-10-01 07:53:01 77.491655
2019-10-01 07:53:54 77.425134
2019-10-01 07:54:47 76.490991
slavedf =
BB
datetime
2019-10-01 07:53:00 50
2019-10-01 07:53:54 60
2019-10-01 10:54:47 70
2019-10-01 10:00:00 80
maindf =
datetime AA BB
2019-10-01 07:53:54 77.425134 60
Expected output:
maindf =
datetime AA BB
2019-10-01 07:53:01 77.491655 50
2019-10-01 07:53:54 77.425134 60
How do I achieve this?
Select the correct answer from above options
