first commit

.gitignore

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+/flanker_test_blue.xlsx
+/flanker_test_green.xlsx
+/flanker_test_orange.xlsx
+/flanker_test_pink.xlsx
+/flanker_test_red.xlsx

config_flanker.yaml

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+flanker_test_blue : 'flanker_test_blue.xlsx'
+flanker_test_green : 'flanker_test_green.xlsx'
+flanker_test_orange : 'flanker_test_orange.xlsx'
+flanker_test_pink : 'flanker_test_pink.xlsx'
+flanker_test_red : 'flanker_test_red.xlsx'

flanker_test.ipynb

@@ -0,0 +1,196 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 312,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import panel as pn\n",
+    "import os\n",
+    "import re\n",
+    "import yaml\n",
+    "from bokeh.io import output_notebook\n",
+    "from bokeh.plotting import figure, show\n",
+    "from bokeh.layouts import gridplot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 313,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def configReader():\n",
+    "    \"\"\"\n",
+    "    explanation: This function open config,yaml file \n",
+    "    and fetch the gonfigue file information\n",
+    "    input: ...\n",
+    "    output: configue file\n",
+    "    \"\"\"\n",
+    "    with open(\"config_flanker.yaml\", \"r\") as inputFile:\n",
+    "        config = yaml.safe_load(inputFile)\n",
+    "    return config"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 314,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "def render_plot(x_axis='index', y_axis='reaction_time', plot_type='boxPlot'):\n",
+    "    \"\"\"\n",
+    "    explanation: This function opens all files finds those that have data\n",
+    "                 and erase rest of them. thenadd some property to data and \n",
+    "                 use the plot function to sketch the data.\n",
+    "    input: type of graph, x_axis, y_axis\n",
+    "    output: a set of graphs\n",
+    "    \"\"\"\n",
+    "    #read file names and enter the heet names\n",
+    "    config = configReader()\n",
+    "    sheet_name = ['dehydration_1', 'dehydration_2', 'dehydration_3', 'control_1', 'control_2', 'control_3']\n",
+    "    graph = []\n",
+    "\n",
+    "    #save the name of the sheets as the keys and data frames as values, determining color\n",
+    "    for flanker_test in config.values():\n",
+    "        flanker_test_dic = pd.read_excel(flanker_test,sheet_name=sheet_name)\n",
+    "        filename = os.path.basename(flanker_test)\n",
+    "        color = re.split(\"[_.]\", filename)[-2]\n",
+    "\n",
+    "        #erase empty cells\n",
+    "        for key in list(flanker_test_dic.keys()):\n",
+    "            if flanker_test_dic[key].empty: \n",
+    "                del flanker_test_dic[key]\n",
+    "\n",
+    "        #add some properties\n",
+    "        for key in flanker_test_dic:\n",
+    "            flanker_test_dic[key].columns = ['flanker', 'homology', 'accuracy', 'reaction_time']\n",
+    "            flanker_test_dic[key].insert(0, 'participant', color)\n",
+    "            flanker_test_dic[key].insert(0, 'index', flanker_test_dic[key].index)\n",
+    "\n",
+    "        #making the plots\n",
+    "        fig = making_plots(flanker_test_dic, color, graph, x_axis, y_axis, plot_type)\n",
+    "        graph.append(fig)\n",
+    "    return(gridplot(graph, ncols=2, plot_width=450, plot_height=300))\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 315,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def making_plots(flanker_test_dic, color, graph,x_axis, y_axis, plot_type):\n",
+    "    \"\"\"\n",
+    "    explanation: This function makes plots based on plot type, x and y axises\n",
+    "    input: test dictionary, color, main graph, x axis, y axis, plot type\n",
+    "    output: figure of each color\n",
+    "    \"\"\"\n",
+    "    fig = figure(title=f'Flanker Test {color}', plot_width=800, plot_height=900)\n",
+    "    colors = ['red', 'blue','green', 'purple', 'black']\n",
+    "\n",
+    "    for counter, key in enumerate(flanker_test_dic):\n",
+    "\n",
+    "            #make a plot base on the type\n",
+    "            if plot_type=='line':\n",
+    "                fig.line(x=flanker_test_dic[key][x_axis], y=flanker_test_dic[key][y_axis],\n",
+    "                    legend_label= key, line_width=0.5, color=colors[counter])\n",
+    "                \n",
+    "            elif plot_type=='scatter':\n",
+    "                fig.scatter( x=flanker_test_dic[key][x_axis], y=flanker_test_dic[key][y_axis],\n",
+    "                        legend_label= key, marker='circle', fill_color=colors[counter], line_color='white', size=5)\n",
+    "                \n",
+    "            elif plot_type=='vbar':\n",
+    "                df = pd.DataFrame(flanker_test_dic[key])\n",
+    "                dff = pd.DataFrame(flanker_test_dic[key].groupby([x_axis]).count())            \n",
+    "                fig.vbar(x=dff.index, width=0.5, bottom=0, top=dff[y_axis], \n",
+    "                        color=colors[counter], legend_label= key)   \n",
+    "\n",
+    "    return fig"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 316,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "BokehDeprecationWarning: plot_width and plot_height was deprecated in Bokeh 2.4.0 and will be removed, use width or height instead.\n"
+     ]
+    }
+   ],
+   "source": [
+    "#making an interactive plot\n",
+    "columns_name = ['index', 'homology', 'accuracy', 'reaction_time']\n",
+    "plot_name =  ['line', 'scatter', 'vbar']\n",
+    "inter_plot = pn.interact(render_plot, x_axis=columns_name, y_axis=columns_name, plot_type=plot_name)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 318,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Launching server at http://localhost:63094\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<bokeh.server.server.Server at 0x1eafa0de1f0>"
+      ]
+     },
+     "execution_count": 318,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#making a dashboard of interactive plot\n",
+    "dashboard = pn.template.BootstrapTemplate(title='Flanker Test',sidebar_width=200)\n",
+    "dashboard.sidebar.append(inter_plot[0])\n",
+    "dashboard.main.append(inter_plot[1])\n",
+    "dashboard.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "e4cce46d6be9934fbd27f9ca0432556941ea5bdf741d4f4d64c6cd7f8dfa8fba"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}