Pycharm 报错：AttributeError: module ‘matplotlib‘ has no attribute ‘verbose‘

最新推荐文章于 2024-03-30 23:29:50 发布
原创 最新推荐文章于 2024-03-30 23:29:50 发布 · 485 阅读 · 1 ·
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#pycharm #python #ide

此篇博客介绍了如何在PyCharm中解决matplotlib模块中出现的verbose属性错误，通过修改默认设置，禁用某个选项后问题得以解决。

问题

    verbose = matplotlib.verbose
AttributeError: module 'matplotlib' has no attribute 'verbose'

解决

这是 Pycharm 默认设置的问题：进入设置，看图去掉勾，然后应用保存，即可。

在这里插入图片描述

【异常】使用 langchain 库时提示AttributeError: module ‘langchain‘ has no attribute ‘verbose‘
本本本添哥
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假设你已经按照上述步骤操作，以下是简化的示例代码，展示如何使用。如果有，请将其重命名为其他名称，例如。创建一个最小化的示例来确认问题所在。从提供的错误信息来看，问题出在。首先，确保你的项目中没有名为。库内部的某个地方尝试访问。确保你已经安装了最新版本的。库，并且没有其他版本冲突。
报错 AttributeError: module ‘matplotlib‘ has no attribute ‘verbose‘
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报错 AttributeError: module ‘matplotlib’ has no attribute ‘verbose’ 解决方法 在pycharm中打开" File --> Settings --> Tools --> Python Scientific ",将"Show plots in toolwindow"去掉勾选，并应用。 我的问题可以解决 ...
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一、python环境。二、运行如下代码报错。
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使用matplotlib库时，会出现AttributeError: module 'matplotlib' has no attribute 'verbose'问题。 在网上寻找解决方法时，总结了几种解决方法，可以逐一尝试。 方法一：卸载后重新安装 方法二：回滚到低版本 pip3 install --upgrade matplotlib==2.1.2 但是在回滚过程中，出现了新的问题ERROR: Command errored out with exit status 1: python setup.py
AttributeError: module 'matplotlib' has no attribute 'verbose'
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解决Pycharm中matplotlib画图出错问题（AttributeError: module ‘matplotlib‘ has no attribute ‘verbose‘）
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解决Pycharm中matplotlib画图出错问题（AttributeError: module 'matplotlib' has no attribute 'verbose'）
python-BaseException Traceback (most recent call last): File "/home/chenchengzhang/pycharm/pycharm-community-2024.3.5/plugins/python-ce/helpers/pydev/pydevd.py", line 1570, in _exec pydev_imports.execfile(file, globals, locals) # execute the script File "/home/chenchengzhang/pycharm/pycharm-community-2024.3.5/plugins/python-ce/helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile exec(compile(contents+"\n", file, 'exec'), glob, loc) File "/home/chenchengzhang/PycharmProjects/PythonProject/yolo/train.py", line 129, in <module> model = YOLO(opt.cfg) File "/home/chenchengzhang/anaconda3/envs/mytorch/lib/python3.8/site-packages/ultralytics/models/yolo/model.py", line 23, in __init__ super().__init__(model=model, task=task, verbose=verbose) File "/home/chenchengzhang/anaconda3/envs/mytorch/lib/python3.8/site-packages/ultralytics/engine/model.py", line 143, in __init__ self._new(model, task=task, verbose=verbose) File "/home/chenchengzhang/anaconda3/envs/mytorch/lib/python3.8/site-packages/ultralytics/engine/model.py", line 251, in _new self.model = (model or self._smart_load("model"))(cfg_dict, verbose=verbose and RANK == -1) # build model File "/home/chenchengzhang/anaconda3/envs/mytorch/lib/python3.8/site-packages/ultralytics/nn/tasks.py", line 319, in __init__ self.model, self.save = parse_model(deepcopy(self.yaml), ch=ch, verbose=verbose) # model, savelist