如何在PyCharm IDE中折叠选定的几行代码?

如何在PyCharm IDE中折叠选定的几行代码?,pycharm,code-cleanup,folding,Pycharm,Code Cleanup,Folding,如何在PyCharm Ide中折叠选定的几行代码 例如,我想折叠下图所示的选定代码行: 我已经找到了解决办法 步骤: 选择要折叠的代码行,然后按CTRL+。(CTRL+Dot) 或 右键单击并导航到折叠->单击“折叠选择/删除区域”选项 截图: 结果: # Importing the dataset dataset = pd.read_csv('Churn_Modelling.csv') X = dataset.iloc[:, 3:13].values y = dataset.iloc[:

如何在PyCharm Ide中折叠选定的几行代码

例如,我想折叠下图所示的选定代码行:


我已经找到了解决办法

步骤:

  • 选择要折叠的代码行,然后按CTRL+。(CTRL+Dot)
  • 右键单击并导航到折叠->单击“折叠选择/删除区域”选项
  • 截图:

    结果:

    # Importing the dataset
    dataset = pd.read_csv('Churn_Modelling.csv')
    X = dataset.iloc[:, 3:13].values
    y = dataset.iloc[:, 13].values
    
    # Encoding categorical data
    from sklearn.preprocessing import LabelEncoder, OneHotEncoder
    labelencoder_X_1 = LabelEncoder()
    X[:, 1] = labelencoder_X_1.fit_transform(X[:, 1])
    labelencoder_X_2 = LabelEncoder()
    X[:, 2] = labelencoder_X_2.fit_transform(X[:, 2])
    onehotencoder = OneHotEncoder(categorical_features = [1])
    X = onehotencoder.fit_transform(X).toarray()
    X = X[:, 1:]
    
    # Splitting the dataset into the Training set and Test set
    from sklearn.model_selection import train_test_split
    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 0)