missing data

 missing data

2022/07/28

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https://pixabay.com/zh/illustrations/people-silhouettes-lots-collection-943873/

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「In Pandas missing data is represented by two value:

None: None is a Python singleton object that is often used for missing data in Python code.

NaN : NaN (an acronym for Not a Number), is a special floating-point value recognized by all systems that use the standard IEEE floating-point representation.」[2]。

「在 Pandas 中，缺失資料由兩種值表示：

None：None 是一個 Python 單例物件，通常用於 Python 代碼中的缺失資料。

NaN：NaN（Not a Number 的首字母縮寫詞），是所有使用標準 IEEE 浮點表示的系統都可以識別的特殊浮點值。」

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References

[1] Working with missing data — pandas 1.4.3 documentation

https://pandas.pydata.org/docs/user_guide/missing_data.html

[2] Working with Missing Data in Pandas - GeeksforGeeks

https://www.geeksforgeeks.org/working-with-missing-data-in-pandas/

[3] Missing values in pandas (nan, None, pd.NA) | note.nkmk.me

https://note.nkmk.me/en/python-pandas-nan-none-na/

[4] Handling Missing Data | Python Data Science Handbook

https://jakevdp.github.io/PythonDataScienceHandbook/03.04-missing-values.html

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Pandas（目錄）

https://mandhistory.blogspot.com/2022/05/pandas.html

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Python Machine Learning（目錄）

https://mandhistory.blogspot.com/2022/05/python.html

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