semvec/pypi-packages huggingface dataset:
pydatascience 0.0.4
Data Science Functions
License: MIT
Keywords: python,data science,eda,data preprocessing,data analysis,machine learning

<meta name = "Keywords" content = "datascience, eda, dataanalysis, data visualization, machinelearning, 
data preprocessing, diagnostic analysis, descriptive analysis"> 

<h1>Data Analysis CheatSheet (everything you might need )</h1>
<p>
The project include modules with functions to summarize and analysis dataset in order 
to understand properties and relationships.
</p>
<h2>DESCRIPTIVE  MODULE</h2>
<h3>Answer the question (What Happen?)</h3>

Includes two modules:
- <i>pyeda.py</i><br>
Includes simple eda cheatsheet functions that might be useful in general cases.<br>
- <i>pydatapreprocessing.py</i><br> Some functions for data preprocessing that might be useful.



<h2>DIAGNOSTIC MODULE</h2>
<h3>Answer the question (Why did it happen?)</h3>
<i>pydiagnostic.py</i><br><br>
File module includes several statistical analysis functions with explanations.



<h2>PREDICTIVE MODULE </h2>
<h3>Answer the question (What is likely to Happen?)</h3>
<i>pypredticitve.py</i> <br><br>
File module includes several functions with explanations



<h2>PRESCRIPTIVE MODULE</h2> 
<h3>Answer the question (What action should we take?)</h3>

<i>pyprescriptive.py</i><br>

Include functions that might be useful for classification
nwp 0.0.1
NWP Processing
License: MIT

# NWP
Tools for downloading and processing numerical weather predictions

At the moment, this code is focused on downloading historical UKV NWPs produced by the UK Met Office, and distributed by CEDA.

Detailed docs of the Met Office data is available [here](http://cedadocs.ceda.ac.uk/1334/1/uk_model_data_sheet_lores1.pdf).

# Installation

## `conda`

From within the cloned `nwp` directory:

```shell
conda env create -f environment.yml
conda activate nwp
pip install -e .
```

# Downloading UKV numerical weather predictions from CEDA

Request access to the [UK Met Office data on CEDA](https://catalogue.ceda.ac.uk/uuid/f47bc62786394626b665e23b658d385f).

Once you have a username and password, download using
[`scripts/download_UK_Met_Office_NWPs_from_CEDA.sh`](https://github.com/openclimatefix/nwp/tree/main/scripts/download_UK_Met_Office_NWPs_from_CEDA.sh).
Please see the comments at the top of the script for instructions.

# Convert grib files to Zarr

Then convert the `grib` files to Zarr using `scripts/convert_NWP_grib_to_zarr.py`.  Run that script
with `--help` to see how to operate it.  See the comments at the top of the script to learn how
the script works.