一个matplotlib绘制直方图/条形图的实例

一时失言乱红尘 2022-02-19 23:21 268阅读 0赞

分析的数据是这样子的csv文件，内容是外国读者对红楼梦的情感评价。  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dqaDI2MjIwNzUxMjc_size_16_color_FFFFFF_t_70]  
生成的图片：  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dqaDI2MjIwNzUxMjc_size_16_color_FFFFFF_t_70 1]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dqaDI2MjIwNzUxMjc_size_16_color_FFFFFF_t_70 2]

代码：

import matplotlib.pyplot as plt
    import matplotlib as plot
    import numpy as np
    import pandas as pd
    plt.style.use('fivethirtyeight')
    plot.rcParams['font.sans-serif']=['SimHei']
    plt.rcParams['axes.unicode_minus']=False
    
    csv_file = pd.read_csv('result.csv')
    plt.hist(csv_file['score'])
    plt.title("频次分布直方图")
    for a,b in enumerate(csv_file['score']):
        plt.text(a,b+0.1,'%s' %b,va='center')
    plt.savefig('频次直方图.png')
    
    judges = csv_file['result']
    a, b, c = (0, 0, 0)
    for each in judges:
        if each == '积极':
            a += 1
        elif each == '中立':
            b += 1
        else:
            c += 1
    pos = a
    mid = b
    neg = c
    judge_txt = ['积极', '中立', '消极']
    plt.bar(judge_txt, [a, b, c], align='center')
    plt.title("外国读者对红楼梦的评价")
    plt.ylim([0, 450])
    plt.savefig('条形图.png')
    
    all = len(judges)
    print("有{}的人对红楼梦持积极看法，占比{}%".format(pos, pos / all))
    print("有{}的人对红楼梦持中立看法，占比{}%".format(mid, mid / all))
    print("有{}的人对红楼梦持消极看法，占比{}%".format(neg, neg / all))

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