.. image:: images/logo.png

-------------------------------------

Logo
''''

The logo for `reliability` can be created using the code below. The logo was generated using matplotlib version 3.3.3 and reliability version 0.5.5. The image produced requires subsequent cropping to remove surrounding white space.

.. code:: python

    from reliability.Distributions import Weibull_Distribution
    import matplotlib.pyplot as plt
    import numpy as np

    plt.figure(figsize=(10, 4))

    # blue distribution
    x_blue_fill = np.linspace(0, 19, 1000)
    blue_dist = Weibull_Distribution(alpha=5.5, beta=2, gamma=0.63)
    y_blue_fill = blue_dist.PDF(linewidth=3, xvals=x_blue_fill, show_plot=False)
    plt.fill_between(
        x=x_blue_fill,
        y1=np.zeros_like(y_blue_fill),
        y2=y_blue_fill,
        color="steelblue",
        linewidth=0,
        alpha=0.2,
    )
    blue_dist.PDF(linewidth=3, xvals=np.linspace(1.5, 19, 100))

    # orange distribution
    orange_dist = Weibull_Distribution(alpha=6, beta=3.3, gamma=8)
    x_orange = np.linspace(0, 19, 1000)
    orange_dist.PDF(linewidth=3, xvals=x_orange)
    plt.plot([-4, orange_dist.gamma + 0.27], [0, 0], linewidth=5.5, color="darkorange")

    # orange histogram
    samples = orange_dist.random_samples(20000, seed=3)
    plt.hist(
        x=samples[samples < max(x_orange)],
        density=True,
        alpha=0.4,
        color="darkorange",
        bins=25,
        edgecolor="k",
    )

    # text objects
    plt.text(x=-4, y=0.005, s="RELIABILITY", size=70, fontname="Calibri")
    plt.text(
        x=-4,
        y=-0.005,
        va="top",
        s="A Python library for reliability engineering",
        size=34.85,
        fontname="Calibri",
    )

    plt.xlim(-5, 20)
    plt.title("")
    plt.axis("off")
    plt.tight_layout()
    plt.show()

If you have any suggestions for future versions of this logo, please send them through by email to alpha.reliability@gmail.com