>我不断收到错误
ModuleNotFoundError: No module named 'sklearn.externals.six'
运行以下代码时：
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
import pandas as pd
import mglearn
import numpy as np
from IPython.display import display
import matplotlib as pl
import sklearn
iris_dataset = load_iris()
X_train, X_test, y_train, y_test = train_test_split(iris_dataset['data'], iris_dataset['target'], random_state=0)
iris_dataframe = pd.DataFrame(X_train, columns=iris_dataset.feature_names)
pd.plotting.scatter_matrix(iris_dataframe, c=y_train, figsize=(15, 15), marker='o', hist_kwds={'bins':20}, s=60, alpha=.8, cmap=mglearn.cm3)
是否有尚未导入或安装的模块？
你可以使用下面这样的东西。
from six import StringIO
您可以使用官方的六包。 首先使用：pip install six安装六个 然后导入模块。无需降级scikit-learn。
模块sklearn.externals.six在0.23版本中删除。 如果要使用此模块，则必须降级到版本 0.22 或更低版本。
你可以试试这个：-
import six
import sys
sys.modules['sklearn.externals.six'] = six
它对我有用。
礼貌 - https://github.com/alkaline-ml/pmdarima/issues/355
降级你的scikit-learn版本：
在 jupyter 笔记本中：
!pip install --upgrade scikit-learn==0.20.3
在终端中：
pip install --upgrade scikit-learn==0.20.3
之后，代码将识别sklearn.external.six模块。
我只需执行以下命令即可运行您的代码：
C:Windowssystem32>pip install sklearn
Collecting sklearn
Downloading https://files.pythonhosted.org/packages/1e/7a/dbb3be0ce9bd5c8b7e3d87328e79063f8b263b2b1bfa4774cb1147bfcd3f/sklearn-0.0.tar.gz
Collecting scikit-learn (from sklearn)
Downloading https://files.pythonhosted.org/packages/7e/e5/888491b7e2c16718a68dfd8498325e8927003410b2d19ba255d8751338a5/scikit_learn-0.23.1-cp38-cp38-win_amd64.whl (6.8MB)
|████████████████████████████████| 6.8MB 2.2MB/s
Collecting joblib>=0.11 (from scikit-learn->sklearn)
Downloading https://files.pythonhosted.org/packages/b8/a6/d1a816b89aa1e9e96bcb298eb1ee1854f21662ebc6d55ffa3d7b3b50122b/joblib-0.15.1-py3-none-any.whl (298kB)
|████████████████████████████████| 307kB 3.2MB/s
Collecting threadpoolctl>=2.0.0 (from scikit-learn->sklearn)
Downloading https://files.pythonhosted.org/packages/db/09/cab2f398e28e9f183714afde872b2ce23629f5833e467b151f18e1e08908/threadpoolctl-2.0.0-py3-none-any.whl
Requirement already satisfied: numpy>=1.13.3 in c:python38libsite-packages (from scikit-learn->sklearn) (1.18.4)
Collecting scipy>=0.19.1 (from scikit-learn->sklearn)
Downloading https://files.pythonhosted.org/packages/f8/b9/98a75846fdda3756ce75705b518dde4c599ba419d11415ce3fe1ebc4a885/scipy-1.4.1-cp38-cp38-win_amd64.whl (31.0MB)
|████████████████████████████████| 31.0MB 1.1MB/s
Installing collected packages: joblib, threadpoolctl, scipy, scikit-learn, sklearn
Running setup.py install for sklearn ... done
Successfully installed joblib-0.15.1 scikit-learn-0.23.1 scipy-1.4.1 sklearn-0.0 threadpoolctl-2.0.0
WARNING: You are using pip version 19.2.3, however version 20.1.1 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.
