def chart_show()

in chartify/examples.py [0:0]

• 22 lines of code
• 1 McCabe index (conditional complexity)

def chart_show():
    """
    Docstring
    """
    import numpy as np
    import pandas as pd
    import chartify

    # Generate example data
    data = pd.DataFrame({"x": list(range(100))})
    data["y"] = data["x"] * np.random.normal(size=100)
    data["z"] = np.random.choice([2, 4, 5], size=100)
    data["country"] = np.random.choice(["US", "GB", "CA", "JP", "BR"], size=100)

    # Plot the data
    ch = chartify.Chart(blank_labels=True)
    ch.plot.scatter(
        data_frame=data,
        x_column="x",
        y_column="y",
        size_column="z",
        color_column="country",
    )
    ch.set_title("ch.show(): Faster rendering with HTML. Recommended while drafting.")
    ch.set_subtitle("No watermark. Does not display on github.")
    ch.show("html")  # Show with HTML

    ch.set_title('ch.show("png"): Return a png file for easy copying into slides')
    ch.set_subtitle("Will display on github.")
    ch.show("png")  # Show with PNG