def plot_employee_count_comparison(df, cmap1, cmap2):
    _, (ax1, ax2) = plt.subplots(1, 2, figsize=(18, 7), sharex=True, sharey=True)

    df.plot(kind="barh", colormap=cmap1, width=0.8, edgecolor="#000000", stacked=True, ax=ax1)
    for container in ax1.containers:
        ax1.bar_label(container, label_type="center", fontsize=10, color="#FFFFFF", fontweight="bold")
    ax1.set_title("Employee Count (Discrete Colormap)", loc="left", fontdict={"weight": "bold"}, y=1.06)
    ax1.set_xlabel("Count")
    ax1.set_ylabel("Department")

    df.plot(kind="barh", colormap=cmap2, width=0.8, edgecolor="#000000", stacked=True, ax=ax2)
    for container in ax2.containers:
        ax2.bar_label(container, label_type="center", fontsize=10, color="#FFFFFF", fontweight="bold")
    ax2.set_title("Employee Count (Linear Colormap)", loc="left", fontdict={"weight": "bold"}, y=1.06)
    ax2.set_xlabel("Count")
    ax2.set_ylabel("Department")

    # Adjust layout
    plt.tight_layout()
    plt.show()

plot_employee_count_comparison(df=df, cmap1=cmap_discrete, cmap2=cmap_linear)