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How to install tfgraphviz via python pip




tfgraphviz - A visualization tool to show a graph like TensorFlow and TensorBoard, it belongs to Classifiers:

- Intended Audience :: Education
- Intended Audience :: Science/Research
- Programming Language :: Python :: 3.3
- Topic :: Scientific/Engineering
- Topic :: Scientific/Engineering :: Mathematics

When you know about this project and you want to new install tfgraphviz to support your project or you get trouble as ModuleNotFoundError: No module named "tfgraphviz" or ImportError: cannot import name "tfgraphviz" in your project, let follow this tutorial to install tfgraphviz



Installation:

Step 1: First, ensure you installed pip in your os, to check pip has been installed on your computer

In Windows (CMD):

py -m pip --version

In Unix/macOS:

python3 -m pip --version

Ensure pip, setuptools, and wheel are up to date:

In Windows (CMD):

py -m pip install --upgrade pip setuptools wheel

In Unix/macOS:

python3 -m pip install --upgrade pip setuptools wheel


Optional - If you want to install in virtual environment:

In Windows (CMD):

- Install virtualenv - if you installed it, please ignore

py -m pip install --user virtualenv

- Create a virtual environment

py -m venv test_tfgraphviz_env

- Active the virtual environment

test_tfgraphviz_env\Scripts\active

In Unix/macOS:

- Install virtualenv - if you installed it, please ignore

pip3 install virtualenv

- Create a virtual environment

python3 -m venv test_tfgraphviz_env

- Active the virtual environment

source test_tfgraphviz_env/bin/active


Step 2: OK, now, let flow below content to start the installation tfgraphviz

To install tfgraphviz on Windows(CMD):

py -m pip install tfgraphviz

To install tfgraphviz on Unix/macOs:

pip install tfgraphviz


Step 3: If you want to install a specific tfgraphviz version, add ==<tfgraphviz version> to the end command line

Example:

pip install tfgraphviz==0.0.0


Please see the version list below table:

VersionReleased dateCommand
tfgraphviz 0.0.82021-03-06T05:22:27Windows:

py -m pip install tfgraphviz==0.0.8

Unix/macOs:

pip install tfgraphviz==0.0.8

tfgraphviz 0.0.72018-10-31T11:07:45Windows:

py -m pip install tfgraphviz==0.0.7

Unix/macOs:

pip install tfgraphviz==0.0.7

tfgraphviz 0.0.62017-05-30T10:27:00Windows:

py -m pip install tfgraphviz==0.0.6

Unix/macOs:

pip install tfgraphviz==0.0.6

tfgraphviz 0.0.52017-02-28T11:57:20Windows:

py -m pip install tfgraphviz==0.0.5

Unix/macOs:

pip install tfgraphviz==0.0.5

tfgraphviz 0.0.42017-02-20T02:17:29Windows:

py -m pip install tfgraphviz==0.0.4

Unix/macOs:

pip install tfgraphviz==0.0.4

tfgraphviz 0.0.32017-02-18T07:43:52Windows:

py -m pip install tfgraphviz==0.0.3

Unix/macOs:

pip install tfgraphviz==0.0.3

tfgraphviz 0.0.22017-02-16T07:06:19Windows:

py -m pip install tfgraphviz==0.0.2

Unix/macOs:

pip install tfgraphviz==0.0.2

tfgraphviz 0.0.02017-02-16T02:34:07Windows:

py -m pip install tfgraphviz==0.0.0

Unix/macOs:

pip install tfgraphviz==0.0.0


Step 4: Otherwise, you can install tfgraphviz from local archives:

Download the distribution file from tfgraphviz-0.0.8.tar.gz or the specific tfgraphviz version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_tfgraphviz_downloaded_file>

On Unix/macOs:

pip install <path_to_tfgraphviz_downloaded_file>


List distribution:


Project link:

- Homepage