4 examples of 'seaborn boxplot multiple columns' in Python

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def draw_plots(self, column_x, column_y, column_hue):
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    """
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    Function that draws plot in the panel.
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    Args:
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        column_x --> 1D dataframe: dataframe column extracted from df 
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            (i.e. column_x = df[column_x_name]) as x axis data
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        column_y --> 1D dataframe: dataframe column extracted from df 
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            (i.e. column_y = df[column_y_name]) as y axis data
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        column_hue --> 1D dataframe: dataframe column extracted from df 
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            (i.e. column_hue = df[column_hue_name]) as legend data
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    Returns: None
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    """
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    # Reset plot first
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    self.box_axes.clear()
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    self.violin_axes.clear()
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    # Box plot
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    try:
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        sns.boxplot(x=column_x, y=column_y, hue=column_hue, data=self.df, ax=self.box_axes)
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    except ValueError as e:
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        # log Error
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        _log_message = "\nBox plot failed due to error:\n--> {}".format(e)
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        pub.sendMessage("LOG_MESSAGE", log_message=_log_message)
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    # Violin plot
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    try:
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        sns.violinplot(x=column_x, y=column_y, hue=column_hue, data=self.df, split=True, ax=self.violin_axes)
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    except ValueError as e:
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        # log Error
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        _log_message = "\nVolin plot failed due to error:\n--> {}".format(e)
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        pub.sendMessage("LOG_MESSAGE", log_message=_log_message)
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    # Set plot style
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    self.box_axes.set_title("Box Plot for {} and {}".format(column_x, column_y))
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    self.box_axes.set_ylabel(column_y)
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    self.box_axes.set_xlabel(column_x)
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    self.box_canvas.draw()
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    self.violin_axes.set_title("Violin Plot for {} and {}".format(column_x, column_y))
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    self.violin_axes.set_ylabel(column_y)
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    self.violin_axes.set_xlabel(column_x)
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    self.violin_canvas.draw()

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def boxplot(data1, data2, data3):
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    df1 = pd.DataFrame({'RxJava': data1})
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    df2 = pd.DataFrame({'java-design-patterns': data2})
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    df3 = pd.DataFrame({'Elasticsearch': data3})
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    df = pd.concat([df1,df2,df3], ignore_index=True, axis=1)
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    df.columns = ['RxJava', 'java-design-patterns', 'Elasticsearch']
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    # print(df)
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    sns.set_style("whitegrid")
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    ax = sns.boxplot(data=df)
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    ax.yaxis.label.set_size(18)
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    ax.xaxis.label.set_size(18)
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    ax.yaxis.set_tick_params(labelsize=16)
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    ax.xaxis.set_tick_params(labelsize=16)
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    plt.ylabel("index update time (s)")
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    # plt.show()
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    fig = ax.get_figure()
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    fig.set_size_inches(10, 5)
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    fig.savefig('../update_time.pdf', bbox_inches='tight')

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def boxplot(x, labels=None, ax=None, **kwargs):
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    fig = None
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    if ax is None:
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        fig, ax = plt.subplots(1, 1)
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    if labels is None and isinstance(x, pd.DataFrame):
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        labels = x.columns
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    ax.boxplot(x, vert=False)
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    _set_plot_options(ax, **kwargs)
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    global _last_axis_
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    _last_axis_ = ax
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    return fig, ax

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def plot(ax, detections):
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    _plot_column(ax, detections, column, **kwargs)