File "/home/chenchengzhang/anaconda3/envs/mytorch/lib/python3.8/site-packages/ultralytics/nn/tasks.py", line 950, in parse_model Conv.default_act = eval(act) # redefine default activation, i.e. Conv.default_act = nn.SiLU() File "<string>", line 1, in <module> AttributeError: module 'torch.nn' has no attribute 'Relu' Failed to enable GUI event loop integration for 'qt' Traceback (most recent call last): File "/home/chenchengzhang/pycharm/pycharm-community-2024.3.5/plugins/python-ce/helpers/pydev/pydev_ipython/matplotlibtools.py", line 33, in do_enable_gui enable_gui(guiname) File "/home/chenchengzhang/pycharm/pycharm-community-2024.3.5/plugins/python-ce/helpers/pydev/pydev_ipython/inputhook.py", line 565, in enable_gui return gui_hook(app) File "/home/chenchengzhang/pycharm/pycharm-community-2024.3.5/plugins/python-ce/helpers/pydev/pydev_ipython/inputhook.py", line 183, in enable_qt from pydev_ipython.qt_for_kernel import QT_API, QT_API_PYQT5, QT_API_PYQT6 File "/home/chenchengzhang/pycharm/pycharm-community-2024.3.5/plugins/python-ce/helpers/pydev/pydev_ipython/qt_for_kernel.py", line 124, in <module> QtCore, QtGui, QtSvg, QT_API = load_qt(api_opts) File "/home/chenchengzhang/pycharm/pycharm-community-2024.3.5/plugins/python-ce/helpers/pydev/pydev_ipython/qt_loaders.py", line 288, in load_qt raise ImportError(""" ImportError: Could not load requested Qt binding. Please ensure that PyQt4 >= 4.7 or PySide >= 1.0.3 is available, and only one is imported per session. Currently-imported Qt library: 'pyqt5' PyQt4 installed: False PyQt5 installed: False PyQt6 installed: False PySide >= 1.0.3 installed: False Tried to load: ['pyqt5'] Backend QtAgg is interactive backend. Turning interactive mode on.
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首先，对于AttributeError: module 'torch.nn' has no attribute 'Relu'： 根据引用[1]和[3]提供的思路，这类错误通常是由于拼写错误或版本不匹配导致的。 在PyTorch中，激活函数是大小写敏感的。正确的ReLU函数...
C:\Users\林灏琪\PycharmProjects\pythonProject4\.venv\Scripts\python.exe C:\Users\林灏琪\AppData\Roaming\JetBrains\PyCharm2024.1\scratches\scratch_2.py Traceback (most recent call last): File "C:\Users\林灏琪\AppData\Roaming\JetBrains\PyCharm2024.1\scratches\scratch_2.py", line 29, in <module> plt.show() File "C:\Users\林灏琪\PycharmProjects\pythonProject4\.venv\Lib\site-packages\matplotlib\pyplot.py", line 614, in show return _get_backend_mod().show(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\JetBrains\PyCharm 2024.1\plugins\python\helpers\pycharm_matplotlib_backend\backend_interagg.py", line 41, in __call__ manager.show(**kwargs) File "C:\Program Files\JetBrains\PyCharm 2024.1\plugins\python\helpers\pycharm_matplotlib_backend\backend_interagg.py", line 144, in show self.canvas.show() File "C:\Program Files\JetBrains\PyCharm 2024.1\plugins\python\helpers\pycharm_matplotlib_backend\backend_interagg.py", line 85, in show
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- **适用场景**：错误提示包含 `AttributeError: module 'matplotlib' has no attribute 'verbose'`[^3]。 - **原理**：新版 Matplotlib 可能移除了某些旧属性（如 `verbose`），导致与 PyCharm 内置插件冲突。 ---...
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最新发布
