This app can interactively preprocess and graph CSV data.
Project description
ライブラリ名 name
maesyorikun
概要 overview
このライブラリはCSVデータを対象として、簡易的な前処理とデータの可視化を、ユーザとのインタラクティブな会話を通して行います。
主にデータの型の変更、欠損値の補完を素早く行い、データ解析における最初の前処理の煩わしさを改善するために制作しました。
This library targets CSV data and performs simple preprocessing and data temporaryization through interactive conversation with the user.
It was created mainly to change the data type and fill in missing values to improve the initial process of data analysis.
使用方法 how to use
maesyorikunをpipでインストールし前処理を行いたいCSVファイルを指定
in_csv_pass =""
アウトプットを指定
out_csv_pass =""
以下のようにライブラリを実行
maesyorikun.maesyorikun(in_csv_pass,out_csv_pass)
Install maesyorikun with pip and specify the CSV file you want to preprocess
in_csv_pass =""
Specify output
out_csv_pass =""
Run the library as below
maesyorikun.maesyorikun(in_csv_pass,out_csv_pass)
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file maesyorikun-0.1.2-py3-none-any.whl.
File metadata
- Download URL: maesyorikun-0.1.2-py3-none-any.whl
- Upload date:
- Size: 4.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.9.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8874a97e3e08641232e968b55b6136496918ddd5a6ee9ad4d09266336d8dc1b3
|
|
| MD5 |
906597c245fcfc54e0684544f6a20a87
|
|
| BLAKE2b-256 |
1cea55524d20c8757df8b6f8e659e8620b7031bbacf435e06bfc17006f56b3c6
|