{"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_minor":4,"nbformat":4,"cells":[{"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)\n\n# Input data files are available in the read-only \"../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# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2021-11-16T02:18:42.134145Z","iopub.execute_input":"2021-11-16T02:18:42.134436Z","iopub.status.idle":"2021-11-16T02:18:42.148418Z","shell.execute_reply.started":"2021-11-16T02:18:42.134405Z","shell.execute_reply":"2021-11-16T02:18:42.14722Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# read csv files into pandas dataframe\n\nexample_sub = pd.read_csv('/kaggle/input/g-research-crypto-forecasting/example_sample_submission.csv')\nasset_details = pd.read_csv('/kaggle/input/g-research-crypto-forecasting/asset_details.csv')\nexample_test = pd.read_csv('/kaggle/input/g-research-crypto-forecasting/example_test.csv')\ntrain = pd.read_csv('/kaggle/input/g-research-crypto-forecasting/train.csv')\nsupplemental_train = pd.read_csv('/kaggle/input/g-research-crypto-forecasting/supplemental_train.csv')","metadata":{"execution":{"iopub.status.busy":"2021-11-16T02:18:44.85055Z","iopub.execute_input":"2021-11-16T02:18:44.851537Z","iopub.status.idle":"2021-11-16T02:19:55.932539Z","shell.execute_reply.started":"2021-11-16T02:18:44.851493Z","shell.execute_reply":"2021-11-16T02:19:55.931592Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(example_sub.head())\nprint(example_sub.info())\n","metadata":{"execution":{"iopub.status.busy":"2021-11-16T02:21:12.647724Z","iopub.execute_input":"2021-11-16T02:21:12.648138Z","iopub.status.idle":"2021-11-16T02:21:12.663108Z","shell.execute_reply.started":"2021-11-16T02:21:12.648098Z","shell.execute_reply":"2021-11-16T02:21:12.661926Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(asset_details.head())\nprint(asset_details.info())","metadata":{"execution":{"iopub.status.busy":"2021-11-16T02:21:17.16858Z","iopub.execute_input":"2021-11-16T02:21:17.168928Z","iopub.status.idle":"2021-11-16T02:21:17.18484Z","shell.execute_reply.started":"2021-11-16T02:21:17.168866Z","shell.execute_reply":"2021-11-16T02:21:17.184073Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(example_test.head())\nprint(example_test.info())","metadata":{"execution":{"iopub.status.busy":"2021-11-16T02:19:55.934252Z","iopub.execute_input":"2021-11-16T02:19:55.934477Z","iopub.status.idle":"2021-11-16T02:19:55.972586Z","shell.execute_reply.started":"2021-11-16T02:19:55.934449Z","shell.execute_reply":"2021-11-16T02:19:55.971617Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(train.head())\nprint(train.info())","metadata":{"execution":{"iopub.status.busy":"2021-11-16T02:19:55.973798Z","iopub.execute_input":"2021-11-16T02:19:55.97407Z","iopub.status.idle":"2021-11-16T02:19:55.991422Z","shell.execute_reply.started":"2021-11-16T02:19:55.974039Z","shell.execute_reply":"2021-11-16T02:19:55.990488Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(supplemental_train.head())\nprint(supplemental_train.info())","metadata":{"execution":{"iopub.status.busy":"2021-11-16T02:19:55.993568Z","iopub.execute_input":"2021-11-16T02:19:55.994053Z","iopub.status.idle":"2021-11-16T02:19:56.012132Z","shell.execute_reply.started":"2021-11-16T02:19:55.994014Z","shell.execute_reply":"2021-11-16T02:19:56.01135Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}