Visual Studio 显示当前在默认环境中安装的包列表。 在搜索字段中,输入matplotlib。 在结果列表中,选择运行命令:pip install matplotlib选项。 该命令将安装matplotlib库,以及它依赖的任何包。 在这种情况下,依赖包包括numpy库。 你可以打开“视图”>“输出”窗口来监视安装进度。
Visual Studio 會顯示目前在預設環境中安裝的套件清單。 在[搜尋] 欄位中,輸入matplotlib。 在結果清單中,選取 [Run command: pip install matplotlib] 選項。 命令會安裝matplotlib函式庫,以及它所依賴的所有套件。 在此情況下,相依套件會包含numpy函式庫。
Python on Windows tries to use theMicrosoft Visual Studio Build Tools. This is a very large install and adds many Windows ecosystem packages that may be unfamiliar if you mostly work in the cloud, but should work automatically after installation, like installingmakeon Linux....
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Requirement already satisfied: PyYAML>=5.1 in c:\users\rober\miniconda3\envs\bio1\lib\site-packages (from napari>=0.4.8->stardist-napari) (5.4.1) Requirement already satisfied: numpydoc>=0.9.2 in c:\users\rober\miniconda3\envs\bio1\lib\site-packages (from napari>=0.4.8->stardist-napa...
numpy_returns.cpp C:\Users\Rifat Rabbi\anaconda3\Library\include\gif_lib.h(286,61): error C2734: 'GifAsciiTable8x8': 'const' object must be initialized if not 'extern' (compiling source file C:\Users\Rifat Rabbi\AppData\Local\Temp\pip-install-_eq3ep_2\dlib_06df5928b2974a98b8a32cc01...
將名稱輸入搜尋欄位,然後選取 [執行命令: pip install matplotlib]matplotlib選項來安裝。 執行命令將會安裝matplotlib,以及它相依的任何封裝 (在此案例 中包含numpy)。 選擇[封裝]索引標籤。 如果系統提示您提高權限,請同意這樣做。 在安裝套件之後,它會顯示在 [Python 環境]視窗中。 套件右側的X可用來進行解除安裝...
frommathimportradiansimportnumpyasnp# installed with matplotlibimportmatplotlib.pyplotaspltdefmain():x = np.arange(0, radians(1800), radians(12)) plt.plot(x, np.cos(x),'b') plt.show() main() In the editor, hover over thematplotlibimport statement. Visual Studio uses ...
In this case, the dependent packages include the numpy library. You can open the View > Output window to monitor the progress of the installation. After the packages install, the Python Environments window refreshes to show the packages for the selected environment: ...
Installing collected packages: wasabi, srsly, plac, murmurhash, cymem, wheel, setuptools, preshed, numpy, Cython, colorama, tqdm, blis, thinc Running setup.py install for preshed: started Running setup.py install for preshed: finished with status 'error' ...