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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = px.line(x=[\"a\",\"b\",\"c\"], y=[1,3,2], title=\"sample figure\")\n",
"fig.show()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "7adc9658",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Figure({\n",
" 'data': [{'hovertemplate': 'x=%{x}
y=%{y}',\n",
" 'legendgroup': '',\n",
" 'line': {'color': '#636efa', 'dash': 'solid'},\n",
" 'marker': {'symbol': 'circle'},\n",
" 'mode': 'lines',\n",
" 'name': '',\n",
" 'orientation': 'v',\n",
" 'showlegend': False,\n",
" 'type': 'scatter',\n",
" 'x': array(['a', 'b', 'c'], dtype=object),\n",
" 'xaxis': 'x',\n",
" 'y': array([1, 3, 2], dtype=int64),\n",
" 'yaxis': 'y'}],\n",
" 'layout': {'legend': {'tracegroupgap': 0},\n",
" 'template': '...',\n",
" 'title': {'text': 'sample figure'},\n",
" 'xaxis': {'anchor': 'y', 'domain': [0.0, 1.0], 'title': {'text': 'x'}},\n",
" 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'y'}}}\n",
"})\n"
]
}
],
"source": [
"print(fig)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "a3d25aaf",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(Scatter({\n",
" 'hovertemplate': 'x=%{x}
y=%{y}',\n",
" 'legendgroup': '',\n",
" 'line': {'color': '#636efa', 'dash': 'solid'},\n",
" 'marker': {'symbol': 'circle'},\n",
" 'mode': 'lines',\n",
" 'name': '',\n",
" 'orientation': 'v',\n",
" 'showlegend': False,\n",
" 'x': array(['a', 'b', 'c'], dtype=object),\n",
" 'xaxis': 'x',\n",
" 'y': array([1, 3, 2], dtype=int64),\n",
" 'yaxis': 'y'\n",
"}),)\n"
]
}
],
"source": [
"print(fig.data)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "607f978e-d7c3-4add-99f4-4793a0e111bb",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Layout({\n",
" 'legend': {'tracegroupgap': 0},\n",
" 'template': '...',\n",
" 'title': {'text': 'sample figure'},\n",
" 'xaxis': {'anchor': 'y', 'domain': [0.0, 1.0], 'title': {'text': 'x'}},\n",
" 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'y'}}\n",
"})\n"
]
}
],
"source": [
"print(fig.layout)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "3e7dea24-f845-4a98-b700-c3a648c8c49e",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"alignmentgroup": "True",
"hovertemplate": "x=%{x}
y=%{y}",
"legendgroup": "",
"marker": {
"color": "#636efa",
"pattern": {
"shape": ""
}
},
"name": "",
"offsetgroup": "",
"orientation": "v",
"showlegend": false,
"textposition": "auto",
"type": "bar",
"x": [
"a",
"b",
"c"
],
"xaxis": "x",
"y": [
1,
3,
2
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"barmode": "relative",
"legend": {
"tracegroupgap": 0
},
"margin": {
"t": 60
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = px.bar(x=[\"a\", \"b\", \"c\"], y=[1, 3, 2])\n",
"fig.show()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "87cc22e3-d4e4-4a5f-a211-36bc83a3dbfe",
"metadata": {},
"outputs": [],
"source": [
"import plotly.graph_objects as go"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "d0a708db-8a28-447a-9fb1-4994cc2ee11e",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "095bd9316e1444a6803d44c2101da35b",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FigureWidget({\n",
" 'data': [{'alignmentgroup': 'True',\n",
" 'hovertemplate': 'x=%{x}
y=%{y}…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig_widget = go.FigureWidget(fig)\n",
"fig_widget"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "63420fc9-0b2c-4cdc-8c91-4076ec8d0b8d",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"jupytext": {
"formats": "ipynb,py:percent"
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}