pycharm中使用plt.show（）的兼容性错误

Question

我想根据pycharm中的以下代码绘制pca组件图。

import numpy as np

import matplotlib.pyplot as plt

from sklearn import linear_model, decomposition, datasets

from sklearn.pipeline import Pipeline

from sklearn.model_selection import GridSearchCV

logistic = linear_model.LogisticRegression()

pca = decomposition.PCA()

pipe = Pipeline(steps = [('pca',pca), ('logistic', logistic)])

digits = datasets.load_digits()

x_digits = digits.data

y_digits = digits.target

# plot pca spectrum

pca.fit(x_digits)

plt.figure(1, figsize=(4,3))

# clear the current figure

plt.clf()

# add axes

plt.axes([.2,.2,.7,.7])

plt.plot(pca.explained_variance_, linewidth = 2)

plt.xlabel('n_components')

plt.ylabel('explained_variance_')

# prediction

n_comp = [20, 40, 64]

# logspace default is base 10, this is 10^-4 to 10^4

cs = np.logspace(-4, 4, 3)

# parameters of pipelines can be set using '__' separated parameter names:

estimator = GridSearchCV(pipe,

                         dict(pca__n_components = n_comp,

                              logistic__C = cs))

estimator.fit(x_digits, y_digits)

plt.axvline(estimator.best_estimator_.named_steps['pca'].n_components,

            linestyle = ':',label = 'n_compoenents chosen')

plt.legend(prop = dict(size = 12))

plt.axis('tight')

plt.show()

我在spyder中尝试了相同的代码，但效果却令人吃惊。

pycharm plot设置有什么问题？spyder和pycharm都使用python 3.5。

Answer 1

快速解决方案：在Pycharm中禁用Python Scientific plot窗口（然后它将使用默认的matplotlib后端）File > Settings > Tools >  Python > show plots in tool window