8000 [PYS-22] support pip in pyenv by fpliger · Pull Request #30 · pyscript/pyscript · GitHub
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[PYS-22] support pip in pyenv #30

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Merged
merged 2 commits into from
Apr 19, 2022
Merged

[PYS-22] support pip in pyenv #30

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4831c19
call micropip installed of loading packages
fpliger Apr 19, 2022
792db8c
update examples
fpliger Apr 19, 2022
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update examples
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@fpliger
fpliger committed Apr 19, 2022
commit 792db8cd59c734e4fe01524faf5a7888553bc6d4
2 changes: 0 additions & 2 deletions pyscriptjs/examples/panel.html
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Expand Up @@ -19,8 +19,6 @@ <h1>Panel Example</h1>
<div id="myplot"></div>
<py-script>
import asyncio
import micropip

import panel as pn

slider = pn.widgets.FloatSlider(start=0, end=10, name='Amplitude')
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4 changes: 1 addition & 3 deletions pyscriptjs/examples/panel_deckgl.html
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Expand Up @@ -46,6 +46,7 @@
- bokeh
- numpy
- pandas
- panel==0.13.1a1
</py-env>

<div class="container-fluid d-flex flex-column vh-100 overflow-hidden" id="container">
Expand Down Expand Up @@ -74,13 +75,10 @@
</div>
<py-script>
import asyncio
import micropip

from io import StringIO
from js import fetch

await micropip.install(['panel==0.13.1a1'])

import panel as pn
import param
import pandas as pd
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5 changes: 2 additions & 3 deletions pyscriptjs/examples/panel_kmeans.html
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Expand Up @@ -47,6 +47,8 @@
- numpy
- pandas
- scikit-learn
- panel
- altair
</py-env>

<div class="container-fluid d-flex flex-column vh-100 overflow-hidden" id="container">
Expand Down Expand Up @@ -78,13 +80,10 @@
</div>
<py-script>
import asyncio
import micropip

from io import StringIO
from js import fetch

await micropip.install(['panel', 'altair'])

import altair as alt
import panel as pn
import pandas as pd
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4 changes: 1 addition & 3 deletions pyscriptjs/examples/panel_stream.html
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Expand Up @@ -43,6 +43,7 @@
- bokeh
- numpy
- pandas
- panel
</py-env>

<div class="container-fluid d-flex flex-column vh-100 overflow-hidden" id="container">
Expand All @@ -69,9 +70,6 @@
</div>
<py-script>
import asyncio
import micropip

await micropip.install(['panel'])

import panel as pn
import numpy as np
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