Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

docs: Update image links in README #1433

Merged
merged 2 commits into from
Oct 9, 2024
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
14 changes: 4 additions & 10 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@

The API is based on the familiar Pandas `.plot` API and the innovative `.interactive` API.

<img src="https://github.com/MarcSkovMadsen/old-awesome-panel-assets/blob/master/images/hvPlot/hvplot-total-intro.gif?raw=true" style="max-height:600px;border-radius:2%;">
<img src="https://assets.holoviz.org/hvplot/hvplot-total-intro.gif" style="max-height:600px;border-radius:2%;">

## hvPlot works with the tools you know and love

Expand All @@ -36,7 +36,7 @@ hvPlot is **the simplest way to benefit from the [HoloViz](https://holoviz.org/)

Check out [this blog post](https://towardsdatascience.com/the-easiest-way-to-create-an-interactive-dashboard-in-python-77440f2511d1) to see how easy it is to create an interactive dashboard with hvPlot and Panel.

<a href="https://towardsdatascience.com/the-easiest-way-to-create-an-interactive-dashboard-in-python-77440f2511d1"><img src="https://miro.medium.com/max/700/1*bZjPtucT8O1esjQaGQenHw.gif" style="max-height:600px;border-radius:2%;"></a>
<a href="https://towardsdatascience.com/the-easiest-way-to-create-an-interactive-dashboard-in-python-77440f2511d1"><img src="https://assets.holoviz.org/hvplot/interactive_dashboard.gif" style="max-height:600px;border-radius:2%;"></a>

## Mini getting-started

Expand All @@ -56,12 +56,6 @@ or with ``pip``:
pip install hvplot
```

Please note that for versions of `jupyterlab<3.0`, you must install the JupyterLab extension manually with:

```bash
jupyter labextension install @pyviz/jupyterlab_pyviz
```

### Plotting data

Work with your data source:
Expand All @@ -87,7 +81,7 @@ Use the `.hvplot` API as you would use the Pandas or Xarray `.plot` API:
df.hvplot()
```

[<img src="https://github.com/MarcSkovMadsen/old-awesome-panel-assets/blob/master/images/hvPlot/hvplot-intro-plot.gif?raw=true" style="max-height:300px;border-radius:2%;">](https://hvplot.holoviz.org/user_guide/index.html)
[<img src="https://assets.holoviz.org/hvplot/hvplot-intro-plot.gif" style="max-height:300px;border-radius:2%;">](https://hvplot.holoviz.org/user_guide/index.html)


### Interactive data apps
Expand All @@ -101,7 +95,7 @@ pn.extension()
df.interactive(width=600).head(n=pn.widgets.IntSlider(start=1, end=5, value=3))
```

[<img src="https://github.com/MarcSkovMadsen/old-awesome-panel-assets/blob/master/images/hvPlot/hvplot-intro-interactive.gif?raw=true" style="max-height:300px;border-radius:2%;">](https://hvplot.holoviz.org/user_guide/Interactive.html)
[<img src="https://assets.holoviz.org/hvplot/hvplot-intro-interactive.gif" style="max-height:300px;border-radius:2%;">](https://hvplot.holoviz.org/user_guide/Interactive.html)

### How to find documentation from your notebook or editor

Expand Down
Loading