Jupyter Notebook-在函数内部绘制-未绘制图形

Question

我想从一个要绘制多个图形的类中调用一个函数。没有引发任何错误，但我没有收到图，而只是：

#############################################
Histograms of the continuous data:
#############################################
<Figure size 640x480 with 1 Axes>
<Figure size 640x480 with 1 Axes>
<Figure size 640x480 with 1 Axes>
<Figure size 640x480 with 1 Axes>
<Figure size 640x480 with 1 Axes>
<Figure size 640x480 with 1 Axes>
<Figure size 640x480 with 1 Axes>
<Figure size 640x480 with 1 Axes>
<Figure size 640x480 with 1 Axes>
<Figure size 640x480 with 1 Axes>
<Figure size 640x480 with 1 Axes>
<Figure size 640x480 with 1 Axes>

我使用的代码是：

class Pipeline:
    import matplotlib.pyplot as plt
    global plt
    from matplotlib import style
    style.use('ggplot')  


    def __init__(self,goal):
        self.goal = goal


    def examine(self,dataset):
        # Check for categorical and continous data
        continuous = []
        categorical = []
        for n,i in enumerate(dataset.columns):
            if isinstance(dataset[i][1],str):
                categorical.append(dataset.columns[n])
            else:
                continuous.append(dataset.columns[n])

        continuous_data = dataset[continuous]
        categorical_data = dataset[categorical]

        #Plot the histograms of the continuous data
        print('#############################################')
        print('Histograms of the continuous data:')
        print('#############################################')

        for col in continuous_data.columns:
            fig = plt.figure()
            ax = continuous_data[col].hist()
            ax.set_title(col)
            plt.show()







pipe = Pipeline('C')
pipe.examine(data)

我想知道是因为如果我第二次运行相同的代码，它将按照建议的方式绘制图形。感谢任何帮助！

Answer 1

您似乎正在使用Jupyter。要在Jupyter中显示地块，您可以添加

%matplotlib inline

要么

%matplotlib notebook

（用于稍微花哨的绘图选项）