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在评估结束后绘制混淆矩阵时，出现了`AttributeError: 'FigureCanvasInterAgg' object has no attribute 'tostring_rgb'`的错误。这个错误与matplotlib在PyCharm等IDE中的后端设置有关。 另外注意到了序列结束的...
# LSTM for international airline passengers problem with regression framing import numpy import matplotlib.pyplot as plt from pandas import read_csv import math from keras.models import Sequential from keras.layers import Dense from keras.layers import LSTM from sklearn.preprocessing import MinMaxScaler from sklearn.metrics import mean_squared_error """ 用一个步长预测一个，监督学习数据类型1->1 X Y 112 118 118 132 132 129 129 121 121 135 """ # 将数据截取成1->1的监督学习格式 def create_dataset(dataset, look_back=1): dataX, dataY = [], [] for i in range(len(dataset)-look_back-1): a = dataset[i:(i+look_back), 0] dataX.append(a) dataY.append(dataset[i + look_back, 0]) return numpy.array(dataX), numpy.array(dataY) # 定义随机种子，以便重现结果 numpy.random.seed(7) # 加载数据 dataframe = read_csv('airline-passengers.csv', usecols=[1], engine='python') dataset = dataframe.values dataset = dataset.astype('float32') # 缩放数据 scaler = MinMaxScaler(feature_range=(0, 1)) dataset = scaler.fit_transform(dataset) # 分割2/3数据作为测试 train_size = int(len(dataset) * 0.67) test_size = len(dataset) - train_size train, test = dataset[0:train_size,:], dataset[train_size:len(dataset),:] # 预测数据步长为1,一个预测一个，1->1 look_back = 1 trainX, trainY = create_dataset(train, look_back) testX, testY = create_dataset(test, look_back) # 重构输入数据格式 [samples, time steps, features] = [93,1,1] trainX = numpy.reshape(trainX, (trainX.shape[0], 1, trainX.shape[1])) testX = numpy.reshape(testX, (testX.shape[0], 1, testX.shape[1])) # 构建 LSTM 网络 model = Sequential() model.add(LSTM(4, input_shape=(1, look_back))) model.add(Dense(1)) model.compile(loss='mean_squared_error', optimizer='adam') model.fit(trainX, trainY, epochs=100, batch_size=1, verbose=2) # 对训练数据的Y进行预测 trainPredict = model.predict(trainX) # 对测试数据的Y进行预测 testPredict = model.predict(testX) # 对数据进行逆缩放 trainPredict = scaler.inverse_transform(trainPredict) trainY = scaler.inverse_transform([trainY]) testPredict = scaler.inverse_transform(testPredict) testY = scaler.inverse_transform([testY]) # 计算RMSE误差 trainScore = math.sqrt(mean_squared_error(trainY[0], trainPredict[:,0])) print('Train Score: %.2f RMSE' % (trainScore)) testScore = math.sqrt(mean_squared_error(testY[0], testPredict[:,0])) print('Test Score: %.2f RMSE' % (testScore)) # 构造一个和dataset格式相同的数组，共145行，dataset为总数据集，把预测的93行训练数据存进去 trainPredictPlot = numpy.empty_like(dataset) # 用nan填充数组 trainPredictPlot[:, :] = numpy.nan # 将训练集预测的Y添加进数组，从第3位到第93+3位，共93行 trainPredictPlot[look_back:len(trainPredict)+look_back, :] = trainPredict # 构造一个和dataset格式相同的数组，共145行，把预测的后44行测试数据数据放进去 testPredictPlot = numpy.empty_like(dataset) testPredictPlot[:, :] = numpy.nan # 将测试集预测的Y添加进数组，从第94+4位到最后，共44行 testPredictPlot[len(trainPredict)+(look_back*2)+1:len(dataset)-1, :] = testPredict # 画图 plt.plot(scaler.inverse_transform(dataset)) plt.plot(trainPredictPlot) plt.plot(testPredictPlot) plt.show()def experimental_type_proto(cls) -> Type[types_pb2.SerializedDType]: AttributeError: module 'tensorflow.core.framework.types_pb2' has no attribute 'SerializedDType' 进程已结束，退出代码为 