---------
Share your Lcopt results with a wider audience
Watch the video and get full installation instructions [here](http://lcoptview.rtfd.io)
Installation
------------------------
The easiest way to install lcoptview is via conda. This ensures the version of Python (3.6) is correct, all of the dependencies are correct and there are no conflicts.
If you have conda installed, you can do it in one command.
If you don't, first install miniconda (available [here](https://conda.io/miniconda.html))
Then, on the command line/console, create a new environment called lcoptview and install lcoptview with this command
```
conda create -n lcoptview -c pjamesjoyce python=3.6 lcoptview
```
Launch lcoptview
----------------
1) Activate the lcoptview environment using one of these
```
# Mac/Linux
source activate lcoptview
# Windows
activate lcoptview
```
2) Launch lcoptview by typing
```
lcoptview
```
You'll see this dialog
Click on the button and choose an .lcoptview file.
Your default browser will open up, and you can explore the model and results.
1 maintainer
Metadata
1 maintainer
Release files for lcoptview 0.1.4
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| lcoptview-0.1.4.tar.gz | 671.0 kB | Without provenance | Details for lcoptview-0.1.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| lcoptview-0.1.4-py3-none-any.whl | Python 3 | none | any | Details for lcoptview-0.1.4-py3-none-any.whl |
Total release size: 1.4 MB
Release files / lcoptview-0.1.4.tar.gz
| Download URL | lcoptview-0.1.4.tar.gz |
|---|---|
| Size | 671.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / lcoptview-0.1.4-py3-none-any.whl
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|---|---|
| Size | 697.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Security for lcoptview 0.1.4
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