semvec/pypi-packages huggingface dataset:
ShanCsv 0.8
A Python Package for CSV File Parsing and Rendering
Requires Python: >=3.8, <4
Keywords: samplecsv,shancsv,csv,comma-sperated-values,data,storage,development

# ShanCsv <br/>[![Python 3.8+](https://img.shields.io/badge/python-3.8%2B-blue)](https://www.python.org/downloads/) [![Pip latest](https://img.shields.io/badge/pip-latest-blue)](https://pip.pypa.io/en/stable/) [![license](https://img.shields.io/badge/license-MIT-green)](https://github.com/Ninjago77/ShanCsv/blob/main/LICENSE)
A [Python Package](https://pypi.org/) for [CSV](https://en.wikipedia.org/wiki/Comma-separated_values) File Parsing and Rendering. Easy to use and follows the formats of other commonly used libraries - The [load(s)](#shancsvloadfile)/[dump(s)](#shancsvdumpdata-file) functions of [pickle](https://docs.python.org/3/library/pickle.html)/[json](https://docs.python.org/3/library/json.html). Automatically converts data values from/to a 2-dimensional list as *float, int, bool, none, str* unlike the [in-built csv library.](https://docs.python.org/3/library/csv.html)
Completly customizable by giving the specified \*\**kwargs* to the [`Csv Class`](#shancsvcsvinputobj-inputtypestr-moreargs) directly or through the [other functions](#basic-usage) indirectly. Simple, readable, easy to understand [Docs.](https://github.com/Ninjago77/ShanCsv#readme) So what are you waiting for? Install [ShanCsv](#how-to-install) and try it now!
## View the [Docs](https://github.com/Ninjago77/ShanCsv#readme) and more at: https://github.com/Ninjago77/ShanCsv#readme
biomaj-core 3.0.28
BioMAJ core library
Requires Python: >=3

# Biomaj

Biomaj core library


Properties can be overriden by environment variables with pattern BIOMAJ_X_Y_Z for property x.y.z

Example:

use BIOMAJ_LDAP_HOST for ldap.host

[![PyPI version](https://badge.fury.io/py/biomaj-core.svg)](https://badge.fury.io/py/biomaj-core)


3.0.28:
   use pytest instead of nose (deprecated)
   python3 only support

3.0.27:
   add .tgz extension support

3.0.26:
   check use_ldap and use_elastic as bool (true/false or 0/1)

3.0.25:
   utils/get_folder_size: if file not found, catch error and continue

3.0.24:
   get_more_recent_file, return also file info

3.0.23:
   PR #9 Add missing ssh defaults for download

3.0.21 [3.0.22 ,tag issue]:
   Pin elasticsearch dependency, v7 breaks some API calls

3.0.20:
   PR #7 from institut-de-genomique/retry_method, rename default values of retryer.
   Rename wait_condition to wait_policy in default values
   PR #6 from institut-de-genomique/retry_method, add default values for retryer
   Add default values for retryer (see the corresponding branch biomaj-download).

3.0.19:
  Add ftps and directftps protocols
  #4 Harden hardlinks
  copy_files_with_regexp: remove duplicates
  Add utils fonctions
  Code cleanup

3.0.18:
  Allow to use hardlinks in copy_files and copy_files_with_regexp

3.0.17:
  Fix --log option

3.0.16:
  Add some warnings if some file is missing

3.0.15:
  Fix check on bank properties config file when args is empty vs not defined

3.0.14:
  Fix checks on local_endpoint_XXX in config.yml
  In rabbitmq not defined on config.yml add an empty dict

3.0.13:
  Add archive integrity checks

3.0.12:
  Add irods support

3.0.11:
  Add get_module_version static method, checks module version and latest version on pypi
  Allow .args fo process to be empty

3.0.10:
  Add env variables WEB_LOCAL_ENDPOINT_XX with XX as a service (defined in utils.py Utils.services) to define an endpoint per service

3.0.9:
  #1 Add checks on bank properties

3.0.8:
  Add DOCKER_URL, MONGO_URL, MONGO_DB env variable in override
  Do not fail on elasticsearch index creation, just log
  Add rsync check

3.0.7:
  set logging only if necessary

3.0.6:
  Fix configparser import for python 2 vs 3

3.0.5:
  Add config override with env variables

3.0.4:
  Code cleanup

3.0.3:
  Put index management in core

3.0.2:
  Add missing deps

3.0.1:
  Add README etc..

3.0.0:
  separation of biomaj and biomaj_core
maplapse 0.0.6b2
A python library to create animated timelapse of maps
Requires Python: >=3.0

![check-status](https://img.shields.io/github/checks-status/souravbhadra/maplapse/main)
![license](https://img.shields.io/github/license/souravbhadra/maplapse)
![downloads](https://img.shields.io/github/downloads/souravbhadra/maplapse/total)


![maplapse-logo](https://raw.githubusercontent.com/souravbhadra/maplapse/master/docs/images/logo.gif)

`MapLapse` is a Python-based library to create animated timelapse maps from given shapefiles. It is mainly built on top of `geopandas` and `matplotlib`, along with other open-source geospatial packages.

## Key Features
- Animated **choropleth** maps
- Animated **proportional circle** maps
- Supports output in `.gif` and `.mp4`

## Example
The `Animator` object of `maplapse` can easily create the animations. Here is a code snippet:

```
anim = Animator(shape='/county_shape.shp',
                value='/century_data.csv',
                time_column='Year',
                data_column='Value',
                shape_unique_column='ST_CNT',
                map_type='choropleth',
                out_path='/animation.gif')
anim.animate()
```
Output:
![maplapse-ex1](https://raw.githubusercontent.com/souravbhadra/maplapse/master/docs/images/corn_yield.gif)

![maplapse-ex2](https://raw.githubusercontent.com/souravbhadra/maplapse/master/docs/images/covid.gif)

## Installation
Simply use `pip install maplapse`.

## Problems
If you face any issues with the library, please create an issue by following up the steps [here](https://docs.github.com/en/issues/tracking-your-work-with-issues/creating-an-issue)