def draw_linechart(w,h,v_lines, title, x_label, y_label, rot, legend, sort, sort_array, grid, sci, save, ylim=[]):
    fig = plt.figure(figsize=(w,h))
    #title and axis labels
    plt.title(title,fontsize=20)
    plt.ylabel(y_label)
    plt.xlabel(x_label)

    if(len(ylim) == 2):
        axes = plt.gca()
        axes.set_ylim(ylim)

    #scientific notation
    if sci:
        plt.ticklabel_format(style='sci', axis='y', scilimits=(0,0), useMathText=True)

    #ticks angle (0=horizontal, 90=vertical)
    plt.xticks(rotation=rot)

    #grid
    if grid:
        plt.grid(color='grey', linestyle='--', linewidth=0.5)

    for i in range(0, len(v_lines)):
        DS = v_lines[i]['dataset']
        x = v_lines[i]['x_att']
        y = v_lines[i]['y_att']

        if sort:
            DS["sort"] = DS_gb.apply(lambda row: get_ind(sort_array, row["borough"]),axis=1)
            DX = DS.sort_values("sort", ascending=True)

    xnew = np.linspace(DS[x].min(),DS[x].max(),300) #300 represents number of points to make between T.min and T.max

     ynew = spline(DS[x],DS[y],xnew)

        #plotting the line
     plt.plot(xnew, ynew, color=v_lines[i]['colore'],
                 label=v_lines[i]['label'], marker=v_lines[i]['marker'],
                 linestyle=v_lines[i]['linestyle'])
    if legend:
         plt.legend(bbox_to_anchor=(1,0.7), loc="center left")
    if save:
        plt.savefig(title+".png", bbox_inches="tight")
    else:
        plt.show()