climate_indices | Climate indices for drought monitoring
kandi X-RAY | climate_indices Summary
kandi X-RAY | climate_indices Summary
Climate indices for drought monitoring, community reference implementations in Python
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Compute the write index
- Drops data into shared memory arrays
- Drop data into shared arrays
- Builds the function arguments
- Validate input arguments
- Compute the spipy ndarray
- Normalize a dictionary
- Compute the forecasted time series
- Calculates the pdsi coefficients from a Z index
- Assign an X value to a month
- Assign the backtrack values to the backtrack
- Calculate the smoothing of a data array
- Calculates the monthly mean daylight hours for each month
- Calculate daylight hours
- Calculate the solar declination
- Compute the fitted Pearson model for the given values
- Fit the distribution to a distribution
- Calculate the water balance accounting for a given time series
- Convert an array of days to hdfs
- Compute a fitted gamma distribution
- Prepare a netCDF file
- Builds a Dataset containing the data for each forecast
- Scale values to zero
- Build the dataset fitting
- Estimate the Pearson parameters of a timeseries
- Get a logger
climate_indices Key Features
climate_indices Examples and Code Snippets
Community Discussions
Trending Discussions on climate_indices
QUESTION
I have a Python script that runs well when I run it normally:
$ python script.py
I am attempting to profile the code using the cProfile module:
$ python -m cProfile -o script.prof script.py
When I launch the above command I get an error regarding being unable to pickle a function:
...ANSWER
Answered 2019-Nov-28 at 00:08The problem you've got here is that, by using -mcProfile
, the module __main__
is cProfile
(the actual entry point of the code), not your script. cProfile
tries to fix this by ensuring that when your script runs, it sees __name__
as "__main__"
, so it knows it's being run as a script, not imported as a module, but sys.modules['__main__']
remains the cProfile
module.
Problem is, pickle
handles pickling functions by just pickling their qualified name (plus some boilerplate to say it's a function in the first place). And to make sure it will survive the round trip, it always double checks that the qualified name can be looked up in sys.modules
. So when you do pickle.dumps(_apply_along_axis_palmers)
(explicitly, or implicitly in this case by passing it as the mapper function), where _apply_along_axis_palmers
is defined in your main script, it double checks that sys.modules['__main__']._apply_along_axis_palmers
exists. But it doesn't, because cProfile._apply_along_axis_palmers
doesn't exist.
I don't know of a good solution for this. The best I can come up with is to manually fix up sys.modules
to make expose your module and its contents correctly. I haven't tested this completely, so it's possible there will be some quirks, but a solution I've found is to change a module named mymodule.py
of the form:
QUESTION
I am applying a function to a xarray.DataArray using xarray.apply_ufunc(). It works well with some NetCDFs and fails with others that appear to be comparable in terms of dimensions, coordinates, etc. However there must be something different between the NetCDFs that the code works for and the ones where the code fails, and hopefully someone can comment as to what the problem is after seeing the code and some metadata about the files listed below.
The code I'm running to perform the computation is this:
...ANSWER
Answered 2018-Nov-06 at 15:35It turned out that the NetCDF files that were problematic as inputs the latitude coordinate values were in descending order. xarray.apply_ufunc()
appears to require that coordinate values be in ascending order, at least in order to avoid this particular issue. This is easily remedied by reversing the offending dimension's coordinate values using NCO's ncpdq command before using the NetCDF file as input to xarray.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install climate_indices
You can use climate_indices like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page