TypeError Traceback (most recent call last) D:\Anaconda\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance) 3628 try: -> 3629 return self._engine.get_loc(casted_key) 3630 except KeyError as err: D:\Anaconda\lib\site-packages\pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc() D:\Anaconda\lib\site-packages\pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc() TypeError: '(slice(None, None, None), 0)' is an invalid key During handling of the above exception, another exception occurred: InvalidIndexError Traceback (most recent call last) ~\AppData\Local\Temp\ipykernel_5316\790738290.py in <module> ----> 1 target=wine_data[:,0] 2 data=wine_data[:,1:] D:\Anaconda\lib\site-packages\pandas\core\frame.py in __getitem__(self, key) 3503 if self.columns.nlevels > 1: 3504 return self._getitem_multilevel(key) -> 3505 indexer = self.columns.get_loc(key) 3506 if is_integer(indexer): 3507 indexer = [indexer] D:\Anaconda\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance) 3634 # InvalidIndexError. Otherwise we fall through and re-raise 3635 # the TypeError. -> 3636 self._check_indexing_error(key) 3637 raise 3638 D:\Anaconda\lib\site-packages\pandas\core\indexes\base.py in _check_indexing_error(self, key) 5649 # if key is not a scalar, directly raise an error (the code below 5650 # would convert to numpy arrays and raise later any way) - GH29926 -> 5651 raise InvalidIndexError(key) 5652 5653 @cache_readonly InvalidIndexError: (slice(None, None, None), 0)
时间: 2024-02-14 18:04:20 浏览: 227
这段代码出现了 InvalidIndexError 异常,具体来说是在获取 wine_data 的列时出现了错误。
在 Pandas 中,可以使用 DataFrame 的 iloc 或 loc 属性来获取 DataFrame 的行和列。其中,iloc 使用整数下标来获取数据,loc 使用标签名来获取数据。
在这个错误中,wine_data[:,0] 表示获取 wine_data 的第 0 列数据,而 wine_data[:,1:] 表示获取 wine_data 的第 1 列及之后的所有列数据。然而,在 Pandas 中,使用切片获取列时需要使用 loc 或 iloc 属性,否则会出现 InvalidIndexError 异常。
要解决这个错误,可以将代码修改为如下形式:
```
import pandas as pd
# 读入数据集
wine_data = pd.read_csv('wine_data.csv', header=None)
# 获取第 0 列数据为 target,第 1 列及之后的所有列数据为 data
target = wine_data.iloc[:, 0]
data = wine_data.iloc[:, 1:]
```
在这个示例中,我们使用 iloc 属性获取了 wine_data 的第 0 列作为 target,第 1 列及之后的所有列作为 data。这样就可以正确获取数据了。
相关问题
Traceback (most recent call last): File "D:\PythonProject\数据分析\plot.py", line 39, in <module> dfgroup2.plot(kind="bar") File "D:\anaconda3\lib\site-packages\pandas\plotting\_core.py", line 1000, in __call__ return plot_backend.plot(data, kind=kind, **kwargs) File "D:\anaconda3\lib\site-packages\pandas\plotting\_matplotlib\__init__.py", line 71, in plot plot_obj.generate() File "D:\anaconda3\lib\site-packages\pandas\plotting\_matplotlib\core.py", line 451, in generate self._setup_subplots() File "D:\anaconda3\lib\site-packages\pandas\plotting\_matplotlib\core.py", line 512, in _setup_subplots fig = self.plt.figure(figsize=self.figsize) File "D:\anaconda3\lib\site-packages\matplotlib\_api\deprecation.py", line 454, in wrapper return func(*args, **kwargs) File "D:\anaconda3\lib\site-packages\matplotlib\pyplot.py", line 813, in figure manager = new_figure_manager( File "D:\anaconda3\lib\site-packages\matplotlib\pyplot.py", line 382, in new_figure_manager _warn_if_gui_out_of_main_thread() File "D:\anaconda3\lib\site-packages\matplotlib\pyplot.py", line 360, in _warn_if_gui_out_of_main_thread if _get_required_interactive_framework(_get_backend_mod()): File "D:\anaconda3\lib\site-packages\matplotlib\pyplot.py", line 208, in _get_backend_mod switch_backend(rcParams._get("backend")) File "D:\anaconda3\lib\site-packages\matplotlib\pyplot.py", line 331, in switch_backend manager_pyplot_show = vars(manager_class).get("pyplot_show") TypeError: vars() argument must have __dict__ attribute
这个错误通常是因为你的matplotlib库的backend没有正确设置,或者你的代码在非交互式环境中运行。你可以尝试在代码的开头添加下面这行代码来设置matplotlib的backend:
```python
import matplotlib
matplotlib.use('TkAgg')
```
这里的'TkAgg'是一种常用的backend,你也可以根据自己的需要选择其他的backend。如果你已经设置了backend,但仍然出现这个错误,那么可能是你的代码在非交互式环境中运行。你可以尝试在交互式环境中运行代码,或者使用plt.savefig()函数将图像保存到文件中,而不是在窗口中显示。
Traceback (most recent call last): File "D:\Anaconda\lib\site-packages\folium\utilities.py", line 103, in validate_locations float(next(iter(next(iter(next(iter(locations))))))) TypeError: 'int' object is not iterable During handling of the above exception, another exception occurred: Traceback (most recent call last): File "D:/pycharm/第一周任务/改良版练习 大量数据的最终版.py", line 33, in <module> folium.PolyLine([loc1,loc2],color='blue',weight=2.5,opacity=1).add_to(m) File "D:\Anaconda\lib\site-packages\folium\vector_layers.py", line 169, in __init__ super().__init__(locations, popup=popup, tooltip=tooltip) File "D:\Anaconda\lib\site-packages\folium\vector_layers.py", line 119, in __init__ self.locations = validate_locations(locations) File "D:\Anaconda\lib\site-packages\folium\utilities.py", line 106, in validate_locations return [validate_location(coord_pair) for coord_pair in locations] File "D:\Anaconda\lib\site-packages\folium\utilities.py", line 106, in <listcomp> return [validate_location(coord_pair) for coord_pair in locations] File "D:\Anaconda\lib\site-packages\folium\utilities.py", line 48, in validate_location raise TypeError( TypeError: Location should be a sized variable, for example a list or a tuple, instead got 1 of type <class 'int'>.怎么解决?
这个错误是由于传递给`folium.PolyLine()`函数的`locations`参数类型不正确导致的。根据错误信息,`locations`应该是一个包含坐标对的列表或元组。
请确保`loc1`和`loc2`是以正确的格式传递给`folium.PolyLine()`函数。你可以使用`[loc1, loc2]`将它们放入一个列表中,如下所示:
```python
folium.PolyLine([[loc1, loc2]], color='blue', weight=2.5, opacity=1).add_to(m)
```
如果问题仍然存在,请提供相关代码的更多细节,我将尽力帮助你解决问题。
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