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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# WIP: An Interactive Plotting Backend for `pyrolite`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import plotly\n",
+ "import numpy as np\n",
+ "import plotly.graph_objects as go\n",
+ "from pyrolite.data.Aitchison import load_kongite\n",
+ "import matplotlib.colors\n",
+ "import pyrolite.plot\n",
+ "from pyrolite.util.log import Handle\n",
+ "\n",
+ "logger = Handle(__name__, level=\"DEBUG\")\n",
+ "pyrolite_plot_BACKEND = \"matplotlib\"\n",
+ "\n",
+ "\n",
+ "def set_plotting_backend(backend=None):\n",
+ " if backend is not None:\n",
+ " if backend in [\"matplotlib\", \"plotly\"]:\n",
+ " global pyrolite_plot_BACKEND\n",
+ " logger.debug(\"Setting plotting backend to {}\".format(backend))\n",
+ " pyrolite_plot_BACKEND = backend\n",
+ " else:\n",
+ " raise NotImplementedError(\"Backend {} not available.\")\n",
+ "\n",
+ "\n",
+ "class backend:\n",
+ " def __init__(self, backend=None):\n",
+ " self.start = pyrolite_plot_BACKEND\n",
+ " self.backend = backend\n",
+ " set_plotting_backend(self.backend)\n",
+ "\n",
+ " def __enter__(self):\n",
+ " return self\n",
+ "\n",
+ " def __exit__(self, exc_type, exc_value, exc_traceback):\n",
+ " # only reset when changed in the first place?\n",
+ " if self.backend is not None:\n",
+ " set_plotting_backend(self.start)\n"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Plotly Plotting Functions\n",
+ "\n",
+ "* TODO: Make margins smaller\n",
+ "* Enable passing labels to markers\n",
+ "* Make plot variant for density plots"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def to_plotly_color(color, alpha=1):\n",
+ " # note that alpha isn't 255 scaled\n",
+ " return \"rgba\" + str(\n",
+ " tuple([int(i * 255) for i in matplotlib.colors.to_rgb(color)] + [alpha])\n",
+ " )\n",
+ "\n",
+ "\n",
+ "def scatter(df, color=\"black\", alpha=1, **kwargs):\n",
+ " layout = dict(width=600, plot_bgcolor=\"white\")\n",
+ " fig = go.Figure()\n",
+ " marker = dict(color=to_plotly_color(color, alpha=alpha))\n",
+ " traces = [\n",
+ " go.Scatter(\n",
+ " x=df.iloc[:, 0],\n",
+ " y=df.iloc[:, 1],\n",
+ " mode=\"markers\",\n",
+ " marker=marker,\n",
+ " showlegend=False,\n",
+ " text=df.index.map(\"Sample {}\".format),\n",
+ " )\n",
+ " ]\n",
+ " fig.add_traces(traces)\n",
+ " fig.update_layout(layout)\n",
+ " fig.update_xaxes(linecolor=\"black\", mirror=True, title=df.columns[0]) # todo: add this to layout\n",
+ " fig.update_yaxes(linecolor=\"black\", mirror=True, title=df.columns[1]) # todo: add this to layout\n",
+ " return fig\n",
+ "\n",
+ "\n",
+ "def ternary(df, color=\"black\", alpha=1, **kwargs):\n",
+ " layout = dict(width=600, plot_bgcolor=\"white\", ternary= {**{\n",
+ " a: {\n",
+ " \"title\": c,\n",
+ " \"showgrid\": False,\n",
+ " \"linecolor\": \"black\",\n",
+ " }\n",
+ " for a, c in zip([\"aaxis\", \"baxis\", \"caxis\"], df.columns)\n",
+ " }, \"bgcolor\": \"white\"})\n",
+ " layout.update(kwargs)\n",
+ " marker = {\"color\": to_plotly_color(color, alpha=alpha)}\n",
+ " data = {\n",
+ " \"mode\": \"markers\",\n",
+ " **dict(zip(\"abc\", [df[c] for c in df.columns])),\n",
+ " \"text\": df.index.values,\n",
+ " \"marker\": marker,\n",
+ " }\n",
+ " fig = go.Figure(go.Scatterternary(data))\n",
