[
https://issues.apache.org/jira/browse/CLIMATE-934?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16262425#comment-16262425
]
Michael Anderson edited comment on CLIMATE-934 at 11/22/17 12:42 PM:
---------------------------------------------------------------------
I've updated it on my local and will submit. Still working on the matlib bit.
utils.calc_climatology_monthly returns [datetime.datetime(1, 1, 1, 0, 0)
datetime.datetime(1, 2, 1, 0, 0)
datetime.datetime(1, 3, 1, 0, 0) datetime.datetime(1, 4, 1, 0, 0)
datetime.datetime(1, 5, 1, 0, 0) datetime.datetime(1, 6, 1, 0, 0)
datetime.datetime(1, 7, 1, 0, 0) datetime.datetime(1, 8, 1, 0, 0)
datetime.datetime(1, 9, 1, 0, 0) datetime.datetime(1, 10, 1, 0, 0)
datetime.datetime(1, 11, 1, 0, 0) datetime.datetime(1, 12, 1, 0, 0)]
which is what matplotlib is having a hard time converting to dates. I forced
the year to be 2017 and it worked.
The matplotlib docs state:
Matplotlib provides sophisticated date plotting capabilities, standing on the
shoulders of python datetime, the add-on modules pytz and dateutil. datetime
objects are converted to floating point numbers which represent time in days
since 0001-01-01 UTC, plus 1.
was (Author: michael.arthur.ander...@gmail.com):
I've updated it on my local and will submit. Still working on the matlib bit.
utils.calc_climatology_monthly returns [datetime.datetime(1, 1, 1, 0, 0)
datetime.datetime(1, 2, 1, 0, 0)
datetime.datetime(1, 3, 1, 0, 0) datetime.datetime(1, 4, 1, 0, 0)
datetime.datetime(1, 5, 1, 0, 0) datetime.datetime(1, 6, 1, 0, 0)
datetime.datetime(1, 7, 1, 0, 0) datetime.datetime(1, 8, 1, 0, 0)
datetime.datetime(1, 9, 1, 0, 0) datetime.datetime(1, 10, 1, 0, 0)
datetime.datetime(1, 11, 1, 0, 0) datetime.datetime(1, 12, 1, 0, 0)]
which is what matlib is having a hard time converting to dates. I forced the
year to be 2017 and it worked.
> time_series_with_regions.py Fails With Type Error
> -------------------------------------------------
>
> Key: CLIMATE-934
> URL: https://issues.apache.org/jira/browse/CLIMATE-934
> Project: Apache Open Climate Workbench
> Issue Type: Bug
> Components: examples
> Affects Versions: 1.1.0
> Reporter: Michael Anderson
> Assignee: Michael Anderson
>
> time_series_with_regions.py Fails With:
> Traceback (most recent call last):
> File "time_series_with_regions.py", line 122, in <module>
> Bounds(-10.0, 0.0, 29.0, 36.5),
> File "/Users/michaelanderson/Downloads/climate/ocw/dataset.py", line 351,
> in __init__
> if boundary_type[:6].upper() == 'CORDEX':
> TypeError: 'float' object has no attribute '__getitem__'
> The example is constructing the Bounds object like so:
> Bounds(-10.0, 0.0, 29.0, 36.5),
> However the Bounds constructor looks like so:
> def __init__(self, boundary_type='rectangular',
> us_states=None, countries=None,
> user_mask_file=None, mask_variable_name=None,
> longitude_name=None, latitude_name=None,
> lat_min=-90, lat_max=90, lon_min=-180, lon_max=180,
> start=None, end=None):
> So when the Bounds constructor gets here:
> if boundary_type[:6].upper() == 'CORDEX':
> It is trying to treat an int like an array.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
