{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"a63ebe55-b742-6a07-ff97-9f9b9fd60ca8"},"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)\nimport collections #I had a list of lists going, the good people at Stack Overflow said DefaultDict!\n%matplotlib inline\nimport matplotlib.pyplot as plt\npd.set_option('max_rows',10)\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.\npage_views = pd.read_csv(\"../input/page_views_sample.csv\",chunksize=10000)\ntotal = 0\ntraffic_source_count = dict()\ntotal_events = 0\nfor chunk in page_views:\n#     print chunk.head()\n    total_events += chunk.shape[0]\n    cc = chunk['traffic_source'].value_counts()\n    for key,val in zip(cc.index,cc):\n        try:\n            traffic_source_count[key] += val\n        except:\n            traffic_source_count[key] = val\n#     print cc\nprint('Finished!')\nprint(traffic_source_count)"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"ed07f5c3-2fe5-7584-68ef-8878ff3e4a6c"},"outputs":[],"source":"print(check_output([\"ls\", \"../input\"]).decode(\"utf8\"))"}],"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}