| Name | polyptich JSON |
| Version |
0.0.14
JSON |
| download |
| home_page | None |
| Summary | Extra visualization functions |
| upload_time | 2024-10-28 11:28:13 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | MIT |
| keywords |
visualization
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
## Polyptich: easier layouting in matplotlib
```python
import polyptich as pp
```
```python
fig = pp.Figure()
ax = pp.Panel((2, 2))
ax.plot([1, 2, 3], [1, 2, 3])
fig.main.add_right(ax)
ax = pp.Panel((2, 2))
ax.plot([1, 2, 3], [1, 2, 3])
fig.main.add_right(ax)
ax = pp.Panel((2, 2))
ax.plot([1, 2, 3], [1, 2, 3])
fig.main.add_right(ax)
fig.display()
```
```python
fig = pp.Figure()
ax1 = pp.Panel((2, 2))
ax1.plot([1, 2, 3], [1, 2, 3])
ax1.add_tag("a")
ax2 = pp.Panel((2, 2))
ax2.barh([1, 2, 3], [1, 2, 3])
ax2.add_tag("b")
ax3 = pp.Panel((2, 2))
ax3.scatter([1, 2, 3], [3, 1, 2])
ax3.add_tag("c")
ax4 = pp.Panel((2, 2))
ax4.matshow([[1, 2], [3, 4]])
ax4.add_tag("d")
title = pp.Title("Nice Hello")
legend = pp.Panel((None, 0.5))
legend.axis("off")
fig.main = title / (ax1 | ax2) / (ax3 | ax4) / legend
fig.display()
```
```python
fig = pp.Figure()
axes = []
ax1 = pp.Panel((2, 2))
ax1.plot([1, 2, 3], [1, 2, 3])
axes.append(ax1)
ax2 = pp.Panel((2, 2))
ax2.barh([1, 2, 3], [1, 2, 3])
axes.append(ax2)
ax3 = pp.Panel((2, 2))
ax3.scatter([1, 2, 3], [3, 1, 2])
axes.append(ax3)
ax4 = pp.Panel((2, 2))
ax4.matshow([[1, 2], [3, 4]])
axes.append(ax4)
fig.main = pp.Wrap(axes, ncol = 3)
fig.display()
```
```python
import pandas as pd
import numpy as np
data = pd.DataFrame(np.random.randn(1000, 20))
obs = pd.DataFrame({
"celltype":["Kupffer cells"] * 300 + ["Stellate cells"] * 300 + ["Stupid cells"] * 400
})
celltypes = pd.DataFrame.from_dict({
"Kupffer cells": {"color": "red"},
"Stellate cells": {"color": "blue"},
"Stupid cells": {"color": "green"}
}, orient = "index")
var = pd.DataFrame(index = [f"gene_{i}" for i in range(20)])
var["module"] = ["module_1"] * 5 + ["module_2"] * 5 + ["module_3"] * 10
data.columns = var.index
modules = pd.DataFrame({
"module":["module_1", "module_2", "module_3"],
"color":["red", "blue", "green"]
}).set_index("module")
var["color"] = modules.loc[var["module"]]["color"].values
```
```python
fig = pp.Figure(pp.Grid(padding_height = 0., padding_width = 0.))
row_layout = pp.heatmap.layouts.Broken(var["module"].astype("category"))
col_layout = pp.heatmap.layouts.Broken(obs["celltype"].astype("category"))
main_heatmap = fig.main.add(pp.heatmap.Heatmap(data, row_layout = row_layout, col_layout = col_layout))
heading = fig.main.add_above(pp.heatmap.heading.HeadingTop(obs, celltypes, col_layout))
ticks = fig.main.add_left(pp.heatmap.ticks.TicksLeft(var, row_layout), row = main_heatmap)
heading = fig.main.add_right(pp.heatmap.heading.HeadingRight(var, modules, row_layout), row = main_heatmap)
fig.display()
```
```python
fig = pp.Figure(pp.Grid(padding_height = 0., padding_width = 0.))
