柱形图和盒图

电玩女神 2023-06-20 06:05 16阅读 0赞

1.  读取数据
    
        import pandas as pd
        import matplotlib.pyplot as plt
        reviews = pd.read_csv('fandango_scores.csv')
        cols = ['FILM', 'RT_user_norm', 'Metacritic_user_nom', 'IMDB_norm', 'Fandango_Ratingvalue']
        norm_reviews = reviews[cols]
        print(norm_reviews[:5])
    
    运行结果：  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MjI2MDEwMg_size_16_color_FFFFFF_t_70]
2.  打印每个值对应的数据个数
    
        fandango_distribution = norm_reviews['Fandango_Ratingvalue'].value_counts()
        fandango_distribution = fandango_distribution.sort_index()
        
        imdb_distribution = norm_reviews['IMDB_norm'].value_counts()
        imdb_distribution = imdb_distribution.sort_index()
        
        print(fandango_distribution)
        print(imdb_distribution)
    
    运行结果：  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MjI2MDEwMg_size_16_color_FFFFFF_t_70 1]
3.  数据压缩，不指定默认bins为10
    
        fig, ax = plt.subplots()
        ax.hist(norm_reviews['Fandango_Ratingvalue'])
        #ax.hist(norm_reviews['Fandango_Ratingvalue'],bins=20)
        #ax.hist(norm_reviews['Fandango_Ratingvalue'], range=(4, 5),bins=20)
        plt.show()
    
    运行结果：  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MjI2MDEwMg_size_16_color_FFFFFF_t_70 2]
4.  指定个数
    
        fig, ax = plt.subplots()
        #ax.hist(norm_reviews['Fandango_Ratingvalue'])
        ax.hist(norm_reviews['Fandango_Ratingvalue'],bins=20)
        #ax.hist(norm_reviews['Fandango_Ratingvalue'], range=(4, 5),bins=20)
        plt.show()
    
    运行结果：  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MjI2MDEwMg_size_16_color_FFFFFF_t_70 3]
5.  指定区间
    
        fig, ax = plt.subplots()
        #ax.hist(norm_reviews['Fandango_Ratingvalue'])
        #ax.hist(norm_reviews['Fandango_Ratingvalue'],bins=20)
        ax.hist(norm_reviews['Fandango_Ratingvalue'], range=(4, 5),bins=20)
        plt.show()
    
    运行结果：  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MjI2MDEwMg_size_16_color_FFFFFF_t_70 4]
6.  综合应用
    
        fig = plt.figure(figsize=(5,20))
        ax1 = fig.add_subplot(4,1,1)
        ax2 = fig.add_subplot(4,1,2)
        ax3 = fig.add_subplot(4,1,3)
        ax4 = fig.add_subplot(4,1,4)
        ax1.hist(norm_reviews['Fandango_Ratingvalue'], bins=20, range=(0, 5))
        ax1.set_title('Distribution of Fandango Ratings')
        ax1.set_ylim(0, 50)
        
        ax2.hist(norm_reviews['RT_user_norm'], 20, range=(0, 5))
        ax2.set_title('Distribution of Rotten Tomatoes Ratings')
        ax2.set_ylim(0, 50)
        
        ax3.hist(norm_reviews['Metacritic_user_nom'], 20, range=(0, 5))
        ax3.set_title('Distribution of Metacritic Ratings')
        ax3.set_ylim(0, 50)
        
        ax4.hist(norm_reviews['IMDB_norm'], 20, range=(0, 5))
        ax4.set_title('Distribution of IMDB Ratings')
        ax4.set_ylim(0, 50)
        
        plt.show()
    
    运行结果：  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MjI2MDEwMg_size_16_color_FFFFFF_t_70 5]  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MjI2MDEwMg_size_16_color_FFFFFF_t_70 6]  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MjI2MDEwMg_size_16_color_FFFFFF_t_70 7]  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MjI2MDEwMg_size_16_color_FFFFFF_t_70 8]
7.  盒图初步
    
        fig, ax = plt.subplots()
        ax.boxplot(norm_reviews['RT_user_norm'])
        ax.set_xticklabels(['Rotten Tomatoes'])
        ax.set_ylim(0, 5)
        plt.show()
    
    运行结果：  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MjI2MDEwMg_size_16_color_FFFFFF_t_70 9]
8.  多个列
    
        num_cols = ['RT_user_norm', 'Metacritic_user_nom', 'IMDB_norm', 'Fandango_Ratingvalue']
        fig, ax = plt.subplots()
        ax.boxplot(norm_reviews[num_cols].values)
        ax.set_xticklabels(num_cols, rotation=90)
        ax.set_ylim(0,5)
        plt.show()
    
    运行结果：  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MjI2MDEwMg_size_16_color_FFFFFF_t_70 10]

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