{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","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 matplotlib.pyplot as plt\nimport seaborn as sns\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 all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# Any results you write to the current directory are saved as output.","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"df_inj = pd.read_csv(\"../input/nfl-playing-surface-analytics/InjuryRecord.csv\")\ndf_playlist =pd.read_csv(\"../input/nfl-playing-surface-analytics/PlayList.csv\")\ndf_play_track =pd.read_csv(\"../input/nfl-playing-surface-analytics/PlayerTrackData.csv\")\n\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_inj.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_playlist.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_play_track.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_inj.BodyPart.value_counts() /len(df_inj.BodyPart)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sever_inj_m42_df = df_inj[df_inj[\"DM_M42\"]==1]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sever_inj_m28_df = df_inj[df_inj[\"DM_M28\"]==1]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sever_inj_m7_df = df_inj[df_inj[\"DM_M7\"]==1]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"len(sever_inj_m7_df)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sever_inj_m7_df.BodyPart.value_counts() / len(sever_inj_m7_df.BodyPart)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"len(sever_inj_m28_df)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sever_inj_m28_df.BodyPart.value_counts() / len(sever_inj_m28_df.BodyPart)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sever_inj_m42_df.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sever_inj_m42_df.BodyPart.value_counts() / len(sever_inj_m42_df.BodyPart)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_playlist_severinj =df_playlist[sever_inj_m42_df[\"PlayerKey\"]& df_playlist[\"PlayerKey\"]]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_playlist_severinj.PlayType.value_counts()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_playlist_severinj.Position.value_counts()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_playlist_severinj.Temperature.value_counts()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_playlist_severinj_7 =df_playlist[sever_inj_m7_df[\"PlayerKey\"]& df_playlist[\"PlayerKey\"]]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_playlist_severinj_7.Temperature.value_counts()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_playlist_severinj_28 =df_playlist[sever_inj_m28_df[\"PlayerKey\"]& df_playlist[\"PlayerKey\"]]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_playlist_severinj_28.Temperature.value_counts()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_playlist_severinj_7","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_playlist_severinj_total=df_playlist[df_inj[\"PlayerKey\"] & df_playlist[\"PlayerKey\"]]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_playlist.duplicated(\"PlayerKey\").value_counts()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_playlist_severinj_total.Weather.value_counts()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sns.catplot(x='Position', kind='count', data=df_playlist, orient='h')\nplt.xticks(rotation = 90)\nplt.title(\"Position of all the players\",size = 20)\nplt.xlabel(\"Position\",size = 14)\nplt.show()\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":1}