create additional rows for missing dates pandas

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showing results for - "create additional rows for missing dates pandas"
Vanessa
02 Jun 2018
1In [11]: idx = pd.period_range(min(df.date), max(df.date))
2    ...: results.reindex(idx, fill_value=0)
3    ...:
4Out[11]:
5                  f1        f2        f3        f4
62000-01-01  2.049157  1.962635  2.756154  2.224751
72000-01-02  2.675899  2.587217  1.540823  1.606150
82000-01-03  0.000000  0.000000  0.000000  0.000000
92000-01-04  0.000000  0.000000  0.000000  0.000000
102000-01-05  0.000000  0.000000  0.000000  0.000000
112000-01-06  0.000000  0.000000  0.000000  0.000000
122000-01-07  0.000000  0.000000  0.000000  0.000000
132000-01-08  0.000000  0.000000  0.000000  0.000000
142000-01-09  0.000000  0.000000  0.000000  0.000000
152000-01-10  0.000000  0.000000  0.000000  0.000000
162000-01-11  0.000000  0.000000  0.000000  0.000000
172000-01-12  0.000000  0.000000  0.000000  0.000000
182000-01-13  0.000000  0.000000  0.000000  0.000000
192000-01-14  0.000000  0.000000  0.000000  0.000000
202000-01-15  0.000000  0.000000  0.000000  0.000000
212000-01-16  0.000000  0.000000  0.000000  0.000000
222000-01-17  0.000000  0.000000  0.000000  0.000000
232000-01-18  0.000000  0.000000  0.000000  0.000000
242000-01-19  0.000000  0.000000  0.000000  0.000000
252000-01-20  0.000000  0.000000  0.000000  0.000000
262000-01-21  0.000000  0.000000  0.000000  0.000000
272000-01-22  0.000000  0.000000  0.000000  0.000000
282000-01-23  0.000000  0.000000  0.000000  0.000000
292000-01-24  0.000000  0.000000  0.000000  0.000000
302000-01-25  0.000000  0.000000  0.000000  0.000000
312000-01-26  0.000000  0.000000  0.000000  0.000000
322000-01-27  0.000000  0.000000  0.000000  0.000000
332000-01-28  0.000000  0.000000  0.000000  0.000000
342000-01-29  0.000000  0.000000  0.000000  0.000000
352000-01-30  0.000000  0.000000  0.000000  0.000000
362000-01-31  0.000000  0.000000  0.000000  0.000000
372000-02-01  0.000000  0.000000  0.000000  0.000000
382000-02-02  0.000000  0.000000  0.000000  0.000000
392000-02-03  0.000000  0.000000  0.000000  0.000000
402000-02-04  1.856158  2.892620  2.986166  2.793448
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