{"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\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","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Taking Input","execution_count":null},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"train = pd.read_csv(\"../input/landmark-recognition-2020/train.csv\")\ntrain.head()\nprint(train)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Separate into X and Y","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"# x = train.iloc[:,0].values\n# y = train.iloc[:,1].values\n\nx = train['id']\ny = train['landmark_id']\n\nprint(x)\nprint(y)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### Visualizing Data","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"count_landmark = pd.DataFrame(y.value_counts())\ncount_landmark.reset_index(inplace=True)\ncount_landmark.columns = ['landmark_id', 'count']\n\ncount_landmark","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.figure(figsize = (12, 10))\n\nsns.set(style=\"whitegrid\")\n\nsns.barplot(x=\"landmark_id\", y=\"count\", data=count_landmark.head(10))\n\nplt.show()","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":4}