Python PlotUtilities.color_frame方法代码示例

# 需要导入模块: from GeneralUtil.python import PlotUtilities [as 别名]
# 或者: from GeneralUtil.python.PlotUtilities import color_frame [as 别名]
def make_pedagogical_plot(data_to_plot,kw,out_name="./iwt_diagram"):
    heatmap_data = data_to_plot.heatmap_data
    data = landscape_data(data_to_plot.landscape)
    fig = PlotUtilities.figure((3.25,5))
    # # ploy the heat map 
    ax_heat = plt.subplot(3,1,1)
    heatmap_plot(heatmap_data,data.amino_acids_per_nm(),
                 kw_heatmap=kw['kw_heatmap'])
    xlim_fec = plt.xlim()
    PlotUtilities.no_x_label(ax_heat)    
    ax_heat.set_ylim([0,150])
    PlotUtilities.no_x_label(ax_heat)
    PlotUtilities.no_y_label(ax_heat)   
    fontsize_scalebar = 6 
    common_kw = dict(color='w',fontsize=fontsize_scalebar)
    x_font,y_font = Scalebar.\
        font_kwargs_modified(x_kwargs=common_kw,
                             y_kwargs=common_kw)
    heat_kw_common = dict(line_kwargs=dict(color='w',linewidth=1.5))
    x_heat_kw = dict(width=15,unit="nm",font_kwargs=x_font,**heat_kw_common)
    y_heat_kw = dict(height=30,unit='pN ',font_kwargs=y_font,**heat_kw_common)
    # add a scale bar for the heatmap...
    scale_bar_x = 0.83
    Scalebar.crossed_x_and_y_relative(scale_bar_x,0.55,ax=ax_heat,
                                      x_kwargs=x_heat_kw,
                                      y_kwargs=y_heat_kw)
    jcp_fig_util.add_helical_boxes(ax=ax_heat,ymax_box=0.9,alpha=1.0,
                                   font_color='w',offset_bool=True)
    # # plot the energy landscape...
    ax_correction = plt.subplot(3,1,2)    
    plot_with_corrections(data)
    PlotUtilities.no_x_label(ax_correction)
    PlotUtilities.lazyLabel("","Energy (kcal/mol)","")
    ax_correction.set_xlim(xlim_fec)            
    offset_y_pedagogy = 0.42
    setup_pedagogy_ticks(ax_correction,scale_bar_x,x_heat_kw,y_heat_kw,
                         offset_y=offset_y_pedagogy)
    legend_font_size = 9                         
    legend = PlotUtilities.legend(handlelength=1.5,loc=(0.15,0.07),ncol=3,
                                  fontsize=legend_font_size,handletextpad=0.4)
    for i,text in enumerate(legend.get_texts()):
        plt.setp(text, color = kwargs_correction()[i]['color'])    
    # make the inset plot 
    axins = zoomed_inset_axes(ax_correction, zoom=3, loc=2,
                              borderpad=0.8) 
    plot_with_corrections(data)
    xlim_box = [1,5]
    ylim_box = [-3,28]
    plt.xlim(xlim_box)
    plt.ylim(ylim_box)
    PlotUtilities.no_x_anything(axins)
    PlotUtilities.no_y_anything(axins)
    # add in scale bars
    kw_common = dict(line_kwargs=dict(linewidth=0.75,color='k'))
    common_font_inset = dict(fontsize=fontsize_scalebar)
    x_kwargs = dict(verticalalignment='top',**common_font_inset)
    x_font,y_font = Scalebar.\
        font_kwargs_modified(x_kwargs=x_kwargs,
                             y_kwargs=dict(horizontalalignment='right',
                                           **common_font_inset))
    # set up the font, offset ('fudge') the text from the lines                              
    fudge_x = dict(x=0,y=-0.5)
    fudge_y = dict(x=0,y=0.1)
    Scalebar.crossed_x_and_y_relative(0.55,0.66,ax=axins,
                                      x_kwargs=dict(width=2,unit="nm",
                                                    font_kwargs=x_font,
                                                    fudge_text_pct=fudge_x,
                                                    **kw_common),
                                      y_kwargs=dict(height=8,unit='kcal/\nmol',
                                                    font_kwargs=y_font,
                                                    fudge_text_pct=fudge_y,                                                    
                                                    **kw_common))
    # draw a bbox of the region of the inset axes in the parent axes and
    # connecting lines between the bbox and the inset axes area
    color_box = 'rebeccapurple'           
    PlotUtilities.color_frame('rebeccapurple',ax=axins) 
    Annotations.add_rectangle(ax_correction,xlim_box,ylim_box,edgecolor=color_box)
    ax_correction.set_xlim(xlim_fec)
    ax_energy = plt.subplot(3,1,3)    
    plot_landscape(data,xlim_fec,kw_landscape=kw['kw_landscape'],
                   plot_derivative=False,label_deltaG=" ")
    ax_energy.set_xlim(xlim_fec)                         
    setup_pedagogy_ticks(ax_energy,scale_bar_x,x_heat_kw,y_heat_kw,
                         offset_y=offset_y_pedagogy)
    # add in the equation notation
    strings,colors = [],[]
    labels = kwargs_labels()
    # add in the appropriate symbols 
    strings = ["$\Delta G$ = ",labels[0]," + ",labels[1]," - ",labels[2]]
    colors_labels = [c['color'] for c in kwargs_correction()]
    colors = ["k"] + [item for list in [[c,"k"] for c in colors_labels]
                      for item in list]
    x,y = Scalebar.x_and_y_to_abs(x_rel=0.08,y_rel=0.85,ax=ax_energy)        
    Annotations.rainbow_text(x,y,strings=strings,colors=colors,
                             ax=ax_energy,size=legend_font_size)
    PlotUtilities.legend(handlelength=0.5,loc=(0.03,0.8))                             
    PlotUtilities.no_x_label(ax_energy)                         
    PlotUtilities.save_png_and_svg(fig,out_name)