细节设置

怼烎@ 2023-06-20 06:06 40阅读 0赞

1.  绘图
    
        import pandas as pd
        import matplotlib.pyplot as plt
        
        women_degrees = pd.read_csv('percent-bachelors-degrees-women-usa.csv')
        plt.plot(women_degrees['Year'], women_degrees['Biology'])
        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.  legend
    
        #100-women_degrees means men
        plt.plot(women_degrees['Year'], women_degrees['Biology'], c='blue', label='Women')
        plt.plot(women_degrees['Year'], 100-women_degrees['Biology'], c='green', label='Men')
        plt.legend(loc='upper right')
        plt.title('Percentage of Biology Degrees Awarded By Gender')
        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]
3.  设置样式
    
        fig, ax = plt.subplots()
        ax.plot(women_degrees['Year'], women_degrees['Biology'], label='Women')
        ax.plot(women_degrees['Year'], 100-women_degrees['Biology'], label='Men')
        
        ax.tick_params(bottom="off", top="off", left="off", right="off")
        ax.set_title('Percentage of Biology Degrees Awarded By Gender')
        ax.legend(loc="upper right")
        
        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.  设置边框样式
    
        fig, ax = plt.subplots()
        ax.plot(women_degrees['Year'], women_degrees['Biology'], c='blue', label='Women')
        ax.plot(women_degrees['Year'], 100-women_degrees['Biology'], c='green', label='Men')
        ax.tick_params(bottom="off", top="off", left="off", right="off")
        
        for key,spine in ax.spines.items():
            spine.set_visible(False)
        # End solution code.
        ax.legend(loc='upper right')
        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.  综合示例
    
        major_cats = ['Biology', 'Computer Science', 'Engineering', 'Math and Statistics']
        fig = plt.figure(figsize=(12, 12))
        
        for sp in range(0,4):
            ax = fig.add_subplot(2,2,sp+1)
            ax.plot(women_degrees['Year'], women_degrees[major_cats[sp]], c='blue', label='Women')
            ax.plot(women_degrees['Year'], 100-women_degrees[major_cats[sp]], c='green', label='Men')
            # Add your code here.
        
        # Calling pyplot.legend() here will add the legend to the last subplot that was created.
        plt.legend(loc='upper right')
        plt.show()
        
        major_cats = ['Biology', 'Computer Science', 'Engineering', 'Math and Statistics']
        fig = plt.figure(figsize=(12, 12))
        
        for sp in range(0,4):
            ax = fig.add_subplot(2,2,sp+1)
            ax.plot(women_degrees['Year'], women_degrees[major_cats[sp]], c='blue', label='Women')
            ax.plot(women_degrees['Year'], 100-women_degrees[major_cats[sp]], c='green', label='Men')
            for key,spine in ax.spines.items():
                spine.set_visible(False)
            ax.set_xlim(1968, 2011)
            ax.set_ylim(0,100)
            ax.set_title(major_cats[sp])
            ax.tick_params(bottom="off", top="off", left="off", right="off")
        
        # Calling pyplot.legend() here will add the legend to the last subplot that was created.
        plt.legend(loc='upper right')
        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]  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MjI2MDEwMg_size_16_color_FFFFFF_t_70 5]
6.  颜色的使用
    
        #Color
        import pandas as pd
        import matplotlib.pyplot as plt
        
        women_degrees = pd.read_csv('percent-bachelors-degrees-women-usa.csv')
        major_cats = ['Biology', 'Computer Science', 'Engineering', 'Math and Statistics']
        
        
        cb_dark_blue = (0/255, 107/255, 164/255)
        cb_orange = (255/255, 128/255, 14/255)
        
        fig = plt.figure(figsize=(12, 12))
        
        for sp in range(0,4):
            ax = fig.add_subplot(2,2,sp+1)
            # The color for each line is assigned here.
            ax.plot(women_degrees['Year'], women_degrees[major_cats[sp]], c=cb_dark_blue, label='Women')
            ax.plot(women_degrees['Year'], 100-women_degrees[major_cats[sp]], c=cb_orange, label='Men')
            for key,spine in ax.spines.items():
                spine.set_visible(False)
            ax.set_xlim(1968, 2011)
            ax.set_ylim(0,100)
            ax.set_title(major_cats[sp])
            ax.tick_params(bottom="off", top="off", left="off", right="off")
        
        plt.legend(loc='upper right')
        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 6]
7.  线宽
    
