{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"07c772f1-6d04-dd2f-bca9-a4990e664417"},"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\ntrain=pd.read_csv('../input/train_numeric.csv', usecols=['Id','Response'])\nrows_count = len(train)\nid = train.Id\nfor i in range(1, len(failure_ids)):\n    d = abs(failure_ids[i] - failure_ids[i-1])\n    if d not in count:\n        count[d] = 0            \n    count[d] = count[d] + 1"}],"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}