ingebert.github.io/uploaded.html at main · ingebert/ingebert.github.io · GitHub

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<html>
    <head>
      <title>Panel Example</title>
      <meta charset="iso-8859-1">
      <link rel="icon" type="image/x-icon" href="./favicon.png">
      <script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.js"></script>
      <script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js"></script>
      <script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js"></script>
      <script type="text/javascript" src="https://cdn.jsdelivr.net/npm/@holoviz/panel@0.13.1/dist/panel.min.js"></script>
      <link rel="stylesheet" href="https://pyscript.net/alpha/pyscript.css" />
      <script defer src="https://pyscript.net/alpha/pyscript.js"></script>
      <style>
        body {
            margin: 2em;
        }
      </style>
    </head>
    <py-env>
      - pandas
      - matplotlib
      - seaborn
      - panel==0.13.1
    </py-env>
    <body>
        <h1>Visualizing CSVs with Pandas, Seaborn, Panel and PyScript</h1>
        <div id="fileinput"></div>
        <div id="op"></div>
        <py-script>
import io

import pandas as pd
import panel as pn
import seaborn as sns
from matplotlib.figure import Figure

pn.config.sizing_mode="stretch_width"

fileInput = pn.widgets.FileInput(accept=".csv").servable(target="fileinput")

@pn.depends(fileInput)
def to_plot(file: bytes):
    if file is None:
        return "Please upload a `.csv` file with columns `arpi` and `total_installs`."

    data = pd.read_csv(io.BytesIO(file))
    x = data['arpi'] #change column name
    y = data['total_installs'] #change column name

    fig = Figure(figsize=(10, 6))
    ax = fig.add_subplot(111)

    sns.lineplot(x=x, y=y, data=data, ax=ax)
    return fig

pn.Column(
    to_plot
).servable(target="op")
None # For some reason an error is raised if I end with .servable()
        </py-script>
  </body>
  </html>