上述代码报错C:\Users\Administrator\AppData\Local\Programs\Python\Python310\lib\site-packages\sklearn\datasets\_openml.py:968: FutureWarning: The default value of `parser` will change from `'liac-arff'` to `'auto'` in 1.4. You can set `parser='auto'` to silence this warning. Therefore, an `ImportError` will be raised from 1.4 if the dataset is dense and pandas is not installed. Note that the pandas parser may return different data types. See the Notes Section in fetch_openml's API doc for details. warn( C:\Users\Administrator\AppData\Local\Programs\Python\Python310\lib\site-packages\sklearn\preprocessing\_encoders.py:868: FutureWarning: `sparse` was renamed to `sparse_output` in version 1.2 and will be removed in 1.4. `sparse_output` is ignored unless you leave `sparse` to its default value. warnings.warn( Traceback (most recent call last): File "D:\pythonProject1\text.py", line 40, in <module> y_sample = y_train[random_index].reshape(1, -1) AttributeError: 'str' object has no attribute 'reshape'

这个错误提示告诉我们，`y_train[random_index]` 是一个字符串类型的对象，而字符串类型没有 `reshape` 方法。因此，我们需要查看代码中对 `y_train` 的处理过程，找到错误的原因并进行修正。

请注意，sklearn 中的许多数据集都是以字符串的形式存储标签的。如果需要对标签进行预处理，我们需要将其转换为数值型数据。通常，我们可以使用 LabelEncoder 或 OneHotEncoder 等方法将标签转换为数值型数据。在这里，您可以尝试添加以下代码对标签进行转换：

from sklearn.preprocessing import LabelEncoder

le = LabelEncoder()
le.fit(y_train)
y_train = le.transform(y_train)
y_sample = le.transform(y_train[random_index]).reshape(1, -1)

这里，我们使用 LabelEncoder 将字符串类型的标签转换为数值型数据。注意，如果标签有多个类别，则需要使用 OneHotEncoder 将其转换为二进制形式。

相关问题

Traceback (most recent call last): File "D:/PyCharm 2021/新建文件夹/数据转成可视化.py", line 105, in <module> map_1.render("全国疫情分布图.html") File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\pyecharts\charts\base.py", line 92, in render self._prepare_render() File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\pyecharts\charts\base.py", line 116, in _prepare_render self.json_contents = self.dump_options() File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\pyecharts\charts\base.py", line 77, in dump_options json.dumps(self.get_options(), indent=4, default=default, ignore_nan=True) File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\__init__.py", line 381, in dumps return cls( File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\encoder.py", line 300, in encode chunks = list(chunks) File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\encoder.py", line 714, in _iterencode for chunk in _iterencode_dict(o, _current_indent_level): File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\encoder.py", line 668, in _iterencode_dict for chunk in chunks: File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\encoder.py", line 735, in _iterencode for chunk in _iterencode(o, _current_indent_level): File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\encoder.py", line 714, in _iterencode for chunk in _iterencode_dict(o, _current_indent_level): File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\encoder.py", line 668, in _iterencode_dict for chunk in chunks: File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\encoder.py", line 544, in _iterencode_list for chunk in chunks: File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\encoder.py", line 620, in _iterencode_dict key = _stringify_key(key) File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\encoder.py", line 580, in _stringify_key raise TypeError('keys must be str, int, float, bool or None, ' TypeError: keys must be str, int, float, bool or None, not builtin_function_or_method

这个错误是由于在使用pyecharts库时，传入了一个非法的键（key），导致无法将其转换为JSON格式。根据错误信息，这个键的类型是内置函数或方法（builtin_function_or_method），而JSON只支持字符串（str）、整数（int）、浮点数（float）、布尔值（bool）或None类型的键。

要解决这个问题，你需要检查代码中使用pyecharts库的部分，确认传入的键是合法的类型。如果有使用内置函数或方法作为键的情况，需要修改代码，将其转换为合法类型的键，例如字符串。

如果你无法确定出现问题的具体代码，请提供更多关于你使用pyecharts库的代码片段，我可以帮你进一步分析和解决问题。

Traceback (most recent call last): File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\Scripts\pip-script.py", line 9, in <module> load_entry_point('pip==8.1.2', 'console_scripts', 'pip')() File "c:\users\administrator\appdata\local\programs\python\python35\lib\site-packages\pkg_resources\__init__.py", line 558, in load_entry_point return get_distribution(dist).load_entry_point(group, name) File "c:\users\administrator\appdata\local\programs\python\python35\lib\site-packages\pkg_resources\__init__.py", line 2682, in load_entry_point return ep.load() File "c:\users\administrator\appdata\local\programs\python\python35\lib\site-packages\pkg_resources\__init__.py", line 2355, in load return self.resolve() File "c:\users\administrator\appdata\local\programs\python\python35\lib\site-packages\pkg_resources\__init__.py", line 2361, in resolve module = __import__(self.module_name, fromlist=['__name__'], level=0) File "c:\users\administrator\appdata\local\programs\python\python35\lib\site-packages\pip-8.1.2-py3.5.egg\pip\__init__.py", line 18, in <module> from pip.commands import get_summaries, get_similar_commands File "c:\users\administrator\appdata\local\programs\python\python35\lib\site-packages\pip-8.1.2-py3.5.egg\pip\commands\__init__.py", line 14, in <module> from pip.commands.install import InstallCommand File "c:\users\administrator\appdata\local\programs\python\python35\lib\site-packages\pip-8.1.2-py3.5.egg\pip\commands\install.py", line 10, in <module> import wheel File "c:\users\administrator\appdata\local\programs\python\python35\lib\site-packages\wheel\__init__.py", line 1 from __future__ import annotations SyntaxError: future feature annotations is not defined

这个错误是由于在Python 3.5版本中不支持`from __future__ import annotations`这个特性引起的。这个特性在Python 3.7及更高版本中才被引入。

为了解决这个问题，您可以尝试更新您的Python版本到3.7或更高版本。或者，您可以尝试使用较早的h5py版本，该版本不依赖于`wheel`库。您可以尝试安装h5py 2.9.0版本，它是一个较早的版本，与Python 3.5兼容：

pip install h5py==2.9.0

请注意，这是h5py的特定版本，如果您使用的是其他Python版本，可能需要安装不同的h5py版本。另外，请确保在尝试安装h5py之前，您的Python解释器版本确实是3.5.0。

如果问题仍然存在，请提供更多的错误信息和上下文，以便我们能够更好地帮助您解决问题。