D:\py\venv\lib\site-packages\matplotlib\axes\_axes.py:3201: RuntimeWarning: invalid value encountered in divide x = x / sx Traceback (most recent call last): File "D:\py\PyCharm Community Edition 2023.1.2\饼图.py", line 36, in <module> wedges, texts, autotexts = plt.pie(sizes, autopct='%1.1f%%', explode=expodes, labels=labels, shadow=True, colors=colors) File "D:\py\venv\lib\site-packages\matplotlib\pyplot.py", line 2799, in pie return gca().pie( File "D:\py\venv\lib\site-packages\matplotlib\__init__.py", line 1472, in inner return func(ax, *map(sanitize_sequence, args), **kwargs) File "D:\py\venv\lib\site-packages\matplotlib\axes\_axes.py", line 3209, in pie raise ValueError("'label' must be of length 'x'") ValueError: 'label' must be of length 'x'
时间: 2023-07-21 13:29:44 浏览: 183
这个错误的原因是 `labels` 参数的长度与 `sizes` 参数的长度不一致。请检查你的代码并确认 `labels` 参数的长度与 `sizes` 参数的长度相同。如果你的 `labels` 列表长度不够,可以将其余部分设置为空字符串,例如:
```python
labels = ['A', 'B', 'C', 'D']
sizes = [10, 20, 30, 40]
colors = ['red', 'green', 'blue', 'yellow']
# 将 labels 的长度扩展到与 sizes 的长度相同
labels = labels + [''] * (len(sizes) - len(labels))
wedges, texts, autotexts = plt.pie(sizes, autopct='%1.1f%%', labels=labels, colors=colors)
```
在这个例子中,我们将 `labels` 列表的长度扩展到与 `sizes` 列表的长度相同,并用空字符串填充。这样可以确保 `labels` 列表的长度和 `sizes` 列表的长度相同,避免了 `'label' must be of length 'x'` 这个错误。
相关问题
Traceback (most recent call last): File "D:\人工智能\data_process.py", line 4, in <module> import pandas as pd File "D:\人工智能\venv\lib\site-packages\pandas\__init__.py", line 55, in <module> from pandas.core.api import ( File "D:\人工智能\venv\lib\site-packages\pandas\core\api.py", line 24, in <module> from pandas.core.groupby import Grouper, NamedAgg File "D:\人工智能\venv\lib\site-packages\pandas\core\groupby\__init__.py", line 1, in <module> from pandas.core.groupby.generic import ( # noqa: F401 File "D:\人工智能\venv\lib\site-packages\pandas\core\groupby\generic.py", line 44, in <module> from pandas.core.frame import DataFrame File "D:\人工智能\venv\lib\site-packages\pandas\core\frame.py", line 115, in <module> from pandas.core.series import Series File "D:\人工智能\venv\lib\site-packages\pandas\core\series.py", line 84, in <module> import pandas.plotting File "D:\人工智能\venv\lib\site-packages\pandas\plotting\__init__.py", line 59, in <module> from pandas.plotting._core import ( File "D:\人工智能\venv\lib\site-packages\pandas\plotting\_core.py", line 17, in <module> import pandas.plotting._matplotlib # noqa File "D:\人工智能\venv\lib\site-packages\pandas\plotting\_matplotlib\__init__.py", line 3, in <module> from pandas.plotting._matplotlib.boxplot import ( File "D:\人工智能\venv\lib\site-packages\pandas\plotting\_matplotlib\boxplot.py", line 4, in <module> from matplotlib.artist import setp File "D:\人工智能\venv\lib\site-packages\matplotlib\__init__.py", line 107, in <module> from . import cbook, rcsetup File "D:\人工智能\venv\lib\site-packages\matplotlib\rcsetup.py", line 28, in <module> from matplotlib.fontconfig_pattern import parse_fontconfig_pattern File "D:\人工智能\venv\lib\site-packages\matplotlib\fontconfig_pattern.py", line 15, in <module> from pyparsing import (Literal, ZeroOrMore, Optional, Regex, StringEnd, File "D:\人工智能\venv\lib\site-packages\pyparsing\__init__.py", line 130, in <module> __version__ = __version_info__.__version__ AttributeError: 'version_info' object has no attribute '__version__' 进程已结束,退出代码1
这是一个 Python 的报错,提示 AttributeError: 'version_info' object has no attribute '__version__',这可能是因为在导入 pyparsing 模块时出现了问题。建议检查 pyparsing 模块的版本是否正确,或者重新安装该模块。
Traceback (most recent call last): File "D:\pythonProject\app.py", line 20, in <module> plot_data() File "D:\pythonProject\app.py", line 11, in plot_data plt.plot(data) File "D:\pythonProject\venv\lib\site-packages\matplotlib\pyplot.py", line 2812, in plot return gca().plot( File "D:\pythonProject\venv\lib\site-packages\matplotlib\axes\_axes.py", line 1688, in plot lines = [*self._get_lines(*args, data=data, **kwargs)] File "D:\pythonProject\venv\lib\site-packages\matplotlib\axes\_base.py", line 311, in __call__ yield from self._plot_args( File "D:\pythonProject\venv\lib\site-packages\matplotlib\axes\_base.py", line 465, in _plot_args raise ValueError("x, y, and format string must not be None") ValueError: x, y, and format string must not be None
这个错误提示是因为 `data` 变量的值为 `None`,导致 `plt.plot()` 函数无法绘制图表。
你需要检查一下 `get_data()` 函数的返回值是否正确,它应该返回一个包含数据的列表或数组。如果数据获取失败,可以在 `get_data()` 函数中加入异常处理代码,比如返回一个默认值或者记录错误日志。
另外,你还需要设置 x 轴的刻度,以便更好地显示数据。可以使用 `plt.xticks()` 函数设置 x 轴的刻度值和标签。
下面是改进后的代码示例:
```python
import matplotlib.pyplot as plt
from apscheduler.schedulers.background import BackgroundScheduler
# TODO: 定义获取数据的函数
def get_data():
# TODO: 获取数据的代码
# 如果获取失败,可以返回一个默认值或者记录错误日志
data = [1, 2, 3, 4, 5]
return data
# TODO: 定义绘图的函数
def plot_data():
data = get_data()
if data is None:
# 如果数据获取失败,不进行绘图
return
plt.plot(data)
plt.xticks(range(len(data)), labels=['Jan', 'Feb', 'Mar', 'Apr', 'May'])
plt.savefig('chart.png')
# 创建定时任务,并每分钟执行一次 plot_data 函数
scheduler = BackgroundScheduler()
scheduler.add_job(plot_data, 'interval', minutes=1)
scheduler.start()
# 主程序中绘制一次图表,之后将由定时任务更新图表
plot_data()
```
这个例子中,我们假设获取数据的代码失败时返回了一个默认的数据列表 `[1, 2, 3, 4, 5]`,并使用 `plt.xticks()` 函数设置了 x 轴的刻度。你需要根据实际情况修改这些代码。
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