Reputation: 78244
I have a python dictionaries where the key is a dateobject and the value is the timeseires.
timeseries = {datetime.datetime(2013, 3, 17, 18, 19): {'t2': 400, 't1': 1000},
datetime.datetime(2013, 3, 17, 18, 20): {'t2': 300, 't1': 3000}
}
How to I get this time series into a pandas dataframe?
Upvotes: 7
Views: 8531
Reputation: 97261
use DataFrame.from_dict
:
import pandas as pd
import datetime
timeseries = {datetime.datetime(2013, 3, 17, 18, 19): {'t2': 400, 't1': 1000},
datetime.datetime(2013, 3, 17, 18, 20): {'t2': 300, 't1': 3000}
}
print pd.DataFrame.from_dict(timeseries, orient="index")
output:
t2 t1
2013-03-17 18:19:00 400 1000
2013-03-17 18:20:00 300 3000
Upvotes: 18
Reputation: 11543
you need Series to create a DataFrame.
series_dict = dict((k, Series(v)) for k, v in timeseries.iteritems())
df = DataFrame(series_dict)
Upvotes: 0