This guide will cover the steps for installing VisiData and provide troubleshooting assistance.
- Homebrew Install Pip3
- Homebrew Upgrade Pip3
- Install Pip3 Homebrew Mac
- Homebrew Pip3 Not Found
- Homebrew Pip3
Quick Reference
Use the pip or pip3 command to install the AWS CLI. We recommend that if you use Python version 3 or later, that you use the pip3 command. For the latest version of the AWS CLI, use the following command block: $ pip3 install awscli -upgrade -user. Invoke as python3 and pip3. Python 2.x: apt-get install python python-pip Invoke as python and pip (or python2 and pip2). Windows (7) / MSYS2: Python 3.x: pacman -S python python-pip Invoke as python and pip (or python3 and pip3). Python 2.x: pacman -S python2 python2-pip Invoke as python2 and pip2. Homebrewにあるpythonのフォーミュラ名が Deleted Formulae になっていた. Python から python3.7 / python3.8 とバージョン付きに変更になったみたい; pip3を使ってパッケージをアップデートしようとしたらエラーがでて困った・・・. Pip3.8 を使って pip をアップデートする必要があった.
- A command-line package installer is a handy tool that installs your desired software package without a fancy UI, yet it often proves to be more effective than some tools integrated into expensive IDEs. Brew and Pip are two of the more popular options for package installers when using the script language Python. But what’s the difference between them, and which makes more sense for your use?
- Installing Python 3 and music21 using Homebrew and pip3 Posted on August 15, 2015 by dave In this blog post I’m going to explain how the Python library music21 can be installed in conjuction with Python 3 and its dependencies matplotlib, numpy and scipy on Mac OS X.
| Platform | Package Manager | Command | Out-of-box Loaders |
|---|---|---|---|
| all | pip3 | pip3 install visidata | Base |
| all | conda | conda install --channel conda-forge visidata | Base, http, html, xls(x) |
| MacOS | Homebrew | brew install saulpw/vd/visidata | Base, http, html, xls(x) |
| Linux (Debian/Ubuntu) | apt | apt install visidata | Base, http, html, xls(x) |
| Linux (Debian/Ubuntu) | dpkg | dpkg -i visidata_ver_all.deb | Base, http, html, xls(x) |
| Windows | WSL | Windows is not yet directly supported (use WSL) | N/A |
| all | github | pip3 install git+https://github.com/saulpw/visidata.git | Base |
| Linux (NixOS) | nix | nix-env -i visidata | Base, yaml, xls(x), hdf5, html, pandas, shp |
| GNU/Linux (Guix) | Guix | guix install visidata | Base, http, html, xls(x), yaml, hdf5, pandas |
If the one-line install commands above do not work, see below for detailed instructions and troubleshooting.
The base VisiData package
A loader is a module which directs how VisiData structures and engages with a particular data source.
Each package contains the full loader suite but differs in which loader dependencies will get installed by default. This is to avoid bloating the system for most users, who are not interested in using those features.
When we mention the base VisiData package, we are referring to the VisiData loaders whose dependencies are covered by the Python3 standard library. Currently these include the loaders for tsv, csv, fixed width text, json, and sqlite. Additionally, .zip, .gz, .bz2, and .xz files can be decompressed on the fly.
pip3
Requires:
To verify that both python3 and pip3 are installed, type python3 -m pip help in your terminal. You should see the helpstring for pip3 in your console.
To install VisiData:
To update VisiData:
VisiData supports many sources, but not all dependencies are installed automatically.
Out-of-box, you can load all file formats supported by the Python3 standard library including csv, tsv, fixed-width text, json, and sqlite. Additional Python packages may be required for opening other supported data sources.
To install any of one the dependencies:
To install dependencies for all loaders (which might take some time and disk space):
Note: The pipx tool is an optional convenience layer on top of pip. It can help keep VisiData and its dependencies in an isolated environment, to avoid clashes with other Python packages on your system. With pipx installed:
conda
Requires:
Add the conda-forge channel:
To install VisiData:
To update VisiData:
Note, that the VisiData feedstock comes preloaded with additional dependencies.
Out-of-box, you can load csv, tsv, fixed-width text, json, sqlite, http, html, .xls, and .xlsx (Microsoft Excel).
Additional Python packages will be required for opening other supported data sources.
If these packages are included in the conda environment, they can be installed with
brew
Requires:
- MacOS
Add the the vd tap:
To install VisiData:
To update VisiData:
Note, that the VisiData formula comes preloaded with additional dependencies.
Out-of-box, you can load csv, tsv, fixed-width text, json, sqlite, http, html, .xls, and .xlsx (Microsoft Excel).
NOTE: There is no method, which is known to the package maintainer, to install additional dependencies for a brewed Python package. If anyone does know of one please, please let us know.
apt
Requires:
- Linux distribution
apt
Install apt-transport-https, which apt requires to communicate with a repository using https:
Grab our public key:
Add our repository to apt's search list:
To install VisiData:
To update VisiData:
Note, that the VisiData .deb comes preloaded with additional dependencies.
Out-of-box, you can load csv, tsv, fixed-width text, json, sqlite, http, html, .xls, and .xlsx (Microsoft Excel).
dpkg
Requires:
- Linux distribution
dpkg allows you to manually download and install VisiData, thus bypassing the need to add the repository's index.
First, go to our repository and download the preferred version of VisiData.
To install VisiData:
To uninstall VisiData:
Note, that the VisiData .deb comes preloaded with additional dependencies.
Out-of-box, you can load csv, tsv, fixed-width text, json, sqlite, http, html, .xls, and .xlsx (Microsoft Excel).
wsl
Windows is not yet directly supported. We recommend trying to use ConEmu as your terminal on WSL (Windows Subsystem for Linux). You can find discussion on this topic here.
source code
If you want to use bleeding edge unreleased features (which may not always work), you can do so by installing from the development branch on git.
To install VisiData:
See pip3 above for further information on loaders and dependency management.
nix-env
This package is maintained by the wonderful folks at nixpkgs. Please refer all questions and requests for troubleshooting assistance to them.
Requires:
- Linux distribution
To install VisiData:
To upgrade VisiData:
To uninstall VisiData:
GNU Guix
This package is maintained by Ryan Prior and the Guix project. For help, visit the Guix help resources. Report bugs to the bug-Guix mailing list and/or the maintainer's repo.
Homebrew Install Pip3
Requires:
- A GNU/Linux system
Homebrew Upgrade Pip3
To install VisiData:
Install Pip3 Homebrew Mac
To upgrade VisiData:
Homebrew Pip3 Not Found
To uninstall VisiData:
Homebrew Pip3
To create a dev environment with all of VisiData's dependencies loaded: