Home Backend Development Python Tutorial Pandas+Pyecharts | 2022 Fortune 500 Data Analysis Visualization

Pandas+Pyecharts | 2022 Fortune 500 Data Analysis Visualization

Aug 09, 2023 pm 05:19 PM
python pandas pyecharts


In this issue, we use Python to analyze the information data of the world's top 500 companies in 2022, take a look:

  • What countries are the top 500 companies roughly distributed in?
  • Top 500 companies What are the Chinese companies and their distribution in various cities in the country
  • Profit and loss situation of the top 500 companies
  • ...
Hope it will be helpful, if you have any questions or need If you want to improve, you can send a private message to the editor.

Libraries involved:

  • Pandas — Data Processing

  • Pyecharts — Data Visualization

##Visualization Section:

  • Pictogram — PictorialBar

  • Bar chart — Bar

  • Map — Map

  • ##Geographic coordinate system — Geo

  • Water Polo Chart — Liquid

  • Polar Coordinate Chart — Polar

  • Word Cloud — WordCloud

1. Import module

##
import pandas as pd 
from pyecharts.charts import Pie
from pyecharts.charts import Bar
from pyecharts.charts import Grid
from pyecharts.charts import Map
from pyecharts.charts import Geo
from pyecharts.charts import WordCloud
from pyecharts.charts import PictorialBar
from pyecharts.charts import Liquid
from pyecharts.charts import Polar
from pyecharts import options as opts
from pyecharts.commons.utils import JsCode
Copy after login


2. Pandas数据处理

2.1 读取数据
df = pd.read_excel('2022年世界五百强排行榜.xlsx')
df.head(10)
Copy after login

Pandas+Pyecharts | 2022 Fortune 500 Data Analysis Visualization

2.2 查看数据信息

df.info()
Copy after login

Pandas+Pyecharts | 2022 Fortune 500 Data Analysis Visualization

500条数据没有确缺失,不需要进行其他处理。


3. Pyecharts数据可视化

3.1 各国世界500强企业数量排名柱状图
bar = (
    Bar(init_opts=opts.InitOpts(width='1000px', height='1000px',bg_color='#0d0735'))
    .add_xaxis(x_data)
    .add_yaxis("",y_data)
    .set_series_opts(label_opts=opts.LabelOpts(position="right",
                                              font_size=12,
                                              font_weight='bold',
                                              formatter='{c} 家'),
                    )
    .set_global_opts(
                    xaxis_opts=opts.AxisOpts(is_show=False,),
                    yaxis_opts=opts.AxisOpts(
                        axislabel_opts=opts.LabelOpts(font_size=13,color='#fff200'),
                        axistick_opts=opts.AxisTickOpts(is_show=False),
                        axisline_opts=opts.AxisLineOpts(is_show=False)
                    ),
                    title_opts=opts.TitleOpts(title="各国世界500强企业数量排名",pos_left='center',pos_top='1%',
                              title_textstyle_opts=opts.TextStyleOpts(font_size=22,color="#38d9a9")),
                    visualmap_opts=opts.VisualMapOpts(is_show=False, 
                                      min_=20,
                                      max_=150,
                                      is_piecewise=False,
                                      dimension=0,
                                      range_color=['#203fb6', '#008afb', '#ffec4a', '#ff6611', '#f62336']
                                                     ),
                    )
    .reversal_axis()
)
Copy after login

Pandas+Pyecharts | 2022 Fortune 500 Data Analysis Visualization

  • 我国以145家世界500强企业高居榜首
  • 美国128家、日本47家位居二、三位
  • 亚洲方面还有韩国以18家的数量排名第六
3.2 各国世界500强企业数量排名TOP8极坐标图
p = (
    Polar(init_opts=opts.InitOpts(width='1000px', height='800px', bg_color='#0d0735'))
    .add_schema(
        radiusaxis_opts=opts.RadiusAxisOpts(data=x_data[-8:], 
                                            type_='category'),
        angleaxis_opts=opts.AngleAxisOpts(
              is_clockwise=True, 
              is_scale=True,
              max_=150,
              axislabel_opts=opts.LabelOpts(font_size=14, color='#fff200'),
              axisline_opts=opts.AxisLineOpts(is_show=True,linestyle_opts=opts.LineStyleOpts(
                                                    width=2,type_='dashed',color='#e4e932')),
              splitline_opts=opts.SplitLineOpts(is_show=True,
                    linestyle_opts=opts.LineStyleOpts(type_='dashed', color='#9FC131')
                ),
             ),
    )
    .add('',y_data[-8:], type_='bar')
    .set_global_opts( 
        title_opts=opts.TitleOpts(title='各国世界500强企业数量排名TOP8',subtitle='制图@公众号:Python当打之年',pos_left='center',pos_top='1%',
            title_textstyle_opts=opts.TextStyleOpts(color='#38d9a9',font_size=20)
        ),
         visualmap_opts=opts.VisualMapOpts(max_=150, is_show = False, is_piecewise=True, split_number = 8, min_ = 10,
                                           range_color=['#203fb6', '#008afb', '#ffec4a', '#ff6611', '#f62336'] 
                                          ),
    )
)
Copy after login

Pandas+Pyecharts | 2022 Fortune 500 Data Analysis Visualization

3.3 各国世界500强企业数量占比饼状图

Pandas+Pyecharts | 2022 Fortune 500 Data Analysis Visualization

  • 我国世界500强企业有145家,占比高达29%,接近总量的1/3

  • The United States accounts for 24.8 and Japan accounts for 9.4%

##3.4 TOP8 pictograms of the number of Fortune 500 companies in each country

Pandas+Pyecharts | 2022 Fortune 500 Data Analysis Visualization

##3.5 Bar chart of the number of Fortune 500 companies in each Chinese city

Pandas+Pyecharts | 2022 Fortune 500 Data Analysis Visualization Domestic aspects:

