Home Backend Development Python Tutorial How to draw a 3D geographic chart with Python

How to draw a 3D geographic chart with Python

Sep 28, 2023 am 10:19 AM
python draw d

How to draw a 3D geographic chart with Python

How to draw 3D geographic charts with Python

Overview:

Drawing 3D geographic charts can help us understand geographic data and spatial distribution more intuitively. Python, as a powerful and easy-to-use programming language, provides many libraries and tools for drawing various types of geographical charts. In this article, we will learn how to draw 3D geographic charts using the Python programming language and some popular libraries such as Matplotlib and Basemap.

Environment preparation:

Before we start, we need to make sure that Python and some necessary libraries have been installed. It is assumed here that you have installed Python 3.

    Basemap: Provides geographical information system (GIS) functions for drawing geographical maps.
  1. NumPy: Library for numerical calculations and array operations.
  2. After installing these libraries, we can start using Python to draw 3D geographical charts.
Step 1: Import the necessary libraries

First, we need to import the necessary libraries. We will use Matplotlib to draw geographic charts, Basemap to process geographic data, and mpl_toolkits.mplot3d to create 3D graphics effects. In addition, we also need to import the NumPy library to handle arrays and numerical calculations.

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from mpl_toolkits.basemap import Basemap
import numpy as np
Copy after login

Step 2: Prepare data

Next, we need to prepare some data to draw 3D geographical charts. Here, we use the geographic information system (GIS) function provided by the Basemap library to obtain the geographical coordinate data of a certain area. We then use the NumPy library to generate some random data that will be used to draw 3D graphics.

# 创建一个Basemap对象,设置地图投影和区域范围
m = Basemap(projection='mill',llcrnrlat=20,urcrnrlat=50,
            llcrnrlon=100,urcrnrlon=160,resolution='c')

# 使用Basemap对象来获取某个地区的地理坐标数据
lons, lats = m.makegrid(81, 61)

# 生成一些随机数据
data = np.random.rand(len(lons), len(lats))
Copy after login

Step 3: Draw a 3D geographical chart

Now, we can use Matplotlib and mpl_toolkits.mplot3d to create a 3D geographical chart. First, we create a Figure object and an Axes3D object, and then use the plot_surface method of the Axes3D object to draw 3D graphics.

# 创建一个Figure对象
fig = plt.figure()

# 创建一个Axes3D对象
ax = fig.add_subplot(111, projection='3d')

# 绘制3D图表
ax.plot_surface(lons, lats, data)
Copy after login

Step 4: Set chart style and display chart

Finally, we can set some chart styles, such as titles, labels and grid lines, etc., and then use the plt.show() method to display the chart.

# 设置图表的样式
ax.set_xlabel('Longitude')
ax.set_ylabel('Latitude')
ax.set_zlabel('Data')
ax.set_title('3D Geographical Chart')

# 显示图表
plt.show()
Copy after login

Full code example:

Here is the complete code example for the above steps:

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from mpl_toolkits.basemap import Basemap
import numpy as np

# 创建一个Basemap对象,设置地图投影和区域范围
m = Basemap(projection='mill',llcrnrlat=20,urcrnrlat=50,
            llcrnrlon=100,urcrnrlon=160,resolution='c')

# 使用Basemap对象来获取某个地区的地理坐标数据
lons, lats = m.makegrid(81, 61)

# 生成一些随机数据
data = np.random.rand(len(lons), len(lats))

# 创建一个Figure对象
fig = plt.figure()

# 创建一个Axes3D对象
ax = fig.add_subplot(111, projection='3d')

# 绘制3D图表
ax.plot_surface(lons, lats, data)

# 设置图表的样式
ax.set_xlabel('Longitude')
ax.set_ylabel('Latitude')
ax.set_zlabel('Data')
ax.set_title('3D Geographical Chart')

# 显示图表
plt.show()
Copy after login

Summary:

By using the Python programming language and some popular Library, we can easily draw various types of 3D geographical charts. The above sample code shows how to use Matplotlib, Basemap and mpl_toolkits.mplot3d library to draw 3D geographical charts. You can adjust the chart's style and settings to suit your needs. Hope this article can help you draw beautiful 3D geographical charts in Python.

The above is the detailed content of How to draw a 3D geographic chart with Python. 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)
2 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Repo: How To Revive Teammates
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Hello Kitty Island Adventure: How To Get Giant Seeds
3 weeks 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)

How to efficiently integrate Node.js or Python services under LAMP architecture? How to efficiently integrate Node.js or Python services under LAMP architecture? Apr 01, 2025 pm 02:48 PM

Many website developers face the problem of integrating Node.js or Python services under the LAMP architecture: the existing LAMP (Linux Apache MySQL PHP) architecture website needs...

What is the reason why pipeline persistent storage files cannot be written when using Scapy crawler? What is the reason why pipeline persistent storage files cannot be written when using Scapy crawler? Apr 01, 2025 pm 04:03 PM

When using Scapy crawler, the reason why pipeline persistent storage files cannot be written? Discussion When learning to use Scapy crawler for data crawler, you often encounter a...

What is the reason why the Python process pool handles concurrent TCP requests and causes the client to get stuck? What is the reason why the Python process pool handles concurrent TCP requests and causes the client to get stuck? Apr 01, 2025 pm 04:09 PM

Python process pool handles concurrent TCP requests that cause client to get stuck. When using Python for network programming, it is crucial to efficiently handle concurrent TCP requests. ...

How to view the original functions encapsulated internally by Python functools.partial object? How to view the original functions encapsulated internally by Python functools.partial object? Apr 01, 2025 pm 04:15 PM

Deeply explore the viewing method of Python functools.partial object in functools.partial using Python...

How to solve the permissions problem encountered when viewing Python version in Linux terminal? How to solve the permissions problem encountered when viewing Python version in Linux terminal? Apr 01, 2025 pm 05:09 PM

Solution to permission issues when viewing Python version in Linux terminal When you try to view Python version in Linux terminal, enter python...

Python Cross-platform Desktop Application Development: Which GUI Library is the best for you? Python Cross-platform Desktop Application Development: Which GUI Library is the best for you? Apr 01, 2025 pm 05:24 PM

Choice of Python Cross-platform desktop application development library Many Python developers want to develop desktop applications that can run on both Windows and Linux systems...

Python hourglass graph drawing: How to avoid variable undefined errors? Python hourglass graph drawing: How to avoid variable undefined errors? Apr 01, 2025 pm 06:27 PM

Getting started with Python: Hourglass Graphic Drawing and Input Verification This article will solve the variable definition problem encountered by a Python novice in the hourglass Graphic Drawing Program. Code...

How to efficiently count and sort large product data sets in Python? How to efficiently count and sort large product data sets in Python? Apr 01, 2025 pm 08:03 PM

Data Conversion and Statistics: Efficient Processing of Large Data Sets This article will introduce in detail how to convert a data list containing product information to another containing...

See all articles