ai-content-maker/.venv/Lib/site-packages/matplotlib/backends/web_backend/all_figures.html

53 lines
1.7 KiB
HTML

<!DOCTYPE html>
<html lang="en">
<head>
<link rel="stylesheet" href="{{ prefix }}/_static/css/page.css" type="text/css">
<link rel="stylesheet" href="{{ prefix }}/_static/css/boilerplate.css" type="text/css">
<link rel="stylesheet" href="{{ prefix }}/_static/css/fbm.css" type="text/css">
<link rel="stylesheet" href="{{ prefix }}/_static/css/mpl.css" type="text/css">
<script src="{{ prefix }}/_static/js/mpl_tornado.js"></script>
<script src="{{ prefix }}/js/mpl.js"></script>
<script>
function ready(fn) {
if (document.readyState != "loading") {
fn();
} else {
document.addEventListener("DOMContentLoaded", fn);
}
}
function figure_ready(fig_id) {
return function () {
var main_div = document.querySelector("div#figures");
var figure_div = document.createElement("div");
figure_div.id = "figure-div";
main_div.appendChild(figure_div);
var websocket_type = mpl.get_websocket_type();
var uri = "{{ ws_uri }}" + fig_id + "/ws";
if (window.location.protocol === "https:") uri = uri.replace('ws:', 'wss:')
var websocket = new websocket_type(uri);
var fig = new mpl.figure(fig_id, websocket, mpl_ondownload, figure_div);
fig.focus_on_mouseover = true;
fig.canvas.setAttribute("tabindex", fig_id);
}
};
{% for (fig_id, fig_manager) in figures %}
ready(figure_ready({{ str(fig_id) }}));
{% end %}
</script>
<title>MPL | WebAgg current figures</title>
</head>
<body>
<div id="mpl-warnings" class="mpl-warnings"></div>
<div id="figures" style="margin: 10px 10px;"></div>
</body>
</html>