Requirement already satisfied: matplotlib in c:\programdata\anaconda3\lib\site-packages (3.5.1) Requirement already satisfied: numpy>=1.17 in c:\programdata\anaconda3\lib\site-packages (from matplotlib) (1.20.1) Requirement already satisfied: kiwisolver>=1.0.1 in c:\programdata\anaconda3\lib\site...
...,我又把anaconda重新创建了个虚拟环境,使用conda命令来安装matplotlib、pandas、numpy这几个包,但networkx、igraph还是需要pip来安装的,networkx我用...(conda和pip下载的包的版本是不一样的,如果各位出现我这种报错,就试试另一种安装方法。)...②同步文件 只需要点击整个文件夹或者单个目录,再点击工具...
'numpy','networkx','sklearn','Scikit-Learn','Keras','Scapy','scrapy','SciPy', 'selenium','sympy','matplotlib','multiprocessing','threading','jieba','jsonpath','pandas','Pillow', 'playwright','pdfplumber', 'pypdf2','pyautogui','pyperclip','Pyglet','pymysql','pyqt5','pywifi','pyo...
pip install matplotlib pip install scipy pip installSymPy 可以看到下载速度飞快,并且提示用的是刚才配置的镜像源 (四)测试程序 启动Thonny 创建sin+noise的噪声信号,并用fft计算频谱,然后计算snr,plot信号和频谱 importnumpyasnpimportmatplotlib.pyplotaspltfromscipy.fftpackimportfft# 生成正弦波x=np.linspace(0,1,...
conda install --yes --file requirements.txt #在新的环境中安装导出的包 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 案例—导出人脸识别项目环境所使用的包 第一步,定位到当前的环境 一般在anaconda环境中使用,先进入该环境。 第二步,执行命令,会在当前文件夹下,生成requirements.txt文件 ...
conda install vs pip install conda install 和 pip install 都是常用的 Python 包管理工具,它们在包安装方面有一些区别。 安装来源: conda install 是 Anaconda 发行版自带的包管理工具,而 pip install 则是 Python 官方推荐的包管理工具。 包管理方式: conda install 会同时安装该包所依赖的所有其他包,以确保整...
matplotlib 2.2.2 scipy 1.1.0 numpy 1.14.3 absl-py 0.7.1 alabaster 0.7.10 anaconda-client 1.6.14 anaconda-navigator 1.8.7 anaconda-project 0.8.2 arviz 0.4.1 asn1crypto 0.24.0 aspy.yaml 1.2.0 astor 0.7.1 astroid 1.6.3 astropy 3.0.2 ...
import os libs = {"numpy", "matplotlib", "pillow", "gooey","sklearn", "requests", "pyinstaller","django", "jieba", "beautifulsoup4", "wheel", "networkx", "sympy", "flask", "werobot", "pyqt5", "pandas", "pyopengl", "pypdf2", "docopt", "pygame","peewee","scrapy", "behol...
mapclassify==2.2.0Markdown==3.2.1MarkupSafe==1.1.1matplotlib==3.1.3mccabe==0.6.1mistune==0.8.4mkl-fft==1.0.15mkl-random==1.1.0mkl-service==2.3.0mock==4.0.1modin==0.7.3more-itertools==8.2.0moviepy==1.0.3mpl-finance==0.10.1mplfinance==0.12.4a0 ...
numpy, singledispatch, backports-abc, tornado, bokeh, boto3, brewer2mpl, bz2file, cgroupspy, click, configparser, confluent-kafka, coverage, pycparser, cffi, enum34, asn1crypto, ipaddress, cryptography, cycler, dask, scipy, scikit-learn, multipledispatch, cloudpickle, dask-glm, pandas, toolz,...