Plot a minimalist histogram

plot_mini_hist.py

import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns

def plot_mini_hist(data: pd.Series, log_scale=False, xlim=None):
    """
    :param data: a pandas series containing the `original` data (not to be confused with stats)
    :param log_scale: plot x-axis in log scale (optional, default=False)
    :param xlim: limit the range of x-axis, e.g. [-100, 300] (optional, default=None)
    """
    fig, ax = plt.subplots(figsize=(3, 0.5))
    sns.kdeplot(data, ax=ax, log_scale=log_scale, fill=True, color="black")
    if log_scale:
        x_major = matplotlib.ticker.LogLocator(base = 10.0, numticks = 5)
        ax.xaxis.set_major_locator(x_major)
        x_minor = matplotlib.ticker.LogLocator(base = 10.0, subs = np.arange(1.0, 10.0) * 0.1, numticks = 10)
        ax.xaxis.set_minor_locator(x_minor)
    ax.set_xlabel("")
    ax.set_xlim(min(data) if xlim is None else xlim)
    ax.get_yaxis().set_visible(False)
    ax.spines['top'].set_visible(False)
    ax.spines['right'].set_visible(False)
    ax.spines['left'].set_visible(False)
    return fig