Table of Contents

First, actual combatScene

Second, the main knowledge points

File read and write

Basic Grammar

String Handlingp>

File Generation

Data Construction

Three.

1. Create pythonDocument

2. Running results

First, the actual combat scene

Actual combat scenario: how to draw a pie chart to analyze product inventory

Second, the main knowledge points

• File read and write

• Basic syntax

• String Handling

• File Generation

• Data Construction

Three,

Schedule now!

1. Create a python file

"""Author:Practical scenario: how to draw a pie chart to analyze commodity inventory"""# import system packagesimport platformfrom flask import Flask, render_templatefrom pyecharts import options as optsfrom pyecharts.charts import *from pyecharts.faker import Fakerprint("Hello,")print("Practical scenario: how to draw a pie chart to analyze product classification")web = Flask(__name__)# data buildx_data = ["shirt", "cardigan", "chiffon shirt", "pants", "high heels", "socks"]y_data = [1186, 1246, 1346, 1086, 1430, 1064]data = [[x_data[i], y_data[i]] for i in range(len(x_data))]def pie_charts() -> Pie():# instantiate the objectpie = Pie()# Use the Flask library to get the color directlypie.add("", data, color=Faker.rand_color())# Globally set title, labelpie.set_global_opts(title_opts=opts.TitleOpts(title="How to draw a pie chart to analyze product classification", subtitle=", keep learning!"),legend_opts=opts.LegendOpts(type_="scroll", orient="vertical", pos_top="20%", pos_left="0%"))return pie# get objectp = pie_charts()# Draw graphics and generate HTML filesp.render('./templates/pie_charts.html')# Add route display [email protected]('/')def index():return render_template('pie_charts.html')if __name__ == "__main__":# run the projectweb.run(debug=False)print("Python version", platform.python_version())

2. Results of operation

Hello，
Practical scenario: how to draw a pie chart to analyze product classification

* Serving Flask app 'py032' (lazy loading)
* Environment: production
WARNING: This is a development server. Do not use it in a production deployment.
Use a production WSGI server instead.
* Debug mode: off
* Running on http://127.0.0.1:5000 (Press CTRL+C to quit)

Keep learning!

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