Wdatabase 2.0.0

A database with multiple data sets that support drawing, These data sets are: World population data set, World Carbon dioxide Concentration data set, World Number of Cities data set, China number of population data set, China number of space vehicles data set......

A database with multiple data sets that support drawing, These data sets are: World population data set, World Carbon dioxide Concentration data set, World Number of Cities data set, China number of population data set, China number of space vehicles data set......

简体中文

• Function introduction
• download
• use
  • Get data
  • import data
  • drawing
  • Data save
• What data do we have
• Donation
• About Pypi
• license
• our internal test

Features

This project is a dataset with multiple functions, there are many datasets in it, and it has been uploaded to Pypi.

Download

This project uses Pypi, so it is recommended to use Pypi to download

Code: pip3 install Wdatabase

Use

The package name when we upload is not the same as the package name used in actual use When importing, use the following code

from Wdata import WdataMain as main

The main class has the following functions:

Functions	Introduction	Syntax	Return Type
Fetch_dict	Get data	Func()	dict
draw	Draw	Func()	None
Save_file	Save file	Func(filename:str)	bool

Import Data

Wdata has a lot of data sets, here we use 200 years of population growth data as an example

The syntax of Wdata_class is as follows: Wdata_class(json_fname: str)

json_fname is the name of the dataset

from Wdata import WdataMain as main

test = main('Population_growth')  # import population growth over 200 years

Get data

We can use the Fetch_dict function to fetch the data

such as these codes

from Wdata import WdataMain as main

test = main('Population_growth')  # import population growth over 200 years
print(test.Fetch_dict())

after running

~/python test.py
{
    '1800': 900000000,
    '1820': 1100000000,
    '1840': 1200000000,
    '1860': 1300000000,
    '1880': 1400000000,
    '1900': 1650000000,
    '1920': 1800000000,
    '1940': 2200000000,
    '1960': 3000000000,
    '1980': 4400000000,
    '2000': 5900000000,
    '2022': 7400000000
    }

Drawing

Drawing functions use the draw() function as the following code

from Wdata import WdataMain as main

test = main('Population_growth')  # import population growth over 200 years
test.draw()

The result is this

Data save

You can use the Save_file() function to save data

The syntax of Save_file is Save_file(filename:str) -> None

Parameter Description: The filename parameter is used to describe the save file

as the following code

from Wdata import WdataMain as main

test = main('Population_growth')  # import population growth over 200 years
test.Save_file('Package_test')  # This function will automatically add the .json suffix

What data do we have

Currently we have the following data

name	description	unit of measure
Population_growth	Population Growth 1800-2022	People
Chinese_spacecraft	2017-2020.06 Chinese spacecraft launches	Spacecraft
World_spacecraft	2017-2020.06 World Spacecraft Launches	Spacecraft

The above data comes from Bing and Baidu. The author cannot guarantee the accuracy of the data and should not be used for professional purposes

Donate

Due to special reasons, the author was unable to register a Paypal account and was forced to use Alipay

For details, please see Donation Instructions

About Pypi

The Wdataorg team has used twine to upload this library to Pypi

Wdataorg Pypi account

Wdatabase Pypi warehouse address

License

This open source project uses Apache License 2.0

In the process of using this open source project, please use it strictly in accordance with the license

The final interpretation right belongs to the development team Wdataorg

Project License Link

Our closed beta

0.0.1b0 version has been released, users can put forward their valuable opinions

How to test?

Please follow the README instructions to download the project and use it, fill in the internal test form