From 9c8af03ca1b737bd473b2463cc86ff46b39cdbfa Mon Sep 17 00:00:00 2001
From: Spokhim <spokhim@hotmail.com>
Date: Sun, 6 Sep 2020 00:49:01 +1000
Subject: [PATCH] Chec and update file paths

---
 Snip Investigation.ipynb | 31 ++++++++++++-------------------
 1 file changed, 12 insertions(+), 19 deletions(-)

diff --git a/Snip Investigation.ipynb b/Snip Investigation.ipynb
index 2e5163c..238c16e 100644
--- a/Snip Investigation.ipynb	
+++ b/Snip Investigation.ipynb	
@@ -10,11 +10,11 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": 3
+   "version": "3.7.4-final"
   },
   "orig_nbformat": 2,
   "kernelspec": {
-   "name": "python_defaultSpec_1596697988384",
+   "name": "python_defaultSpec_1599316647819",
    "display_name": "Python 3.7.4 64-bit ('tvb': venv)"
   }
  },
@@ -23,7 +23,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 7,
    "metadata": {
     "tags": []
    },
@@ -62,19 +62,19 @@
     {
      "output_type": "stream",
      "name": "stdout",
-     "text": "do-not-track\\LCycle_G[0.75]_MouseCortex_Tseries_20200805-031253_.csv\n"
+     "text": "do-not-track\\Old\\5_8_20\\LCycle_G[0.75]_MouseCortex_Tseries_20200805-031253_.csv\n"
     }
    ],
    "source": [
-    "TseriesFile = glob.glob(\"do-not-track/LCycle_G[0.75*Tseries*_.csv\")[1]\n",
-    "ScorrFile = glob.glob(\"do-not-track/LCycle_G[0.75*SCorr*_.csv\")[1]\n",
-    "FCMFile = glob.glob(\"do-not-track/LCycle_G[0.75*FCM*_.csv\")[1]\n",
+    "TseriesFile = glob.glob(\"do-not-track\\\\Old\\\\5_8_20\\\\LCycle_G[0.75*Tseries*_.csv\")[1]\n",
+    "ScorrFile = glob.glob(\"do-not-track\\\\Old\\\\5_8_20\\\\LCycle_G[0.75*SCorr*_.csv\")[1]\n",
+    "FCMFile = glob.glob(\"do-not-track\\\\Old\\\\5_8_20\\\\LCycle_G[0.75*FCM*_.csv\")[1]\n",
     "print(TseriesFile)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 8,
    "metadata": {
     "tags": []
    },
@@ -181,7 +181,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 19,
    "metadata": {
     "tags": []
    },
@@ -195,7 +195,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 10,
    "metadata": {
     "tags": []
    },
@@ -203,7 +203,7 @@
     {
      "output_type": "stream",
      "name": "stdout",
-     "text": "1\nSCFC =  SpearmanrResult(correlation=0.39001655130012575, pvalue=1.2354801358988211e-49)\nFCFC =  SpearmanrResult(correlation=0.6129895629303821, pvalue=5.7513349554580164e-70)\n10\nSCFC =  SpearmanrResult(correlation=0.3900971456589239, pvalue=1.175791982143924e-49)\nFCFC =  SpearmanrResult(correlation=0.613030062899865, pvalue=5.601068427039144e-70)\n100\nSCFC =  SpearmanrResult(correlation=0.3900678437055767, pvalue=1.1971537493180992e-49)\nFCFC =  SpearmanrResult(correlation=0.6132501520018289, pvalue=4.850195735306111e-70)\n1000\nSCFC =  SpearmanrResult(correlation=0.39038286360334234, pvalue=9.863772978751427e-50)\nFCFC =  SpearmanrResult(correlation=0.6144452057653352, pvalue=2.215477685245727e-70)\n10000\nSCFC =  SpearmanrResult(correlation=0.3864635172803344, pvalue=1.0813446646225768e-48)\nFCFC =  SpearmanrResult(correlation=0.6161577817065863, pvalue=7.165704114663534e-71)\n100000\nSCFC =  SpearmanrResult(correlation=0.35912096383650566, pvalue=8.039788142483966e-42)\nFCFC =  SpearmanrResult(correlation=0.5921138800646416, pvalue=2.9608885744609305e-64)\n"
+     "text": "1\nSCFC =  SpearmanrResult(correlation=0.39001655130012575, pvalue=1.2354801358988211e-49)\nFCFC =  SpearmanrResult(correlation=0.6129895629303821, pvalue=5.7513349554580164e-70)\n10\nSCFC =  SpearmanrResult(correlation=0.3900971456589239, pvalue=1.175791982143924e-49)\nFCFC =  SpearmanrResult(correlation=0.613030062899865, pvalue=5.601068427039144e-70)\n100\nSCFC =  SpearmanrResult(correlation=0.3900678437055767, pvalue=1.1971537493180992e-49)\nFCFC =  SpearmanrResult(correlation=0.6132501520018289, pvalue=4.850195735306111e-70)\n1000\nSCFC = SpearmanrResult(correlation=0.39038286360334234, pvalue=9.863772978751427e-50)\nFCFC =  SpearmanrResult(correlation=0.6144452057653352, pvalue=2.215477685245727e-70)\n10000\nSCFC =  SpearmanrResult(correlation=0.3864635172803344, pvalue=1.0813446646225768e-48)\nFCFC =  SpearmanrResult(correlation=0.6161577817065863, pvalue=7.165704114663534e-71)\n100000\nSCFC =  SpearmanrResult(correlation=0.35912096383650566, pvalue=8.039788142483966e-42)\nFCFC =  SpearmanrResult(correlation=0.5921138800646416, pvalue=2.9608885744609305e-64)\n"
     }
    ],
    "source": [
@@ -275,13 +275,6 @@
     "Until we snip 1e5 of data (which is like 5/6 of the data) and the usual, since we are taking the correlation of a shorter data length, our error bars indicate that the result we get is worse. \n",
     "This salso uggests, that the snip we have so far already allows the system to reach equilibrium if it ever does. "
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ]
 }
\ No newline at end of file