Merge pull request joanby#18 from johnnync13/master

joanby · web-flow · commit df7aa1c97492 · 2020-09-21T11:00:51.000+02:00
Adaptado todos los notebooks, menos T10, hay que rehacer las graficas
diff --git a/notebooks/T10 - 2 - Analisis de Componentes Principales SK Learn-Colab.ipynb b/notebooks/T10 - 2 - Analisis de Componentes Principales SK Learn-Colab.ipynb
@@ -66,11 +66,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "!pip install chart_studio\n",
     "import pandas as pd\n",
     "\n",
-    "import plotly.plotly as py\n",
+    "import chart_studio.plotly as py\n",
     "from plotly.graph_objs import * \n",
-    "import plotly.tools as tls\n",
+    "from chart_studio import tools as tls\n",
     "\n",
     "from sklearn.preprocessing import StandardScaler\n",
     "\n",
@@ -83,7 +84,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "df = pd.read_csv(\"../datasets/iris/iris.csv\")"
+    "df = pd.read_csv(\"/content/python-ml-course/datasets/iris/iris.csv\")"
    ]
   },
   {
diff --git a/notebooks/T10 - 3 - Plotly para dibujar-Colab.ipynb b/notebooks/T10 - 3 - Plotly para dibujar-Colab.ipynb
@@ -7,6 +7,52 @@
     "<a href=\"https://colab.research.google.com/github/joanby/python-ml-course/blob/master/notebooks/T10%20-%203%20-%20Plotly%20para%20dibujar-Colab.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Clonamos el repositorio para obtener los dataSet"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!git clone https://github.com/joanby/python-ml-course.git"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Damos acceso a nuestro Drive"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from google.colab import drive\n",
+    "drive.mount('/content/drive')\n",
+    "# Test it\n",
+    "!ls '/content/drive/My Drive' "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from google.colab import files # Para manejar los archivos y, por ejemplo, exportar a su navegador\n",
+    "import glob # Para manejar los archivos y, por ejemplo, exportar a su navegador\n",
+    "from google.colab import drive # Montar tu Google drive"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -32,9 +78,10 @@
     }
    ],
    "source": [
-    "import plotly.plotly as py\n",
-    "import plotly.graph_objs as go \n",
-    "import plotly.tools as tls\n",
+    "!pip install chart_studio\n",
+    "import chart_studio.plotly as py\n",
+    "import plotly.graph_objects as go\n",
+    "from chart_studio import tools as tls\n",
     "\n",
     "tls.set_credentials_file(username='JuanGabriel', api_key='6mEfSXf8XNyIzpxwb8z7')"
    ]
@@ -61,13 +108,6 @@
     "plotly.__version__"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": 5,
@@ -3895,7 +3935,7 @@
    "outputs": [],
    "source": [
     "import pandas as pd\n",
-    "data = pd.read_csv(\"../datasets/usa-population/usa_states_population.csv\")"
+    "data = pd.read_csv(\"/content/python-ml-course/datasets/usa-population/usa_states_population.csv\")"
    ]
   },
   {
diff --git a/notebooks/T11 - 1 - TensorFlow101-Colab.ipynb b/notebooks/T11 - 1 - TensorFlow101-Colab.ipynb
@@ -75,7 +75,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import tensorflow\n",
+    "import tensorflow as tf\n",
     "print(tensorflow.__version__)"
    ]
   },
diff --git a/notebooks/T11 - 2 - Se&ntilde;ales de tr&aacute;fico-Colab.ipynb b/notebooks/T11 - 2 - Se&ntilde;ales de tr&aacute;fico-Colab.ipynb
@@ -75,10 +75,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import tensorflow\n",
-    "print(tensorflow.__version__)\n",
+    "import tensorflow as tf\n",
+    "print(tf.__version__)\n",
     "import os\n",
-    "import skimage.data as imd\n",
+    "import skimage.io as imd\n",
     "import numpy as np"
    ]
   },
@@ -113,7 +113,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "main_dir = \"../datasets/belgian/\"\n",
+    "main_dir = \"/content/python-ml-course/datasets/belgian/\"\n",
     "train_data_dir = os.path.join(main_dir, \"Training\")\n",
     "test_data_dir = os.path.join(main_dir, \"Testing\")"
    ]
diff --git a/notebooks/T11 - 3 - Reconocimiento de texto escrito-Colab.ipynb b/notebooks/T11 - 3 - Reconocimiento de texto escrito-Colab.ipynb
@@ -75,8 +75,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import tensorflow\n",
-    "print(tensorflow.__version__)\n",
+    "import tensorflow as tf\n",
+    "print(tf.__version__)\n",
     "from tensorflow.examples.tutorials.mnist import input_data"
    ]
   },
diff --git a/notebooks/T12 - 1 - R y Python-Colab.ipynb b/notebooks/T12 - 1 - R y Python-Colab.ipynb
@@ -16,9 +16,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Cloning into 'python-ml-course'...\n",
+      "remote: Enumerating objects: 90, done.\u001b[K\n",
+      "remote: Counting objects: 100% (90/90), done.\u001b[K\n",
+      "remote: Compressing objects: 100% (64/64), done.\u001b[K\n",
+      "^Cceiving objects:  11% (1937/17605), 56.04 MiB | 22.20 MiB/s\n"
+     ]
+    }
+   ],
    "source": [
     "!git clone https://github.com/joanby/python-ml-course.git"
    ]
@@ -86,6 +98,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "!pip install rpy2\n",
     "import rpy2.robjects as ro\n",
     "import rpy2.robjects.numpy2ri"
    ]
@@ -881,7 +894,7 @@
     }
    ],
    "source": [
-    "data = pd.read_csv(\"../datasets/time/time_series.txt\", \n",
+    "data = pd.read_csv(\"/content/python-ml-course/datasets/time/time_series.txt\", \n",
     "                   sep = \"\\s*\", skiprows = 1, parse_dates = [[0,1]],\n",
     "                   names = [\"date\", \"time\", \"wind_speed\"],\n",
     "                   index_col = 0)"
@@ -999,7 +1012,7 @@
     }
    ],
    "source": [
-    "max_ws = data.wind_speed.groupby(pd.TimeGrouper(freq=\"A\")).max()"
+    "max_ws = data.wind_speed.groupby(pd.Grouper(freq=\"A\")).max()"
    ]
   },
   {

Original file line number	Diff line number	Diff line change
`@@ -75,7 +75,7 @@`
`75`	`75`	`"metadata": {},`
`76`	`76`	`"outputs": [],`
`77`	`77`	`"source": [`
`78`		`- "import tensorflow\n",`
	`78`	`+ "import tensorflow as tf\n",`
`79`	`79`	`"print(tensorflow.__version__)"`
`80`	`80`	`]`
`81`	`81`	`},`