+ "\n",
+ " fig.update_layout(\n",
+ " layout\n",
+ " )\n",
+ " return fig\n",
+ "\n",
+ "\n",
+ "def spider(df, color=\"black\", unity_line=True, alpha=1, text=None, **kwargs):\n",
+ " layout = dict(width=600, plot_bgcolor=\"white\")\n",
+ " fig = go.Figure()\n",
+ " line = dict(color=to_plotly_color(color, alpha=alpha))\n",
+ " #hovertemplate = \"%{text}
\" if (text is not None) else None\n",
+ " traces = [\n",
+ " go.Scatter(\n",
+ " x=df.columns,\n",
+ " y=row,\n",
+ " mode=\"lines+markers\",\n",
+ " line=line,\n",
+ " showlegend=False,\n",
+ " hoverinfo ='text',\n",
+ " #hovertemplate =hovertemplate if (text is not None) else None,\n",
+ " text = None if text is None else text[idx],\n",
+ " name=\"Sample {}\".format(idx) ,\n",
+ " )\n",
+ " for idx, row in df.iterrows()\n",
+ " ]\n",
+ " if unity_line:\n",
+ " traces += [\n",
+ " go.Scatter(\n",
+ " x=df.columns,\n",
+ " y=np.ones(df.columns.size),\n",
+ " mode=\"lines\",\n",
+ " showlegend=False,\n",
+ " name=None,\n",
+ " line={\"color\": \"black\", \"dash\": \"dot\", \"width\": 0.5},\n",
+ " )]\n",
+ " fig.add_traces(traces)\n",
+ " fig.update_layout(**layout)\n",
+ " fig.update_yaxes(type=\"log\", linecolor=\"black\", mirror=True) # todo: add this to layout\n",
+ " fig.update_xaxes(linecolor=\"black\", mirror=True) # todo: add this to layout\n",
+ " return fig\n"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Interface Switching"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "2024-07-04 16:14:01,480 __main__ - DEBUG: Setting plotting backend to plotly\n",
+ "2024-07-04 16:14:01,481 __main__ - DEBUG: Setting plotting backend to matplotlib\n",
+ "2024-07-04 16:14:01,482 __main__ - DEBUG: Setting plotting backend to plotly\n",
+ "2024-07-04 16:14:01,483 __main__ - DEBUG: Setting plotting backend to matplotlib\n"
+ ]
+ }
+ ],
+ "source": [
+ "with backend(\"plotly\"):\n",
+ " with backend(\"matplotlib\"):\n",
+ " ...\n",
+ " ...\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "logger.setLevel(\"INFO\")"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Some Example Data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " A | \n",
+ " B | \n",
+ " C | \n",
+ " D | \n",
+ " E | \n",
+ "
\n",
+ " \n",
+ " | Specimen | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | K1 | \n",
+ " 33.5 | \n",
+ " 6.1 | \n",
+ " 41.3 | \n",
+ " 7.1 | \n",
+ " 12.0 | \n",
+ "
\n",
+ " \n",
+ " | K2 | \n",
+ " 47.6 | \n",
+ " 14.9 | \n",
+ " 16.1 | \n",
+ " 14.8 | \n",
+ " 6.6 | \n",
+ "
\n",
+ " \n",
+ " | K3 | \n",
+ " 52.7 | \n",
+ " 23.9 | \n",
+ " 6.0 | \n",
+ " 8.7 | \n",
+ " 8.7 | \n",
+ "
\n",
+ " \n",
+ " | K4 | \n",
+ " 44.5 | \n",
+ " 24.2 | \n",
+ " 10.7 | \n",
+ " 11.9 | \n",
+ " 8.7 | \n",
+ "
\n",
+ " \n",
+ " | K5 | \n",
+ " 42.3 | \n",
+ " 47.6 | \n",
+ " 0.6 | \n",
+ " 4.1 | \n",
+ " 5.4 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
'.join, axis=1) # TODO: Could hover lambda labels"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "fig = spider(ree_df, unity_line=True, color=\"0.5\", alpha=0.5, width=600, text=lambda_labels)\n",
+ "# fig.write_html(\"spider.html\")"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "pyrolite",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.10.11"
+ },
+ "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}