        #Setting Line Width
        cb_dark_blue = (0/255, 107/255, 164/255)
        cb_orange = (255/255, 128/255, 14/255)
        
        fig = plt.figure(figsize=(12, 12))
        
        for sp in range(0,4):
            ax = fig.add_subplot(2,2,sp+1)
            # Set the line width when specifying how each line should look.
            ax.plot(women_degrees['Year'], women_degrees[major_cats[sp]], c=cb_dark_blue, label='Women', linewidth=10)
            ax.plot(women_degrees['Year'], 100-women_degrees[major_cats[sp]], c=cb_orange, label='Men', linewidth=10)
            for key,spine in ax.spines.items():
                spine.set_visible(False)
            ax.set_xlim(1968, 2011)
            ax.set_ylim(0,100)
            ax.set_title(major_cats[sp])
            ax.tick_params(bottom="off", top="off", left="off", right="off")
        
        plt.legend(loc='upper right')
        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 7]
8.  调整图片大小
    
        stem_cats = ['Engineering', 'Computer Science', 'Psychology', 'Biology', 'Physical Sciences', 'Math and Statistics']
        fig = plt.figure(figsize=(18, 3))
        
        for sp in range(0,6):
            ax = fig.add_subplot(1,6,sp+1)
            ax.plot(women_degrees['Year'], women_degrees[stem_cats[sp]], c=cb_dark_blue, label='Women', linewidth=3)
            ax.plot(women_degrees['Year'], 100-women_degrees[stem_cats[sp]], c=cb_orange, label='Men', linewidth=3)
            for key,spine in ax.spines.items():
                spine.set_visible(False)
            ax.set_xlim(1968, 2011)
            ax.set_ylim(0,100)
            ax.set_title(stem_cats[sp])
            ax.tick_params(bottom="off", top="off", left="off", right="off")
        
        plt.legend(loc='upper right')
        plt.show()
    
    运行结果：  
    ![在这里插入图片描述][20191207230203992.png]
9.  在图上添加标记
    
        import pandas as pd
        import matplotlib.pyplot as plt
        fig = plt.figure(figsize=(18, 3))
        
        for sp in range(0,6):
            ax = fig.add_subplot(1,6,sp+1)
            ax.plot(women_degrees['Year'], women_degrees[stem_cats[sp]], c=cb_dark_blue, label='Women', linewidth=3)
            ax.plot(women_degrees['Year'], 100-women_degrees[stem_cats[sp]], c=cb_orange, label='Men', linewidth=3)
            for key,spine in ax.spines.items():
                spine.set_visible(False)
            ax.set_xlim(1968, 2011)
            ax.set_ylim(0,100)
            ax.set_title(stem_cats[sp])
            ax.tick_params(bottom="off", top="off", left="off", right="off")
        plt.legend(loc='upper right')
        plt.show()
        fig = plt.figure(figsize=(18, 3))
        
        for sp in range(0,6):
            ax = fig.add_subplot(1,6,sp+1)
            ax.plot(women_degrees['Year'], women_degrees[stem_cats[sp]], c=cb_dark_blue, label='Women', linewidth=3)
            ax.plot(women_degrees['Year'], 100-women_degrees[stem_cats[sp]], c=cb_orange, label='Men', linewidth=3)
            for key,spine in ax.spines.items():
                spine.set_visible(False)
            ax.set_xlim(1968, 2011)
            ax.set_ylim(0,100)
            ax.set_title(stem_cats[sp])
            ax.tick_params(bottom="off", top="off", left="off", right="off")
            
            if sp == 0:
                ax.text(2005, 87, 'Men')
                ax.text(2002, 8, 'Women')
            elif sp == 5:
                ax.text(2005, 62, 'Men')
                ax.text(2001, 35, 'Women')
        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 8]

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[20191207230203992.png]: https://img-blog.csdnimg.cn/20191207230203992.png
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