{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nfrom matplotlib import pyplot as plt\n\n# Load the Data\ndf_train = pd.read_csv('../input/train.csv')\ndf_test = pd.read_csv('../input/test.csv')"},{"cell_type":"markdown","metadata":{},"source":"# Facebook Inital Exploration"},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":"# First Let's extract a small region of interest\ndf_block = df_train.where(df_train.,df_train)\n\n"},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":"df_train.x.values"},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":""}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"}},"nbformat":4,"nbformat_minor":0}