ruffing

src/examples/load_photometry_data.ipynb

@@ -13,15 +13,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "# imports\n",
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt\n",
-    "import iblphotometry.io as ffio\n",
-    "import iblphotometry.plots as plots"
+    "import iblphotometry.io as ffio"
    ]
   },
   {
@@ -32,9 +29,10 @@
    "source": [
     "# ONE instantiation\n",
     "from one.api import ONE\n",
+    "\n",
     "one = ONE(base_url='https://alyx.internationalbrainlab.org', mode='remote')\n",
     "\n",
-    "lab = 'cortexlab' # for carolinas dataset or 'wittenlab' for alejandros dataset\n",
+    "lab = 'cortexlab'  # for carolinas dataset or 'wittenlab' for alejandros dataset\n",
     "eids = one.search(dataset='photometry.signal.pqt', lab=lab)\n",
     "eid = eids[2]"
    ]
@@ -452,12 +450,16 @@
     }
    ],
    "source": [
-    "raw_photometry_df = one.load_dataset(eid, dataset='photometry.signal', download_only=True)\n",
+    "raw_photometry_df = one.load_dataset(\n",
+    "    eid, dataset='photometry.signal', download_only=True\n",
+    ")\n",
     "signal_pqt_path = one.eid2path(eid) / 'alf/photometry/photometry.signal.pqt'\n",
-    "locations_df = one.load_dataset(eid, dataset='photometryROI.locations', download_only=True)\n",
+    "locations_df = one.load_dataset(\n",
+    "    eid, dataset='photometryROI.locations', download_only=True\n",
+    ")\n",
     "locations_pqt_path = one.eid2path(eid) / 'alf/photometry/photometryROI.locations.pqt'\n",
     "\n",
-    "ffio.from_ibl_pqt(signal_pqt_path, locations_pqt_path)\n"
+    "ffio.from_ibl_pqt(signal_pqt_path, locations_pqt_path)"
    ]
   }
  ],