Re: data_processor..mask_missing_data - What is the definition of a missing value?

Hi Michael, The purpose of that function is to propagate missing data from one dataset to all others so that the evaluation is consistent. Depending on what loader is used, datasets without missing data do not use masked arrays for the value attribute. (See CLIMATE-819). I would just modify the

[jira] [Commented] (CLIMATE-803) AttributeError in Utils.py

[ https://issues.apache.org/jira/browse/CLIMATE-803?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16266259#comment-16266259 ] Michael Anderson commented on CLIMATE-803: -- The problem here is that the method assumes the

utils.calc_subregion_area_mean_and_std Throws AttributeError

I'm also working on https://issues.apache.org/jira/browse/CLIMATE-803. The problem here is that the method assumes the first dataset passed is a masked array. If a regular numpy array (e.g. OCW dataset) is passed, it does not have a mask attribute and an error is thrown After calculating the

Re: data_processor..mask_missing_data - What is the definition of a missing value?

Apologies, the method is in data_process, not utils, as incorrectly stated in the header of the previous email. On Sun, Nov 26, 2017 at 6:29 PM, Michael Anderson < michael.arthur.ander...@gmail.com> wrote: > I'm working on https://issues.apache.org/jira/browse/CLIMATE-797. > > The comments in

[jira] [Commented] (CLIMATE-797) Attribute error in mask_missing_data

[ https://issues.apache.org/jira/browse/CLIMATE-797?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16266247#comment-16266247 ] Michael Anderson commented on CLIMATE-797: -- The comments in the method in question state: If any

utils.mask_missing_data - What is the definition of a missing value?

I'm working on https://issues.apache.org/jira/browse/CLIMATE-797. The comments in the method in question state: If any of dataset in dataset_array has missing values at a grid point, the values at the grid point in all other datasets are masked. The problem here is that the method assumes a

[jira] [Assigned] (CLIMATE-803) AttributeError in Utils.py

[ https://issues.apache.org/jira/browse/CLIMATE-803?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Michael Anderson reassigned CLIMATE-803: Assignee: Michael Anderson > AttributeError in Utils.py >

[jira] [Assigned] (CLIMATE-478) dataset_processor.temporal_rebin function should support fine grain control

[ https://issues.apache.org/jira/browse/CLIMATE-478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Michael Anderson reassigned CLIMATE-478: Assignee: Michael Anderson > dataset_processor.temporal_rebin function should

[jira] [Assigned] (CLIMATE-797) Attribute error in mask_missing_data

[ https://issues.apache.org/jira/browse/CLIMATE-797?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Michael Anderson reassigned CLIMATE-797: Assignee: Michael Anderson > Attribute error in mask_missing_data >

[GitHub] climate pull request #462: Climate 465

GitHub user MichaelArthurAnderson opened a pull request: https://github.com/apache/climate/pull/462 Climate 465 Climate 465 - Added class level documentation. - Added Apache license. You can merge this pull request into a Git repository by running: $ git pull