跟着NC学作图 | 批量箱线图+散点+差异分析

今天要复现的图来自2021年 7月的一篇Nature Communication。今天先来复现其中的一幅箱线图。

前言

今天这副图片的内容是批量箱线图+散点+差异分析，我们使用EcoAmp来进行绘制。EcoAmp是一个使用R语言作为绘图工具，python编写界面化的用户友好型的绘图软件。

原文图片：

我的复现：

数据准备

从原文中下载提供的数据

分组信息：

复现结果

打开分组箱线图-分面 的程序

拖动输入数据和分组信息，然后点击运行

会出现如下的结果，不要慌，因为图片太多了默认设置的尺寸比较小，所以绘制的箱线图都看不见了，我们需要将尺寸调大即可

可以在右边的参数调整区对图形进行调整，这里可以直接导入我们的配置文件即可

导入之后然后点击左下角的刷新图片，然后等待8s左右即可复刻出图，当然也可以替换成你自己的数据

然后可以导出jpg，pdf，svg等格式，然后可以在图片编辑软件中进一步调整一下即可。

下面提供配置文件如下，复制下面的数据，粘贴到txt文本中，然后将后缀名称改成json即可在软件中导入配置：

{
    "picture_width": "11",
    "picture_height": "11",
    "font_Style": "Arial",
    "axis_text_x_Alignment": "middle",
    "axis_text_y_Alignment": "middle",
    "axis_text_x_angle": "45",
    "axis_text_y_angle": "0",
    "show_x_title": true,
    "x_title_text": "",
    "show_y_title": true,
    "y_title_text": "",
    "Size_x_title": "14",
    "x_title_font_weight": "plain",
    "x_title_color": "#191919",
    "Size_y_title": "14",
    "y_title_font_weight": "plain",
    "y_title_color": "#191919",
    "Size_x_Axis": "16",
    "x_Axis_font_weight": "plain",
    "x_Axis_color": "#191919",
    "Size_y_Axis": "16",
    "y_Axis_font_weight": "plain",
    "y_Axis_color": "#191919",
    "show_title": false,
    "title_name": "",
    "title_size": "20",
    "title_color": "#191919",
    "title_font_weight": "plain",
    "show_legend": false,
    "legend_text_font_weight": "plain",
    "legend_text_color": "#191919",
    "legend_text_font_size": "14",
    "legend_title_font_size": "14",
    "legend_title_font_weight": "plain",
    "legend_title_color": "#191919",
    "custom_legend_title_name": "",
    "legend_position": "right",
    "legend_direction": "vertical",
    "inside_legend_x": "0.5",
    "inside_legend_y": "0.8",
    "show_x_\u523b\u5ea6": true,
    "show_y_\u523b\u5ea6": true,
    "x_\u523b\u5ea6\u957f\u5ea6": "0.30",
    "y_\u523b\u5ea6\u957f\u5ea6": "0.30",
    "x_\u523b\u5ea6\u989c\u8272": "#191919",
    "y_\u523b\u5ea6\u989c\u8272": "#191919",
    "x_\u523b\u5ea6\u7c97\u7ec6": "0.60",
    "y_\u523b\u5ea6\u7c97\u7ec6": "0.60",
    "x\u523b\u5ea6\u4f4d\u7f6e": "outside",
    "y\u523b\u5ea6\u4f4d\u7f6e": "outside",
    "show_x_Axis_border": true,
    "show_y_Axis_border": true,
    "colour_x_Axis_border": "#191919",
    "colour_y_Axis_border": "#191919",
    "size_x_Axis_border": "0.6",
    "size_y_Axis_border": "0.6",
    "show_panel_border": false,
    "panel_border_colour": "#191919",
    "panel_border_size": "1.5",
    "bar_width": "0.50",
    "bar_inner_width": "0.00",
    "bar_alpha": "0.00",
    "bar_border_size": "1",
    "bar_border_color": "#191919",
    "bar_border_color_follow_bar": true,
    "bar_color_set": "Set1",
    "bar_color_show_custom_color": true,
    "custom_colors1": "#6dba54",
    "custom_colors2": "#4579af",
    "custom_colors3": "#eeb975",
    "custom_colors4": "#cb5457",
    "custom_colors5": "#D7D7D7",
    "custom_colors6": "#D7D7D7",
    "custom_colors7": "#D7D7D7",
    "custom_colors8": "#D7D7D7",
    "custom_colors9": "#D7D7D7",
    "custom_colors10": "#D7D7D7",
    "show_point": true,
    "point_jitter_width": "0.6",
    "point_alpha": "1",
    "point_size": "1.5",
    "point_shape": "16",
    "point_color": "#191919",
    "point_stroke": "0.1",
    "point_color_follow_bar": true,
    "show_errorbar": false,
    "error_bar_color_follow_bar": false,
    "errorbar_width": "0.3",
    "errorbar_size": "1",
    "error_bar_color": "#191919",
    "show_sig_letter": false,
    "sig_letter_type": "group",
    "sig_letter_level": "0.05",
    "sig_letter_method": "TukeyHSD",
    "letter_color": "#191919",
    "letter_size": "6",
    "letter_style": "plain",
    "letter_height_factor": "0.08",
    "letter_color_follow_bar": false,
    "show_sig_star": true,
    "sig_star_method": "t\u68c0\u9a8c(\u7b49\u65b9\u5dee)",
    "sig_padj_method": "holm",
    "hide_ns": true,
    "star_or_pvalue": "p.adj.signif",
    "sig_star_height": "0",
    "sig_star_size": "6",
    "star_font_weight": "plain",
    "star_line_type": "1",
    "star_line_tiplength": "0.03",
    "sig_star_color": "#191919",
    "show_plot_background": false,
    "show_panel_background": false,
    "plot_background_color": "#EEEEEE",
    "panel_background_color": "#EEEEEE",
    "show_x_grid_line": false,
    "show_y_grid_line": false,
    "x_grid_line_color": "#FFFFFF",
    "x_grid_line_size": "0.5",
    "y_grid_line_color": "#FFFFFF",
    "y_grid_line_size": "0.5",
    "from_top_distance": "0.90",
    "from_bottom_distance": "0.05",
    "ylim_min": "",
    "ylim_max": "",
    "\u662f\u5426\u81ea\u5b9a\u4e49y\u523b\u5ea6": false,
    "y\u523b\u5ea6": "0,1,2,3,4,5",
    "format_y_number_style": "",
    "\u662f\u5426\u8bbe\u7f6ey\u8f74\u65ad\u70b9": false,
    "y\u8f74\u65ad\u70b9\u4e0b\u9650": "",
    "y\u8f74\u65ad\u70b9\u4e0a\u9650": "",
    "\u65ad\u533a\u7684\u5bbd\u5ea6": "0.10",
    "code_text": "",
    "show_average_point": false,
    "average_point_shape": "5",
    "average_point_size": "3",
    "average_point_color": "#D7D7D7",
    "average_point_stroke": "0.1",
    "ncol": "5",
    "strip_position": "top",
    "scales_method_y": "free",
    "scales_method_x": "fixed",
    "strip_background_color": "#EEEEEE",
    "strip_background_border_color": "#191919",
    "strip_background_border_size": "1",
    "strip_text_color": "#191919",
    "strip_text_size": "16",
    "strip_text_font_weight": "bold.italic",
    "show_strip_text": true,
    "show_strip_background": false,
    "point_offset": "0",
    "show_outlier_point": false,
    "outlier_shape": "16",
    "outlier_size": "3",
    "outlier_color": "#191919"
}

数据下载：

https://www.123684.com/s/g5qnjv-98zaH