Made changes to load data from data directory on Jupyter Hub and deleted data directory.

04-FFT_DFT_and_Applications/resample.ipynb

@@ -25,6 +25,7 @@
    "source": [
     "# Import all required packages\n",
     "%matplotlib inline\n",
+    "import os\n",
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "from obspy import read\n",
@@ -38,8 +39,8 @@
    "outputs": [],
    "source": [
     "# Read the data\n",
-    "st = read(\"../data/DOR50/*063\")\n",
-    "print(st)"
+    "datapath = os.path.join(os.path.expanduser('~'),'work', 'data', 'DOR50', '*063')\n",
+    "st = read(datapath)"
    ]
   },
   {

05-Spectrogram/multipleFilterTechnique.ipynb

@@ -174,8 +174,9 @@
     "stime = UTCDateTime('2013-01-23 14:17:00Z')         # use record starting at 1400\n",
     "etime = UTCDateTime('2013-01-23 14:19:00Z')\n",
     "ttitle = ', depth: 56.5 m'\n",
-    "    \n",
-    "datapath = \"../data/{}/{}\".format(station, 'e*'+record+'*.HHZ')      # search string for database\n",
+    "\n",
+    "# search string for database\n",
+    "datapath = os.path.join(os.path.expanduser('~'),'work', 'data', 'GE-stations', station, 'e*'+record+'*.HHZ')\n",
     "st = read(datapath)                                  # read file using obspy read\n",
     "print(st)\n",
     "\n",
@@ -298,7 +299,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.11"
+   "version": "3.6.7"
   }
  },
  "nbformat": 4,

05-Spectrogram/nonlinear_thresholding.ipynb

@@ -36,6 +36,7 @@
    "outputs": [],
    "source": [
     "# Load all required packages\n",
+    "import os\n",
     "import numpy as np\n",
     "from scipy.signal import stft, istft\n",
     "import matplotlib.pyplot as plt"
@@ -48,9 +49,9 @@
    "outputs": [],
    "source": [
     "# Load our earthquake data and plot\n",
-    "d = np.load(\"../data/events/bug2019mgoh_Z.npz\")\n",
-    "#d = np.load(\"../data/events/bug2019gbbo_Z.npz\")\n",
-    "#d = np.load(\"../data/events/bug2019ibsd_Z.npz\")\n",
+    "d = np.load(os.path.join(os.path.expanduser('~'),'work', 'data', 'events', 'bug2019mgoh_Z.npz'))\n",
+    "#d = np.load(os.path.join(os.path.expanduser('~'),'work', 'data', 'events', 'bug2019gbbo_Z.npz'))\n",
+    "#d = np.load(os.path.join(os.path.expanduser('~'),'work', 'data', 'events', 'bug2019ibsd_Z.npz'))\n",
     "plt.figure(figsize=(15, 8))\n",
     "plt.plot(d['data']);"
    ]

05-Spectrogram/time_frequency_analysis.ipynb

@@ -2,7 +2,6 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "delayed-degree",
    "metadata": {},
    "source": [
     "# Time Frequency Analysis\n",
@@ -23,7 +22,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "rising-paint",
    "metadata": {},
    "source": [
     "## Borehole Data and Test Site\n",
@@ -43,7 +41,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "lonely-caribbean",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -58,7 +55,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "serial-stanford",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -77,7 +73,7 @@
     "    etime = UTCDateTime('2013-01-23 14:19:00Z')\n",
     "    ttitle = ', depth: 56.5 m'\n",
     "    \n",
-    "datapath = \"../data/{}/{}\".format(station, 'e*'+record+'*.HHZ')      # search string for database\n",
+    "datapath = os.path.join(os.path.expanduser('~'),'work', 'data','GE-stations', station, 'e*'+record+'*.HHZ')    # search string for database\n",
     "st = read(datapath)                                  # read file using obspy read\n",
     "print(st)\n",
     "\n",
@@ -91,7 +87,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "boring-killer",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -113,7 +108,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "drawn-ability",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -132,7 +126,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "stylish-monte",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -159,7 +152,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "unnecessary-military",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -194,7 +186,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "hydraulic-productivity",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -209,7 +200,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "biological-championship",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -227,7 +217,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "simple-humidity",
    "metadata": {},
    "source": [
     "## Exercise \n",
@@ -245,7 +234,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "previous-concern",
    "metadata": {},
    "source": [
     "### The Hamming window\n",
@@ -255,7 +243,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "ultimate-disaster",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -277,7 +264,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.11"
+   "version": "3.6.7"
   }
  },
  "nbformat": 4,