no-depsĭo not install, update, remove, or change dependencies. Overrides the value given by conda config -show channel_priority. Package version takes precedence over channel priority. Packages in lower priority channels are not considered if a package with the same name appears in a higher priority channel. Solver Mode Modifiers -strict-channel-priority Leftmost entries are tried first, and the fallback to repodata.json is added for you automatically. This is used to employ repodata that is reduced in time scope. Conda will try whatever you specify, but will ultimately fall back to repodata.json if your specs are not satisfiable with what you specify here. Specify name of repodata on remote server. override-channelsĭo not search default or. condarc channel_alias value will be prepended. 'defaults' to get the default packages for conda. condarc are searched (unless -override-channels is given). Simply a path like '/home/conda/mychan' or './mychan'). They are given (including local directories using the ' file://' syntax or Channel Customization -c, -channel Additional channel to search for packages. Target Environment Specification -n, -nameįull path to environment location (i.e. This is mainly for use during tests where we test new conda source against old Python versions. Use sys.executable -m conda in wrapper scripts instead of CONDA_EXE. Repeated file specifications can be passed (e.g. Read package versions from the given file.
Path to (or name of) existing local environment.
#CONDA INSTALL PACKAGE IN VIRTUALENV UPDATE#
Packages to install or update in the conda environment. The package cannot be installed and it matches one of the typical package installation failure cases.Ĭheck the cases and apply related workarounds.įile an issue in the P圜harm issue tracker and provide explicit details about the case including all console output, error messages, and screenshots indicating that you tried to install the package on the same interpreter in the terminal and in the project settings or in the Python Packages tool window.Usage : conda create ] Positional Arguments package_spec
#CONDA INSTALL PACKAGE IN VIRTUALENV HOW TO#
See how to add and modify a Python interpreter in Configure a Python interpreter. Try to configure another type of Python interpreter for your project and install the package on it. Example: you're trying to install a package that is not available in the Conda package manager repositories. The package cannot be installed because the package is not available in the repository that is supported by the selected package manager. Try to install the package using super-user privileges, for example, sudo pip install. The package cannot be installed because you don't have permissions to install it. Try to create another Python interpreter that is based on the Python version that meets the requirement. The package cannot be installed because the Python version doesn't satisfy the package requirement. Open the terminal and run the following commands: Ĭopy or memorize the path of the virtual environment and close the dialogs. To check the path of the currently selected Python interpreter that you were trying to install a package on, press Ctrl+Alt+S and go to Project: | Python Interpreter.Įxpand the list of the project interpreters and scroll it down, then select the Show All item. Install a package on a virtual environment If you get an identical error message, then the problem is not in the IDE and you should review the rationales and typical cases, or search for a solution on the Internet. The most viable troubleshooting action is to try installing the problematic package on the selected Python interpreter using the terminal. This article provides troubleshooting tips and covers some typical cases. Eventually, most of the issues are out of IDE control as P圜harm uses the pip package manager to perform the actual installation. You might encounter a problem when installing a Python package in the project settings or in the Python Package tool window.
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