{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":"import pandas as pd\r\n\r\n# The competition datafiles are in the directory ../input\r\n# Read competition data files:\r\ntrain = pd.read_csv(\"../input/train.csv\")\r\ntest  = pd.read_csv(\"../input/test.csv\")\r\n\r\n# Write to the log:\r\nprint(\"Training set has {0[0]} rows and {0[1]} columns\".format(train.shape))\r\nprint(\"Test set has {0[0]} rows and {0[1]} columns\".format(test.shape))\r\n# Any files you write to the current directory get shown as outputs"},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":"print(type(train.values))\nprint(train.values)\n"},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":"train_val = train.values\nprint(train_val.shape)\n"},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":"train_data = train_val[:, 1:]\nprint(train_data)"},{"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}