issues: 369639339
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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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| 369639339 | MDU6SXNzdWUzNjk2MzkzMzk= | 2481 | Implement CFPeriodIndex | 81219 | closed | 0 | 3 | 2018-10-12T17:20:04Z | 2020-11-02T01:26:48Z | 2020-11-02T01:26:48Z | CONTRIBUTOR | A CFPeriodIndex supporting non-standard calendars would be useful to facilitate climate analyses. The use case for me would be to find the start and end date of a resampling group. This is useful to spot missing values in a resampled time series, or to create ``` import xarray as xr import pandas as pd cftime = xr.cftime_range(start='2000-01-01', periods=361, freq='D', calendar='360_day') pdtime = pd.date_range(start='2000-01-01', periods=361, freq='D') cf_da = xr.DataArray(range(361), coords={'time': cftime}, dims='time') pd_da = xr.DataArray(range(361), coords={'time': pdtime}, dims='time') cf_c = cf_da.resample(time='M').count()pd_c = pd_da.resample(time='M').count() cf_p = cf_c.indexes['time'].to_period()pd_p = pd_c.indexes['time'].to_period() cf_expected_days_in_group = cf_p.end_time - cf_p.start_time + pd.offsets.Day(1)pd_expected_days_in_group = pd_p.end_time - pd_p.start_time + pd.offsets.Day(1) ``` Depends on #2191 |
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completed | 13221727 | issue |