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"# Basic imports\n",
"from physt.examples import normal_h2, normal_h1\n",
"from physt.plotting import plotly\n",
"import physt.plotting\n",
"\n",
"import numpy as np\n",
"np.random.seed(42)\n",
"\n",
"# Set that we want plotly\n",
"physt.plotting.set_default_backend(\"plotly\")"
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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"H.plot() # Same as H.plot.bar()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"mode": "lines",
"name": "normal",
"type": "scatter",
"x": [
-3.529968353715609,
-2.745104557910142,
-1.9602407621046753,
-1.1753769662992084,
-0.39051317049374146,
0.39435062531172527,
1.1792144211171922,
1.9640782169226592,
2.7489420127281257,
3.533805808533593
],
"y": [
10,
88,
485,
1605,
2831,
2844,
1543,
498,
88,
8
]
}
],
"layout": {
"autosize": true,
"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"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"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"
],
[
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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"H.plot.line()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"mode": "markers",
"name": "normal",
"type": "scatter",
"x": [
-3.529968353715609,
-2.745104557910142,
-1.9602407621046753,
-1.1753769662992084,
-0.39051317049374146,
0.39435062531172527,
1.1792144211171922,
1.9640782169226592,
2.7489420127281257,
3.533805808533593
],
"y": [
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88,
485,
1605,
2831,
2844,
1543,
498,
88,
8
]
}
],
"layout": {
"autosize": true,
"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,
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],
[
0.3333333333333333,
"#9c179e"
],
[
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],
[
0.5555555555555556,
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],
[
0.6666666666666666,
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],
[
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"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
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"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
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],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
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],
[
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],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
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],
[
0.3333333333333333,
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],
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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"H.plot.scatter()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plotly Figure object\n",
"\n",
"If you want to further manipulate the figures, you can return them from\n",
"the function as-is using the `raw` keyword."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"plotly.graph_objs._figure.Figure"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"figure = H.plot.scatter(raw=True)\n",
"type(figure)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 2D histograms"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"H2 = normal_h2()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"type": "heatmap",
"z": [
[
0,
0,
0,
2,
6,
2,
2,
1,
0,
0
],
[
0,
0,
9,
26,
45,
41,
14,
6,
2,
0
],
[
0,
5,
41,
127,
194,
172,
91,
45,
4,
1
],
[
5,
22,
126,
401,
558,
579,
327,
123,
18,
1
],
[
6,
41,
192,
556,
879,
846,
479,
187,
29,
8
],
[
2,
30,
146,
426,
672,
640,
403,
134,
27,
2
],
[
1,
19,
57,
161,
240,
313,
204,
55,
9,
0
],
[
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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Default is heatmap\n",
"H2.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Collections"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"from physt import collection\n",
"\n",
"collection = collection({\n",
" \"small\": np.random.normal(160, 20, 600),\n",
" \"tall\": np.random.normal(180, 20, 1000),\n",
" \"huge\": np.random.normal(200, 20, 400),\n",
" \"gigantic\": np.random.normal(220, 20, 200)\n",
"}, \"pretty\")"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"mode": "lines",
"name": "small",
"type": "scatter",
"x": [
85,
95,
105,
115,
125,
135,
145,
155,
165,
175,
185,
195,
205,
215,
225,
235,
245,
255,
265,
275
],
"y": [
1,
1,
3,
12,
20,
45,
84,
126,
121,
91,
61,
18,
9,
6,
2,
0,
0,
0,
0,
0
]
},
{
"mode": "lines",
"name": "tall",
"type": "scatter",
"x": [
85,
95,
105,
115,
125,
135,
145,
155,
165,
175,
185,
195,
205,
215,
225,
235,
245,
255,
265,
275
],
"y": [
0,
0,
0,
2,
4,
14,
51,
93,
154,
197,
171,
148,
90,
48,
24,
4,
0,
0,
0,
0
]
},
{
"mode": "lines",
"name": "huge",
"type": "scatter",
"x": [
85,
95,
105,
115,
125,
135,
145,
155,
165,
175,
185,
195,
205,
215,
225,
235,
245,
255,
265,
275
],
"y": [
0,
0,
0,
0,
0,
1,
2,
8,
17,
31,
64,
76,
81,
64,
29,
16,
9,
2,
0,
0
]
},
{
"mode": "lines",
"name": "gigantic",
"type": "scatter",
"x": [
85,
95,
105,
115,
125,
135,
145,
155,
165,
175,
185,
195,
205,
215,
225,
235,
245,
255,
265,
275
],
"y": [
0,
0,
0,
0,
0,
0,
0,
0,
2,
7,
8,
29,
35,
33,
37,
21,
17,
6,
4,
1
]
}
],
"layout": {
"autosize": true,
"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"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"collection.plot.line()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"name": "small",
"opacity": 0.3,
"type": "bar",
"width": [
10,
10,
10,
10,
10,
10,
10,
10,
10,
10,
10,
10,
10,
10,
10,
10,
10,
10,
10,
10
],
"x": [
85,
95,
105,
115,
125,
135,
145,
155,
165,
175,
185,
195,
205,
215,
225,
235,
245,
255,
265,
275
],
"y": [
1,
1,
1,
0.8571428571428571,
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"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Let's see normalized histograms in the collection\n",
"collection.normalize_bins().plot(barmode=\"overlay\", alpha=0.3)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# ...and how they look like when stacked\n",
"collection.normalize_bins().plot(barmode=\"stack\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": []
}
],
"metadata": {
"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": "3.11.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}