C:Windowssystem32>pip install mglearn
Collecting mglearn
Downloading https://files.pythonhosted.org/packages/65/38/8aced26fce0b2ae82c3c87cd3b6105f38ca6d9d51704ecc44aa54473e6b9/mglearn-0.1.9.tar.gz (540kB)
|████████████████████████████████| 542kB 1.3MB/s
Requirement already satisfied: numpy in c:python38libsite-packages (from mglearn) (1.18.4)
Requirement already satisfied: matplotlib in c:python38libsite-packages (from mglearn) (3.2.1)
Requirement already satisfied: scikit-learn in c:python38libsite-packages (from mglearn) (0.23.1)
Requirement already satisfied: pandas in c:python38libsite-packages (from mglearn) (1.0.3)
Collecting pillow (from mglearn)
Downloading https://files.pythonhosted.org/packages/91/9e/1b45eed618c35010d8cc3ba57f12baf09af37054665b7cdf79aafa93ed75/Pillow-7.1.2-cp38-cp38-win_amd64.whl (2.0MB)
|████████████████████████████████| 2.0MB 2.2MB/s
Requirement already satisfied: cycler in c:python38libsite-packages (from mglearn) (0.10.0)
Collecting imageio (from mglearn)
Downloading https://files.pythonhosted.org/packages/4c/2b/9dd19644f871b10f7e32eb2dbd6b45149c350b4d5f2893e091b882e03ab7/imageio-2.8.0-py3-none-any.whl (3.3MB)
|████████████████████████████████| 3.3MB 126kB/s
Requirement already satisfied: joblib in c:python38libsite-packages (from mglearn) (0.15.1)
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:python38libsite-packages (from matplotlib->mglearn) (2.4.7)
Requirement already satisfied: kiwisolver>=1.0.1 in c:python38libsite-packages (from matplotlib->mglearn) (1.2.0)
Requirement already satisfied: python-dateutil>=2.1 in c:python38libsite-packages (from matplotlib->mglearn) (2.8.1)
Requirement already satisfied: scipy>=0.19.1 in c:python38libsite-packages (from scikit-learn->mglearn) (1.4.1)
Requirement already satisfied: threadpoolctl>=2.0.0 in c:python38libsite-packages (from scikit-learn->mglearn) (2.0.0)
Requirement already satisfied: pytz>=2017.2 in c:python38libsite-packages (from pandas->mglearn) (2020.1)
Requirement already satisfied: six in c:python38libsite-packages (from cycler->mglearn) (1.14.0)
Installing collected packages: pillow, imageio, mglearn
Running setup.py install for mglearn ... done
Successfully installed imageio-2.8.0 mglearn-0.1.9 pillow-7.1.2
WARNING: You are using pip version 19.2.3, however version 20.1.1 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.
请注意，我的系统上有这个版本的 Python：
C:Windowssystem32>python --version
Python 3.8.3
以下是我系统上的sklearn和mglearn版本：
C:Windowssystem32>pip list
...
mglearn 0.1.9
...
scikit-learn 0.23.1
...
它将在pandas 0.22模块中，因为版本升级后，它被删除了，即sklearn.external.six。 如果仍然困惑，您可以查看文档。
取决于你使用的IDE，但如果它是spyder，那么你必须使用以下代码将spyder内核添加到你的python安装中： pip install spyder-kernels
ModuleNotFoundError： 没有名为 'sklearn.externals' 的模块;"SKLEARN"不是一个包
我出现了这个错误并在这里尝试了所有内容。最终意识到我在目录中将文件命名为"sklearn.py"......
我来晚了，但这是由于 mglearn 包(内部尝试导入六个(。
您必须有一个旧版本，因为他们在 github 上发布的版本没有此问题。也许来自这本书附带的CD...
要解决此问题，请执行以下操作：pip install --upgrade mglearn
替换为我
修复的标题import six
在较新的版本中，来自io导入StringIO可以提供帮助，而不是来自sklearn.externals.six import StringIO
您可以使用以下代码行：
import six
你必须先升级你的sklearn
pip install --upgrade scikit-learn==0.20.3 使用此命令
然后
导入此
进口六 导入系统 sys.modules['sklearn.externals.six'] = six
它会为我工作..希望你也
pip install --upgrade scikit-learn==0.20.3