mdts | Material Design Theming Sessions sample app | User Interface library
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Material Design Theming Sessions sample app
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QUESTION
I'm trying to SELECT rows that matches datetime in my column. I have a table containing mDTS set as DATETIME (with no curly braces). My table looks something like this:
mID mDTS mDTE 1 10/08/2021 10:41:47 11/08/2021 10:41:47 2 12/08/2021 10:42:34 13/08/2021 10:42:34 ...ANSWER
Answered 2021-Sep-30 at 09:09Change the format of the date in WHERE clause:
QUESTION
I am using ansible.builtin.slurp to do this. Here is the relevant part of my Ansible role:
...ANSWER
Answered 2021-Apr-23 at 23:10The following helped get the raw text of JSON file:
QUESTION
I have a multidimensional 'mean direction of total ocean swell' (mdts), netCDF data set. The dimensions are time
(in hours), latitude
, and longitude
. I simply wish to group the hourly data by day and then for each day, for each lat/lon grid, determine which of 16 predefined directional bins contains the most hours (maximum could be 24). The direction value associated with the bin with the most hours, for each lat/lon grid, would then be assigned as the direction for that particular day, for each lat/lon grid. I'm applying a custom function to the groupby
command and that is where the error is occurring. I think I'm not understanding what is being passed to the function.
Note: each netCDF file represents 1979-2019 for one month. Therefore, I'm using groupby
instead of resample
as resample
adds the 11 other months not in the file. I also first converted all the hours to 00:00 so that groupby
would work for grouping by days.
Note: my actual code is set to loop through several netCDF files. I've simplified it here for one file. My simplified code:
...ANSWER
Answered 2021-Apr-08 at 17:23I didn't check the results all the way but I think the code bellows does what you need:
QUESTION
I'm using Pandas for some data cleanup, and I have a very long regex which I would like to split into multiple lines. The following works fine in Pandas because it is all on one line:
...ANSWER
Answered 2021-Jan-12 at 20:10One option is to create a list of strings and then use join
when you call replace
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