1为什么在pycharm中运行会报错
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Total params: 24,639,365 Trainable params: 16,027,653 Non-trainable params: 8,611,712 __________________________________________________________________________________________________ Found 117 images belonging to 5 classes. Found 27 images belonging to 5 classes. {<class 'keras.preprocessing.image.DirectoryIterator'>} Traceback (most recent call last): File "D:/pycharm/food/test.py", line 24, in <module> verbose=1 File "D:\ProgramData\Anaconda3\envs\tfenvs\lib\site-packages\keras\engine\training.py", line 1630, in fit batch_size=batch_size) File "D:\ProgramData\Anaconda3\envs\tfenvs\lib\site-packages\keras\engine\training.py", line 1476, in _standardize_user_data exception_prefix='input') File "D:\ProgramData\Anaconda3\envs\tfenvs\lib\site-packages\keras\engine\training.py", line 76, in _standardize_input_data data = [np.expand_dims(x, 1) if x is not None and x.ndim == 1 else x for x in data] File "D:\ProgramData\Anaconda3\envs\tfenvs\lib\site-packages\keras\engine\training.py", line 76, in <listcomp> data = [np.expand_dims(x, 1) if x is not None and x.ndim == 1 else x for x in data] AttributeError: 'DirectoryIterator' object has no attribute 'ndim'
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它本身并不具备如 `.ndim` 或 `.shape` 这样的 NumPy 数组属性，因此直接访问这些属性会导致出现 `AttributeError: 'DirectoryIterator' object has no attribute 'ndim'` 错误[^1]。 --- ### 常见错误场景与修复...
AttributeError: module 'matplotlib' has no attribute 'verbose' （pycharm中使用matplotlib 2.2.0的坑）...
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AttributeError: module 'matplotlib' has no attribute 'verbose' 环境信息 本地系统：win10 本地开发环境：python(3.6.3)，matplotlib(2.2.0) 编辑器：JetBrains PyCharm 2017.3 x64 问题描述 在导入“import matplotlib.pyplot as plt...
运行matplotlib出现：AttributeError: module ‘matplotlib‘ has no attribute ‘verbose‘
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如果你反复检测代码没有发现错误，在运行代码时却出现这个问题，那么以下有两种方法可以解决 方法一：在import matplot.pyplot as plt导入包之前添加这样一条代码： import matplotlib as mpl mpl.use('Agg') 有个缺点就是运行python程序,虽然不报错,但是并没有绘图界面弹出。 方法二：在导入包前添加： import matplotlib as mpl mpl.use('TkAgg') 添加后运行python程序，绘图界面弹出。 ...
AttributeError: module 'matplotlib' has no attribute 'verbose'（pycharm）
weixin_30608131的博客
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困扰了好久：后来知道了，原来如此简单，更改设置即可： 改为如图所示。。。。。。。。。 转载于:https://www.cnblogs.com/gongzixi/p/9010823.html
AttributeError: module ‘matplotlib‘ has no attribute ‘verbose‘
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Pycharm通过matplotlib画图报错如下： 解决方案： 进入路径：File -> Settings ->Tools -> Python Scientific，将“Show plots in toolwindow”去掉勾选即可。 再次运行，就可以了
PyCharm 报错 module 'matplotlib' has no attribute 'verbose'
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一、环境 macOS 10.14 PyCharm 2017.3.7 Python 3.7 使用的Python包列表： 二、问题解决 在pycharm中打开" File --> Settings --> Tools --> Python Scientific ",将"Show plots in toolwindow"去掉勾选即可。 ...
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这个错误是由于在使用PyCharm时，导入了名为"mistune"的模块，但该模块中没有名为"BlockGrammar"的属性所引起的。"mistune"是一个用于解析和渲染Markdown文本的库。 要解决这个问题，你可以尝试以下几个步骤： 1. ...
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