sliceplots 0.1.2

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

sliceplots

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

Quick start

Install the package via:

$ pip install sliceplots

Generate a quick slice plot:

import numpy as np
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)

p2d = 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,
)
p2d.fig.savefig("imshow_slices.png")

Credits

Big thanks to @afvincent for his gist.

History

0.0.1 (2019-06-16)

• First release on PyPI.

0.1.0 (2019-06-17)

• Added regression tests, usage and docstrings.

0.1.1 (2019-06-19)

• Fixed label positions and colors.