Download this example as a Jupyter notebook.

---

Nbsphinx example

This example renders a Jupyter notebook using the nbsphinx extension.

Plot a simple sphere using PyVista.

import pyvista as pv

pv.set_jupyter_backend("html")

sphere = pv.Sphere()
sphere.plot()

plotter = pv.Plotter(notebook=True)
plotter.add_mesh(sphere, color="white", show_edges=True)
plotter.title = "3D Sphere Visualization"
plotter.show()

Figures with Matplotlib

This example shows how to render a figure using Matplotlib.

import matplotlib.pyplot as plt
import numpy as np

time = np.linspace(0, 2 * np.pi, 100)

fig, ax = plt.subplots()
ax.plot(time, np.cos(time), color="blue", label=r"$\cos{(t)}$")
ax.plot(time, np.sin(time), color="red", label=r"$\sin{(t)}$")

ax.set_xlabel("Time [time units]")
ax.set_ylabel("Amplitude [distance units]")
ax.set_title("Trigonometric functions")

plt.show()

Figures with Plotly

This example shows how to render a figure using Matplotlib.

import plotly
import plotly.graph_objs as go

time = np.linspace(0, 2 * np.pi, 100)

cos_trace = go.Scatter(x=time, y=np.cos(time), mode="lines", name="cos(t)")
sin_trace = go.Scatter(x=time, y=np.sin(time), mode="lines", name="sin(t)")

fig = go.Figure(data=[cos_trace, sin_trace])
plotly.io.show(fig)

Render equations using the IPython math module.

from IPython.display import Math

eq = Math(r"\int\limits_{-\infty}^\infty f(x) \delta(x - x_0) dx = f(x_0)")
eq

from IPython.display import Latex

Latex(r"This is a \LaTeX{} equation: $a^2 + b^2 = c^2$")

Render a table in markdown.

This is an example to render the table inside the notebook

A	B	A and B
False	False	False
True	False	False
False	True	False
True	True	True

Render a data frame

import pandas as pd

# Create a dictionary of data
data = {
    "A": [True, False, True, False],
    "B": [False, True, False, True],
    "C": [True, True, False, False],
}

# Create DataFrame from the dictionary
df = pd.DataFrame(data)

# Display the DataFrame
df.head()