row_layout = pp.heatmap.layouts.Broken(var["module"].astype("category"))
col_layout = pp.heatmap.layouts.Broken(obs["celltype"].astype("category"))
main_heatmap = fig.main.add(pp.heatmap.Heatmap(data, row_layout = row_layout, col_layout = col_layout))
heading = fig.main.add_above(pp.heatmap.heading.HeadingTop(obs, celltypes, col_layout))
ticks = fig.main.add_right(pp.heatmap.ticks.TicksRight(var, row_layout), row = main_heatmap)
heading = fig.main.add_left(pp.heatmap.heading.HeadingLeft(var, modules, row_layout), row = main_heatmap)
fig.display()
```
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"description": "## Polyptich: easier layouting in matplotlib\n\n\n```python\nimport polyptich as pp\n```\n\n\n```python\nfig = pp.Figure()\nax = pp.Panel((2, 2))\nax.plot([1, 2, 3], [1, 2, 3])\nfig.main.add_right(ax)\n\nax = pp.Panel((2, 2))\nax.plot([1, 2, 3], [1, 2, 3])\nfig.main.add_right(ax)\n\nax = pp.Panel((2, 2))\nax.plot([1, 2, 3], [1, 2, 3])\nfig.main.add_right(ax)\nfig.display()\n```\n\n\n \n\n \n\n\n\n```python\nfig = pp.Figure()\nax1 = pp.Panel((2, 2))\nax1.plot([1, 2, 3], [1, 2, 3])\nax1.add_tag(\"a\")\n\nax2 = pp.Panel((2, 2))\nax2.barh([1, 2, 3], [1, 2, 3])\nax2.add_tag(\"b\")\n\nax3 = pp.Panel((2, 2))\nax3.scatter([1, 2, 3], [3, 1, 2])\nax3.add_tag(\"c\")\n\nax4 = pp.Panel((2, 2))\nax4.matshow([[1, 2], [3, 4]])\nax4.add_tag(\"d\")\n\ntitle = pp.Title(\"Nice Hello\")\nlegend = pp.Panel((None, 0.5))\nlegend.axis(\"off\")\n\nfig.main = title / (ax1 | ax2) / (ax3 | ax4) / legend\nfig.display()\n```\n\n\n \n\n \n\n\n\n```python\nfig = pp.Figure()\naxes = []\n\nax1 = pp.Panel((2, 2))\nax1.plot([1, 2, 3], [1, 2, 3])\naxes.append(ax1)\n\nax2 = pp.Panel((2, 2))\nax2.barh([1, 2, 3], [1, 2, 3])\naxes.append(ax2)\n\nax3 = pp.Panel((2, 2))\nax3.scatter([1, 2, 3], [3, 1, 2])\naxes.append(ax3)\n\nax4 = pp.Panel((2, 2))\nax4.matshow([[1, 2], [3, 4]])\naxes.append(ax4)\n\nfig.main = pp.Wrap(axes, ncol = 3)\nfig.display()\n```\n\n\n \n\n \n\n\n\n```python\nimport pandas as pd\nimport numpy as np\ndata = pd.DataFrame(np.random.randn(1000, 20))\nobs = pd.DataFrame({\n \"celltype\":[\"Kupffer cells\"] * 300 + [\"Stellate cells\"] * 300 + [\"Stupid cells\"] * 400\n})\ncelltypes = pd.DataFrame.from_dict({\n \"Kupffer cells\": {\"color\": \"red\"},\n \"Stellate cells\": {\"color\": \"blue\"},\n \"Stupid cells\": {\"color\": \"green\"}\n}, orient = \"index\")\nvar = pd.DataFrame(index = [f\"gene_{i}\" for i in range(20)])\nvar[\"module\"] = [\"module_1\"] * 5 + [\"module_2\"] * 5 + [\"module_3\"] * 10\ndata.columns = var.index\nmodules = pd.DataFrame({\n \"module\":[\"module_1\", \"module_2\", \"module_3\"],\n \"color\":[\"red\", \"blue\", \"green\"]\n}).set_index(\"module\")\nvar[\"color\"] = modules.loc[var[\"module\"]][\"color\"].values\n```\n\n\n```python\nfig = pp.Figure(pp.Grid(padding_height = 0., padding_width = 0.))\n\nrow_layout = pp.heatmap.layouts.Broken(var[\"module\"].astype(\"category\"))\ncol_layout = pp.heatmap.layouts.Broken(obs[\"celltype\"].astype(\"category\"))\n\nmain_heatmap = fig.main.add(pp.heatmap.Heatmap(data, row_layout = row_layout, col_layout = col_layout))\nheading = fig.main.add_above(pp.heatmap.heading.HeadingTop(obs, celltypes, col_layout))\n\nticks = fig.main.add_left(pp.heatmap.ticks.TicksLeft(var, row_layout), row = main_heatmap)\nheading = fig.main.add_right(pp.heatmap.heading.HeadingRight(var, modules, row_layout), row = main_heatmap)\n\nfig.display()\n```\n\n\n \n\n \n\n\n\n```python\nfig = pp.Figure(pp.Grid(padding_height = 0., padding_width = 0.))\n\nrow_layout = pp.heatmap.layouts.Broken(var[\"module\"].astype(\"category\"))\ncol_layout = pp.heatmap.layouts.Broken(obs[\"celltype\"].astype(\"category\"))\n\nmain_heatmap = fig.main.add(pp.heatmap.Heatmap(data, row_layout = row_layout, col_layout = col_layout))\nheading = fig.main.add_above(pp.heatmap.heading.HeadingTop(obs, celltypes, col_layout))\n\nticks = fig.main.add_right(pp.heatmap.ticks.TicksRight(var, row_layout), row = main_heatmap)\nheading = fig.main.add_left(pp.heatmap.heading.HeadingLeft(var, modules, row_layout), row = main_heatmap)\n\nfig.display()\n```\n\n\n \n\n \n\n",
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