Slice Plots

thin wrapper on top of matplotlib's .imshow() for 2D plotting, with attached slice plots

• Free software: BSD license
• Documentation: https://sliceplots.readthedocs.io

Features

• only depends on matplotlib
• uses its pure OO (look Ma, no pyplot!) interface
• support for 1D and 2D plots with various customization options
• broken-axis 1D plots
• small codebase
• designed for non-interactive use, scripting and publication-quality plots

Quick start

Install the package via:

$ pip install sliceplots

Generate a quick slice plot:

import sliceplots.two_dimensional as two_d

axis_data = np.linspace(0, np.pi, 128)
data_2d = np.cos(axis_data - 0.5) * np.cos(axis_data.reshape(-1, 1) - 1.0)

two_d.Plot2D(
    data_2d,
    axis_data,  # horiz. axis
    axis_data,  # vert. axis
    xlabel="x",
    ylabel="y",
    zlabel="f(x,y)",
    hslice_val=0.75,
    vslice_val=2.75,
)

Run the sliceplots example notebook live on Binder to see examples of how to use sliceplots or visit the tutorial on Read the Docs.