issues: 1507705136
This data as json
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1507705136 | I_kwDOAMm_X85Z3cEw | 7398 | convert_calendar adds time coordinate to static variables | 5659125 | open | 0 | 1 | 2022-12-22T11:27:11Z | 2023-01-15T15:51:21Z | NONE | What is your issue?I just recognized that ```python import numpy as np import pandas as pd import xarray as xr np.random.seed(0) temperature = 15 + 8 * np.random.randn(2, 2, 3) precipitation = 10 * np.random.rand(2, 2, 3) orog = 0 + 100 * np.random.randn(2, 2) lon = [[-99.83, -99.32], [-99.79, -99.23]] lat = [[42.25, 42.21], [42.63, 42.59]] time = pd.date_range("2014-09-06", periods=3) reference_time = pd.Timestamp("2014-09-05") ds = xr.Dataset(
data_vars=dict(
temperature=(["x", "y", "time"], temperature),
precipitation=(["x", "y", "time"], precipitation),
orog = (["x", "y"], orog)
),
coords=dict(
lon=(["x", "y"], lon),
lat=(["x", "y"], lat),
time=time,
reference_time=reference_time,
),
attrs=dict(description="Weather related data."),
)
ds
|
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13221727 | issue |
