条形图与散点图

Love The Way You Lie 2023-06-20 06:03 14阅读 0赞

1.  取出一行数据
    
        import pandas as pd
        reviews = pd.read_csv('fandango_scores.csv')
        cols = ['FILM', 'RT_user_norm', 'Metacritic_user_nom', 'IMDB_norm', 'Fandango_Ratingvalue', 'Fandango_Stars']
        norm_reviews = reviews[cols]
        print(norm_reviews[:1])
    
    运行结果：  
    ![在这里插入图片描述][20191207204815338.png]
2.  显示柱形图
    
        import matplotlib.pyplot as plt
        from numpy import arange
        #The Axes.bar() method has 2 required parameters, left and height. 
        #We use the left parameter to specify the x coordinates of the left sides of the bar. 
        #We use the height parameter to specify the height of each bar
        num_cols = ['RT_user_norm', 'Metacritic_user_nom', 'IMDB_norm', 'Fandango_Ratingvalue', 'Fandango_Stars']
        
        bar_heights = norm_reviews.loc[0, num_cols].values
        #print bar_heights
        bar_positions = arange(5) + 0.75
        #print bar_positions
        fig, ax = plt.subplots()
        ax.bar(bar_positions, bar_heights, 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]
3.  设置坐标名称
    
        #By default, matplotlib sets the x-axis tick labels to the integer values the bars 
        #spanned on the x-axis (from 0 to 6). We only need tick labels on the x-axis where the bars are positioned. 
        #We can use Axes.set_xticks() to change the positions of the ticks to [1, 2, 3, 4, 5]:
        
        num_cols = ['RT_user_norm', 'Metacritic_user_nom', 'IMDB_norm', 'Fandango_Ratingvalue', 'Fandango_Stars']
        bar_heights = norm_reviews.loc[0, num_cols].values
        bar_positions = arange(5) + 0.75
        tick_positions = range(1,6)
        fig, ax = plt.subplots()
        
        ax.bar(bar_positions, bar_heights, 0.5)
        ax.set_xticks(tick_positions)
        ax.set_xticklabels(num_cols, rotation=45)
        
        ax.set_xlabel('Rating Source')
        ax.set_ylabel('Average Rating')
        ax.set_title('Average User Rating For Avengers: Age of Ultron (2015)')
        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 1]
4.  改变图的方向
    
        import matplotlib.pyplot as plt
        from numpy import arange
        num_cols = ['RT_user_norm', 'Metacritic_user_nom', 'IMDB_norm', 'Fandango_Ratingvalue', 'Fandango_Stars']
        
        bar_widths = norm_reviews.loc[0, num_cols].values
        bar_positions = arange(5) + 0.75
        tick_positions = range(1,6)
        fig, ax = plt.subplots()
        ax.barh(bar_positions, bar_widths, 0.5)
        
        ax.set_yticks(tick_positions)
        ax.set_yticklabels(num_cols)
        ax.set_ylabel('Rating Source')
        ax.set_xlabel('Average Rating')
        ax.set_title('Average User Rating For Avengers: Age of Ultron (2015)')
        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]
5.  散点图
    
        #Let's look at a plot that can help us visualize many points.
        fig, ax = plt.subplots()
        ax.scatter(norm_reviews['Fandango_Ratingvalue'], norm_reviews['RT_user_norm'])
        ax.set_xlabel('Fandango')
        ax.set_ylabel('Rotten Tomatoes')
        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]
6.  添加子图
    
        #Switching Axes
        fig = plt.figure(figsize=(5,10))
        ax1 = fig.add_subplot(2,1,1)
        ax2 = fig.add_subplot(2,1,2)
        ax1.scatter(norm_reviews['Fandango_Ratingvalue'], norm_reviews['RT_user_norm'])
        ax1.set_xlabel('Fandango')
        ax1.set_ylabel('Rotten Tomatoes')
        ax2.scatter(norm_reviews['RT_user_norm'], norm_reviews['Fandango_Ratingvalue'])
        ax2.set_xlabel('Rotten Tomatoes')
        ax2.set_ylabel('Fandango')
        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]

[20191207204815338.png]: https://img-blog.csdnimg.cn/20191207204815338.png
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