issue_comments: 378031578
This data as json
| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/2034#issuecomment-378031578 | https://api.github.com/repos/pydata/xarray/issues/2034 | 378031578 | MDEyOklzc3VlQ29tbWVudDM3ODAzMTU3OA== | 5462289 | 2018-04-02T20:17:40Z | 2018-04-02T20:17:40Z | NONE | Thanks @fischcheng for your kind answer. I agree, it is my experience too to use ncdump for quick exploration, ncview for quick plots, cdo/nco for concat / averaging / anomalies etc... For the latter use, I found out Xarray had powerful methods so that I can script everything in python without a pre-processing with e.g. ncrcat. So I was wondering for an all-python solution, thus replacement for ncview since Xarray also have great plotting capabilities with thin matplotlib wrapping. But all-python replacement could also mean useless redundancy, I agree! |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
310547057 |