用python画折线图、柱状图、饼图

最新推荐文章于 2024-04-20 15:43:44 发布

原创最新推荐文章于 2024-04-20 15:43:44 发布 · 4.5k 阅读

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本文介绍了如何使用Python进行数据可视化，包括绘制折线图、柱状图和饼图。通过示例代码展示了如何利用numpy、matplotlib和scipy库创建图表，详细列举了各个国家的数据量，并提供了完整的Python代码示例。

labels = [‘USA’, ‘China’, ‘India’, ‘Japan’, ‘Germany’, ‘Russia’, ‘Brazil’, ‘UK’, ‘France’, ‘Italy’]

quants = [15094025.0, 11299967.0, 4457784.0, 4440376.0, 3099080.0, 2383402.0, 2293954.0, 2260803.0, 2217900.0,18469]

1.折线图

def draw_line(labels,quants):  
    ind = np.linspace(0,9,10)  
    fig = plt.figure(1)  
    ax  = fig.add_subplot(111)  
    ax.plot(ind,quants)  
    ax.set_title('Top 10 GDP Countries', bbox={'facecolor':'0.8', 'pad':5})  
    ax.set_xticklabels(labels)  
    plt.grid(True)  
plt.show()

这里写图片描述

2.柱状图

def draw_line(labels,quants):  
    ind = np.linspace(0,9,10)  
    fig = plt.figure(1)  
    ax  = fig.add_subplot(111)  
    ax.plot(ind,quants)  
    ax.set_title('Top 10 GDP Countries', bbox={'facecolor':'0.8', 'pad':5})  
    ax.set_xticklabels(labels)  
    plt.grid(True)  
plt.show()

这里写图片描述

3.饼图

def draw_pie(labels,quants):  
    plt.figure(1, figsize=(6,6))  
    # For China, make the piece explode a bit  
    expl = [0,0.1,0,0,0,0,0,0,0,0]  
    # Colors used. Recycle if not enough.  
    colors  = ["blue","red","coral","green","yellow","orange"]  
    # autopct: format of "percent" string;  
    plt.pie(quants, explode=expl, colors=colors, labels=labels, autopct='%1.1f%%',pctdistance=0.8, shadow=True)  
    plt.title('Top 10 GDP Countries', bbox={'facecolor':'0.8', 'pad':5})  
plt.show()

这里写图片描述

ps：需要用到numpy、matplotlib、scipy
所以需要加上import
用spyder
完整代码如下：

import numpy as np  
import matplotlib.pyplot as plt  
import matplotlib as mpl  
以上三个代码块
labels   = ['USA', 'China', 'India', 'Japan', 'Germany', 'Russia', 'Brazil', 'UK', 'France', 'Italy']  
quants   = [15094025.0, 11299967.0, 4457784.0, 4440376.0, 3099080.0, 2383402.0, 2293954.0, 2260803.0, 2217900.0,1846950.0]  
draw_pie(labels,quants)  
draw_bar(labels,quants)  
draw_line(labels,quants)