import matplotlib.pyplot as plt


def plot_chart(
    chart_type,
    data,
    title=None,
    x_axis_label=None,
    y_axis_label=None,
    **kwargs,
):
    fig, ax = plt.subplots(figsize=(8, 5))

    if chart_type in {"bar", "line", "pie"}:
        if data.shape[1] < 2:
            raise ValueError("DataFrame must have at least two columns")
        data = data.head(20)
        x = data.iloc[:, 0]
        y = data.iloc[:, 1]

    if chart_type == "bar":
        ax.bar(x, y)
        ax.set_xlabel(x_axis_label or data.columns[0])
        ax.set_ylabel(y_axis_label or data.columns[1])

    elif chart_type == "line":
        ax.plot(x, y, marker="o")
        ax.set_xlabel(x_axis_label or data.columns[0])
        ax.set_ylabel(y_axis_label or data.columns[1])

    elif chart_type == "pie":
        ax.pie(y, labels=x, autopct="%1.1f%%")
        ax.axis("equal")

    elif chart_type == "hist":
        if data.shape[1] < 3:
            raise ValueError("Histogram DataFrame must have 3 columns")

        bin_start = data.iloc[:, 0]
        bin_end = data.iloc[:, 1]
        frequency = data.iloc[:, 2]

        widths = bin_end - bin_start
        ax.bar(bin_start, frequency, width=widths, align="edge")

        ax.set_xlabel(x_axis_label or "Value Range")
        ax.set_ylabel(y_axis_label or "Frequency")

    else:
        plt.close(fig)
        raise ValueError(f"Unsupported chart type: {chart_type}")

    if title:
        ax.set_title(title)

    fig.tight_layout()
    return fig