{"cells":[{"cell_type":"markdown","metadata":{"_cell_guid":"1348d1be-31e2-93b4-6bca-29e3b6240e4b"},"source":"**Counting Sea Lions**"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"5047a0da-86fb-1c95-4274-d7af30be9e8a"},"outputs":[],"source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nfrom subprocess import check_output\nimport matplotlib.pyplot as plt\nprint(check_output([\"ls\", \"../input\"]).decode(\"utf8\"))\nfrom glob import glob\nimport seaborn as sns\nfrom scipy import stats\n\ndf = pd.read_csv('../input/Train/train.csv')\nprint(\"{} training samples total\".format(df.shape[0]))\ndf.head()"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"5ed7f8c0-8e48-858b-35c6-e6c87de420ec"},"outputs":[],"source":"training_images = glob('../input/Train/*.jpg')\ntraining_dotted = glob('../input/TrainDotted/*.jpg')\nlen(training_images), len(training_dotted)"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"41a3ccdf-2c4d-61c6-e228-c4244d8183f6"},"outputs":[],"source":"fig = plt.figure(figsize=(16,10))\nfor i in range(4):\n    ax = fig.add_subplot(2,2,i+1)\n    plt.imshow(plt.imread(training_images[i]))"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"b2bc1243-1800-4d8f-e3bb-8e681384dae7"},"outputs":[],"source":""},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"30cb817e-bb43-45af-89a9-74e4d2bcbf7a"},"outputs":[],"source":"def corrfunc(x, y, **kws):\n    r, _ = stats.pearsonr(x, y)\n    ax = plt.gca()\n    ax.annotate(\"r = {:.3f}\".format(r),\n                xy=(.1, .9), xycoords=ax.transAxes)\n\ng = sns.PairGrid(df[['adult_males', 'subadult_males', 'adult_females', 'juveniles', 'pups']], palette=[\"red\"])\ng.map_lower(plt.scatter, s=10)\ng.map_diag(sns.distplot, kde=False)\ng.map_lower(corrfunc)"}],"metadata":{"_change_revision":0,"_is_fork":false,"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.6.0"}},"nbformat":4,"nbformat_minor":0}