{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"72f2f5c4-ea92-9b65-1747-6d54b332c8f4"},"outputs":[],"source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load in \n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n\nfrom subprocess import check_output\nprint(check_output([\"ls\", \"../input\"]).decode(\"utf8\"))\n\n# Any results you write to the current directory are saved as output."},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"fc0b6cdf-97ed-a6bf-16eb-d51ca44e3b62"},"outputs":[],"source":"df=pd.read_csv('../input/test.csv')"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"639318f3-e370-4498-1cba-acebdbb8e18f"},"outputs":[],"source":"df.head(10)"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"319bd30b-f018-a8bf-822a-bbdbf62ec988"},"outputs":[],"source":"df2=pd.read_csv('../input/train.csv')"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"95947fe4-390a-3cd0-38fa-d59ace3001c3"},"outputs":[],"source":"df2.head(10)"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"d57ac08c-129a-e201-11a7-57b777c38547"},"outputs":[],"source":""}],"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":"3.5.2"}},"nbformat":4,"nbformat_minor":0}