conda

Show top level dependencies for a conda managed environment

由 烂漫一生 提交于 2020-12-05 11:24:51
问题 Just as an example, if I created a new environment. conda install python conda create --name foo_environment conda activate foo_environment conda install python conda install jupyter conda env export > environment.yml Very obviously, in this case, there are only two top-level dependencies that are added in this environment: python and Jupiter. I know that we can export the dependencies according to Sharing an environment conda env export > environment.yml But see how verbose it is. name: foo

Show top level dependencies for a conda managed environment

由 痞子三分冷 提交于 2020-12-05 11:24:23
问题 Just as an example, if I created a new environment. conda install python conda create --name foo_environment conda activate foo_environment conda install python conda install jupyter conda env export > environment.yml Very obviously, in this case, there are only two top-level dependencies that are added in this environment: python and Jupiter. I know that we can export the dependencies according to Sharing an environment conda env export > environment.yml But see how verbose it is. name: foo

Show top level dependencies for a conda managed environment

由 吃可爱长大的小学妹 提交于 2020-12-05 11:23:37
问题 Just as an example, if I created a new environment. conda install python conda create --name foo_environment conda activate foo_environment conda install python conda install jupyter conda env export > environment.yml Very obviously, in this case, there are only two top-level dependencies that are added in this environment: python and Jupiter. I know that we can export the dependencies according to Sharing an environment conda env export > environment.yml But see how verbose it is. name: foo

Show top level dependencies for a conda managed environment

由 非 Y 不嫁゛ 提交于 2020-12-05 11:23:29
问题 Just as an example, if I created a new environment. conda install python conda create --name foo_environment conda activate foo_environment conda install python conda install jupyter conda env export > environment.yml Very obviously, in this case, there are only two top-level dependencies that are added in this environment: python and Jupiter. I know that we can export the dependencies according to Sharing an environment conda env export > environment.yml But see how verbose it is. name: foo

Show top level dependencies for a conda managed environment

由 拥有回忆 提交于 2020-12-05 11:23:20
问题 Just as an example, if I created a new environment. conda install python conda create --name foo_environment conda activate foo_environment conda install python conda install jupyter conda env export > environment.yml Very obviously, in this case, there are only two top-level dependencies that are added in this environment: python and Jupiter. I know that we can export the dependencies according to Sharing an environment conda env export > environment.yml But see how verbose it is. name: foo

Show top level dependencies for a conda managed environment

由 六眼飞鱼酱① 提交于 2020-12-05 11:23:10
问题 Just as an example, if I created a new environment. conda install python conda create --name foo_environment conda activate foo_environment conda install python conda install jupyter conda env export > environment.yml Very obviously, in this case, there are only two top-level dependencies that are added in this environment: python and Jupiter. I know that we can export the dependencies according to Sharing an environment conda env export > environment.yml But see how verbose it is. name: foo

jupyter notebook shows error message for matplotlib Bad key “text.kerning_factor”

由 ╄→尐↘猪︶ㄣ 提交于 2020-12-05 05:26:40
问题 import pandas as pd import numpy as np import matplotlib.pyplot as plt Bad key "text.kerning_factor" on line 4 in /home/samyak/anaconda3/lib/python3.7/site-packages/matplotlib/mpl-data/stylelib/_classic_test_patch.mplstyle. You probably need to get an updated matplotlibrc file from https://github.com/matplotlib/matplotlib/blob/v3.1.3/matplotlibrc.template or from the matplotlib source distribution 回答1: It seems to be the case that one of style config files is for matplotlib 3.1 despite that 3

如何解决 Pycharm 无法使用 Anaconda 2018.12 创建Conda 环境问题

由 萝らか妹 提交于 2020-12-04 11:57:18
最新补充说明：https://mirror.tuna.tsinghua.edu.cn/news/close-anaconda-service/ 首先说明导致该问题原因是缺少 openssl 支持，解决方法是添加 openssl 环境变量 或者不使用 HTTPS 。tips: python 大部分安装源已启用https连接方式。 本文 Python 版本为3.6.8。其他使用方法版本类似。 PS C:\Windows\system32> python Python 3.6.8 (tags/v3.6.8:3c6b436a57, Dec 24 2018, 00:16:47) [MSC v.1916 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> >>> exit() PS C:\Windows\system32> Pycharm 社区版 版本为2019.1。 本文使用 Ananonda 版本为2018.12，操作系统为 Windows 10，其他系统类似故障也可以使用类本方法。 首先介绍修改系统变量方法。添加openssl.exe到环境变量。 #添加anaconda 安装目录openssl.exe文件夹 C:\ProgramData

How to install packages in conda that are not available in anaconda? (conda:4.7.5, python:3.7.3)

由 旧城冷巷雨未停 提交于 2020-12-03 01:55:56
问题 I want to install a package (of python) using conda, but says not available in repo.anaconda.com/......., how could I install it ? The specific package that I tried to install is edx-dl (link of the github repo) using the code conda install edx-dl . This code works fine with pip but not with conda . For example , in pip if I type pip install edx-dl was able to install the package when I was using python base without anaconda. But now with conda it says it is not available in anaconda repo. So

How to install packages in conda that are not available in anaconda? (conda:4.7.5, python:3.7.3)

由 好久不见. 提交于 2020-12-03 01:49:06
问题 I want to install a package (of python) using conda, but says not available in repo.anaconda.com/......., how could I install it ? The specific package that I tried to install is edx-dl (link of the github repo) using the code conda install edx-dl . This code works fine with pip but not with conda . For example , in pip if I type pip install edx-dl was able to install the package when I was using python base without anaconda. But now with conda it says it is not available in anaconda repo. So
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