Wrapper project of plotly.py, extra functionalities for scientific plots
Project description
PPlotly.py
It is a wrapper around plotly.py. Graph styles and functionalities are added to get scientific plots.
Quickstart
pip install pplotly
import pplotly as pp
fig = pp.Figure()
fig = fig.add_trace(pp.Scatter(x=["a", "b", "c"], y=[1, 3, 2]))
fig.show()
All the plotly functionalities are available to use under pplotly.plotly
Examples
Error plot
import pplotly as pp
import numpy as np
fig = pp.make_errorplot(
xaxis_title="X-Title",
yaxis1_title="Y-Title [Unit]",
yaxis2_title="Error [Unit]"
)
x_data = [1, 2, 3]
y1_data = [2.1, 2.2, 3.1]
y2_data = [2.15, 2.21, 3.05]
fig.add_trace(
pp.Scatter(x=x_data, y=y1_data, name="Plot 1")
)
fig.add_trace(
pp.Scatter(x=x_data, y=y2_data, name="Plot 2")
)
error = [abs(p2-p1) for p1, p2 in zip(y1_data, y2_data)]
rmse = np.sqrt(np.mean(np.array(error)**2))
fig.add_trace(pp.Scatter(x=x_data, y=error, name=f"Abs Error: RMSE = {round(rmse, 3)}"), row=2, col=1)
fig.show()
Developer options
git clone
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
pre-commit install
Project details
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python-publish.yml@54cc7b3fc9121bf80d76e46960912bd67193f42c -
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