| Name | seabornxt JSON |
| Version |
0.0.1.dev15
JSON |
| download |
| home_page | |
| Summary | A few handy extension plots using seaborn API. |
| upload_time | 2023-08-17 07:18:30 |
| maintainer | |
| docs_url | None |
| author | Leonard Sasse |
| requires_python | >=3.7 |
| license | |
| keywords |
plotting
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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No coveralls.
|
# seabornxt
A few handy extension plots using seaborn API.
## To install:
You can install from PyPI as follows:
``` shell
pip install seabornxt
```
or you can install it from the GitHub repository:
```
git clone https://github.com/LeSasse/seabornxt.git
cd seabornxt
pip install .
```
## Use example:
```
import seaborn as sns
from seabornxt import stripboxplot
def main():
tips = sns.load_dataset("tips")
plot = stripboxplot(data=tips, x="day", y="total_bill", hue="smoker")
fig = plot.get_figure()
fig.savefig("stripboxplot.pdf")
if __name__ == "__main__":
main()
```
Results in:
## Customise box and strip plots:
You can customise the box and strip plots by passing over the
`strip_kwargs` and `box_kwargs` dictionaries. The following
example displays data points in the same colour as the box plots:
``` python
import seaborn as sns
from seabornxt import stripboxplot
def main():
tips = sns.load_dataset("tips")
plot = stripboxplot(
data=tips,
x="day",
y="total_bill",
hue="smoker",
strip_kwargs={"jitter": True, "alpha": 0.8},
box_kwargs={"boxprops": {"alpha": 0.4}},
)
fig = plot.get_figure()
fig.savefig("stripboxplot_colors.svg")
if __name__ == "__main__":
main()
```
The reason for this is that if no `strip_kwargs` are handed over, I set the color
of the points to black for better visibility by default. But if one hands over
`strip_kwargs`, without explicitly specifying a color, the strip plot goes back
to the seaborn default color/hue. I prefer black as a default as this is most
useful in my use cases.
## Another dataset:
``` python
import seaborn as sns
from seabornxt import stripboxplot
def main():
penguins = sns.load_dataset("penguins")
plot = stripboxplot(
data=penguins,
x="sex",
y="body_mass_g",
hue="species",
)
fig = plot.get_figure()
fig.savefig("stripboxplot_penguins.svg")
if __name__ == "__main__":
main()
```
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"description": "# seabornxt\nA few handy extension plots using seaborn API.\n\n## To install:\n\nYou can install from PyPI as follows:\n\n``` shell\npip install seabornxt\n```\n\nor you can install it from the GitHub repository:\n\n```\ngit clone https://github.com/LeSasse/seabornxt.git\ncd seabornxt\npip install .\n\n```\n\n## Use example:\n\n```\nimport seaborn as sns\nfrom seabornxt import stripboxplot\n\n\ndef main():\n tips = sns.load_dataset(\"tips\")\n\n plot = stripboxplot(data=tips, x=\"day\", y=\"total_bill\", hue=\"smoker\")\n fig = plot.get_figure()\n fig.savefig(\"stripboxplot.pdf\")\n\n\nif __name__ == \"__main__\":\n main()\n\n```\n\nResults in:\n\n\n\n## Customise box and strip plots:\n\nYou can customise the box and strip plots by passing over the\n`strip_kwargs` and `box_kwargs` dictionaries. The following\nexample displays data points in the same colour as the box plots:\n\n``` python\nimport seaborn as sns\nfrom seabornxt import stripboxplot\n\n\ndef main():\n tips = sns.load_dataset(\"tips\")\n\n plot = stripboxplot(\n data=tips,\n x=\"day\",\n y=\"total_bill\",\n hue=\"smoker\",\n strip_kwargs={\"jitter\": True, \"alpha\": 0.8},\n box_kwargs={\"boxprops\": {\"alpha\": 0.4}},\n )\n fig = plot.get_figure()\n fig.savefig(\"stripboxplot_colors.svg\")\n\n\nif __name__ == \"__main__\":\n main()\n\n```\n\n\n\nThe reason for this is that if no `strip_kwargs` are handed over, I set the color\nof the points to black for better visibility by default. But if one hands over \n`strip_kwargs`, without explicitly specifying a color, the strip plot goes back\nto the seaborn default color/hue. I prefer black as a default as this is most\nuseful in my use cases.\n\n## Another dataset:\n\n``` python\nimport seaborn as sns\nfrom seabornxt import stripboxplot\n\n\ndef main():\n penguins = sns.load_dataset(\"penguins\")\n plot = stripboxplot(\n data=penguins,\n x=\"sex\",\n y=\"body_mass_g\",\n hue=\"species\",\n )\n fig = plot.get_figure()\n fig.savefig(\"stripboxplot_penguins.svg\")\n\n\nif __name__ == \"__main__\":\n main()\n\n```\n\n\n\n",
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