add jupytext paired script

Author: davidgodinez

electrophysiology/02-Imported Tables - Interactive.ipynb

@@ -7,23 +7,6 @@
     "# Working with automated computations: Imported tables"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "go\n"
-     ]
-    }
-   ],
-   "source": [
-    "print('go')"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -190,7 +173,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# ENTER YOUR CODE! - restrict session by an element of keys\n"
+    "# ENTER YOUR CODE! - restrict session using keys and any element inside keys. \n"
    ]
   },
   {

electrophysiology/02-Imported Tables - Interactive.py

@@ -15,8 +15,6 @@
 
 # # Working with automated computations: Imported tables
 
-print('go')
-
 # Welcome back! In this session, we are going to continue working with the pipeline for the mouse electrophysiology example. 
 #
 # In this session, we will learn to:
@@ -70,7 +68,7 @@
 
 # Any item in this list of keys can be used to uniquely identify a single session!
 
-# ENTER YOUR CODE! - restrict session by an element of keys
+# ENTER YOUR CODE! - restrict session using keys and any element inside keys. 
 
 
 # Let's take the first key, and generate the file name that corresponds to this session. Remember the `data_{mouse_id}_{session_date}.npy` filename convetion!

electrophysiology/03-Computed Table, Lookup Table, and Part Table - Interactive.ipynb

@@ -741,7 +741,7 @@
     "threshold = 0.5\n",
     "\n",
     "# find activity above threshold\n",
-    "above_thrs = (activity > threshold).astype(np.int)   \n",
+    "above_thrs = (activity > threshold).astype(int)   \n",
     "\n",
     "plt.plot(activity)\n",
     "plt.plot(above_thrs)\n",
@@ -762,7 +762,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "rising = (np.diff(above_thrs) > 0).astype(np.int)   # find rising edge of crossing threshold\n",
+    "rising = (np.diff(above_thrs) > 0).astype(int)   # find rising edge of crossing threshold\n",
     "spikes = np.hstack((0, rising))    # prepend 0 to account for shortening due to np.diff\n",
     "\n",
     "plt.plot(activity)\n",
@@ -807,9 +807,9 @@
     "threshold =     # enter different threshold values here\n",
     "\n",
     "# find activity above threshold\n",
-    "above_thrs = (activity > threshold).astype(np.int) \n",
+    "above_thrs = (activity > threshold).astype(int) \n",
     "\n",
-    "rising = (np.diff(above_thrs) > 0).astype(np.int)   # find rising edge of crossing threshold\n",
+    "rising = (np.diff(above_thrs) > 0).astype(int)   # find rising edge of crossing threshold\n",
     "spikes = np.hstack((0, rising))    # prepend 0 to account for shortening due to np.diff\n",
     "\n",
     "count = spikes.sum()   # compute total spike counts\n",
@@ -999,8 +999,8 @@
     "        activity = (Neuron() & key).fetch1('activity')\n",
     "        threshold = (SpikeDetectionParam() & key).fetch1('threshold')\n",
     "\n",
-    "        above_thrs = (activity > threshold).astype(np.int)   # find activity above threshold\n",
-    "        rising = (np.diff(above_thrs) > 0).astype(np.int)   # find rising edge of crossing threshold\n",
+    "        above_thrs = (activity > threshold).astype(int)   # find activity above threshold\n",
+    "        rising = (np.diff(above_thrs) > 0).astype(int)   # find rising edge of crossing threshold\n",
     "        spikes = np.hstack((0, rising))    # prepend 0 to account for shortening due to np.diff\n",
     "\n",
     "        count = spikes.sum()   # compute total spike counts\n",
@@ -1336,6 +1336,9 @@
   }
  ],
  "metadata": {
+  "jupytext": {
+   "formats": "ipynb,py:light"
+  },
   "kernelspec": {
    "display_name": "Python 3",
    "language": "python",
@@ -1351,7 +1354,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.0"
+   "version": "3.5.6"
   }
  },
  "nbformat": 4,