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View Where Are My Observations (WAMO) results by local send_mpc text files generated by COIAS

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COIAS WAMO VIEWER

View Where Are My Observations (WAMO)? results by local send_mpc text files generated by COIAS

COIASで生成されたsend_mpc.txtのファイルを読み込み、Where Are My Observations (WAMO)?の結果を整形して表示します。

Environment

  • Python 3.x
  • numpy
  • pandas

Usage

wamo.py

wamo.pyは実行中のディレクトリ以下にあるsend_mpc.txtを探します。send_mpc.txtを保管しているディレクトリで実行するようにしてください。 ホームディレクトリなど、膨大なファイルがある場所で実行すると終わらなくなるので注意してください。

Please execute wamo.py in the directory where the send_mpc.txt file is stored, as it will search within the current working directory. Do not run it in places where there are huge files, such as home directories.

python wamo.py

もしくは、-dオプションでディレクトリを指定すると別のディレクトリを探せます。

Alternatively, you can use the -d option to specify a different directory to search.

python wamo.py -d path/to/your/directory

wamo.ipynb

Python Notebook版です。データをさらにいじりたい場合に便利です。

This is the Python Notebook version of wamo.py. Useful if you want to analyze your data more deeply.

LICENSE

MIT

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View Where Are My Observations (WAMO) results by local send_mpc text files generated by COIAS

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