mplscience
Matplotlib style for scientific publications. This style keeps things pretty simple and aims to make moderate improvements to the base matplotlib style. It also sets things like the PDF font type to make it easier to interact with figures in Adobe Illustrator. Open the tutorial in Colab to see examples. mplscience is compatible with all Matplotlib-based packages, including Seaborn.
Usage
To install:
pip install mplscience
To use:
import mplscience
import seaborn as sns
mplscience.available_styles()
mplscience.set_style()
df = sns.load_dataset("anscombe")
sns.scatterplot(x="x", y="y", hue="dataset", data=df)
If you're using Seaborn, you may want to run sns.reset_orig() first to clear Seaborn-specific styling. You can also use the reset_current parameter of mplscience functions to reset any custom styling like this:
mplscience.set_style(reset_current=True)
The style can also be using in a context like this:
import mplscience
with mplscience.style_context():
plt.plot(x, y)
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Release files for mplscience 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mplscience-0.0.7.tar.gz | 4.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mplscience-0.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:8.9 kB
Release files / mplscience-0.0.7.tar.gz
| Download URL | mplscience-0.0.7.tar.gz |
|---|---|
| Size | 4.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.2 CPython/3.9.6 Darwin/22.2.0
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Release files / mplscience-0.0.7-py3-none-any.whl
| Download URL | mplscience-0.0.7-py3-none-any.whl |
|---|---|
| Size | 4.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.2 CPython/3.9.6 Darwin/22.2.0
|
