Jupyter 笔记本 - 函数内部绘图 - 图形未绘制

Question

我想从一个类中调用一个函数，我想在其中绘制几个数字。 没有抛出错误，但我没有收到情节，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，因为如果我第二次运行相同的代码，它会按照建议绘制数字。 感谢任何帮助！

Answer 1

看起来你正在使用Jupyter。要在Jupyter中显示绘图，您可以添加以下任一

%matplotlib inline

或

%matplotlib notebook

(对于稍微花哨的绘图选项(