  • my country’s 145 Fortune 500 companies are basically based on first-line Most cities
  • Beijing ranks first with 54 Fortune 500 companies, followed by Shanghai and Shenzhen with 12 and 10 companies respectively
  • Beijing, Shanghai, Guangzhou, Shenzhen and Zhongshan,

    Guangzhou fell out of the top 5 with 4 companies, ranking 7th

3.6 各国世界500强企业数量地图分布
m1 = (
    Map(init_opts=opts.InitOpts(width='1000px', height='500px',theme='dark',bg_color='#0d0735')) 
    .add('公司数量', 
         region_data, 
         "world", 
         is_map_symbol_show=False,
         is_roam=False, 
        )
    .set_series_opts(label_opts=opts.LabelOpts(is_show=False))
    .set_global_opts(
        legend_opts=opts.LegendOpts(is_show=False),
        visualmap_opts=opts.VisualMapOpts(is_show=True, 
                                          max_=150,
                                          min_=0,
                                          is_piecewise=True,
                                          split_number=10,
                                          pos_top='50%',
                                          pos_left='10%',
                                          range_color=['#9ecae1','#6baed6','#4292c6','#2171b5','#08519c','#08306b','#d4b9da','#c994c7','#df65b0','#e7298a','#ce1256','#980043','#67001f']
        ), 
    )
)
Copy after login

Pandas+Pyecharts | 2022 Fortune 500 Data Analysis Visualization

效果2:

3.7 中国世界500强企业数量占比水球图

Pandas+Pyecharts | 2022 Fortune 500 Data Analysis Visualization

3.8 世界500强企业公司名称词云
wd = WordCloud(init_opts=opts.InitOpts(width='1000px',height='600px',theme='dark',bg_color='#0d0735'))
wd.add('', 
       [list(z) for z in zip(x_data, y_data)],
      )
wd.set_global_opts(
        title_opts=opts.TitleOpts(
            title=""),
        tooltip_opts=opts.TooltipOpts(is_show=True),
    )
wd.render_notebook()
Copy after login

Pandas+Pyecharts | 2022 Fortune 500 Data Analysis Visualization

营收方面:

  • Walmart ranks first with operating income of US$572,754 million, Amazon ranks second with operating income of US$469,822 million, and State Grid Corporation of my country ranks first with operating income of US$469,822 million. 460616.9 million US dollars, ranking 3rd
  • A total of 4 companies in my country have entered the top 10 of the Fortune 500 list: State Grid Co., Ltd. ( 3), China National Petroleum Corporation (4), China Petrochemical Corporation (5), China State Construction Engineering Corporation (9)
##4.
Online running address

#Part of the code is not shown due to space reasons, Online running address (including source code)

##https://www.heywhale.com/mw/project/6318517d9b96502cad5c5ab0

The above is the detailed content of Pandas+Pyecharts | 2022 Fortune 500 Data Analysis Visualization. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
WWE 2K25: How To Unlock Everything In MyRise
1 months ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Python: Exploring Its Primary Applications Python: Exploring Its Primary Applications Apr 10, 2025 am 09:41 AM

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

The 2-Hour Python Plan: A Realistic Approach The 2-Hour Python Plan: A Realistic Approach Apr 11, 2025 am 12:04 AM

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Navicat's method to view MongoDB database password Navicat's method to view MongoDB database password Apr 08, 2025 pm 09:39 PM

It is impossible to view MongoDB password directly through Navicat because it is stored as hash values. How to retrieve lost passwords: 1. Reset passwords; 2. Check configuration files (may contain hash values); 3. Check codes (may hardcode passwords).

How to use AWS Glue crawler with Amazon Athena How to use AWS Glue crawler with Amazon Athena Apr 09, 2025 pm 03:09 PM

As a data professional, you need to process large amounts of data from various sources. This can pose challenges to data management and analysis. Fortunately, two AWS services can help: AWS Glue and Amazon Athena.

How to start the server with redis How to start the server with redis Apr 10, 2025 pm 08:12 PM

The steps to start a Redis server include: Install Redis according to the operating system. Start the Redis service via redis-server (Linux/macOS) or redis-server.exe (Windows). Use the redis-cli ping (Linux/macOS) or redis-cli.exe ping (Windows) command to check the service status. Use a Redis client, such as redis-cli, Python, or Node.js, to access the server.

How to read redis queue How to read redis queue Apr 10, 2025 pm 10:12 PM

To read a queue from Redis, you need to get the queue name, read the elements using the LPOP command, and process the empty queue. The specific steps are as follows: Get the queue name: name it with the prefix of "queue:" such as "queue:my-queue". Use the LPOP command: Eject the element from the head of the queue and return its value, such as LPOP queue:my-queue. Processing empty queues: If the queue is empty, LPOP returns nil, and you can check whether the queue exists before reading the element.

How to view server version of Redis How to view server version of Redis Apr 10, 2025 pm 01:27 PM

Question: How to view the Redis server version? Use the command line tool redis-cli --version to view the version of the connected server. Use the INFO server command to view the server's internal version and need to parse and return information. In a cluster environment, check the version consistency of each node and can be automatically checked using scripts. Use scripts to automate viewing versions, such as connecting with Python scripts and printing version information.

How secure is Navicat's password? How secure is Navicat's password? Apr 08, 2025 pm 09:24 PM

Navicat's password security relies on the combination of symmetric encryption, password strength and security measures. Specific measures include: using SSL connections (provided that the database server supports and correctly configures the certificate), regularly updating Navicat, using more secure methods (such as SSH tunnels), restricting access rights, and most importantly, never record passwords.

See all articles