Pandas Series.nunique() 函式
Jinku Hu
2023年1月30日
2020年6月17日
Python Pandas Series.nunique()方法計算 Python Pandas Series
中的唯一值。
pandas.Series.nunique()
語法
Series.nunique(dropna=True)
引數
dropna |
預設為 True 如果為 True ,則 NaN 被排除在外;如果為 False ,則 NaN 也被計算在內 |
返回值
它返回一個整數,計算呼叫者 Pandas Series
中的唯一值。
示例程式碼:Series.nunique()
方法
import pandas as pd
import numpy as np
ser = pd.Series([1, 2, 3, np.nan, 3, 4, np.nan],
name = 'No.')
print(ser.nunique())
輸出:
4
呼叫者 Series
除了 NaN
外有 4 個唯一的值–[1, 2, 3, 4]
,因此 Series.nunique()
方法返回 4,因為 NaN
被預設排除在外。
示例程式碼: Series.nunique()
方法的 dropna=False
import pandas as pd
import numpy as np
ser = pd.Series([1, 2, 3, np.nan, 3, 4, np.nan],
name = 'No.')
print(ser.nunique(dropna=False))
輸出:
5
當 dropna
為 False
時,Series.nunique()
方法也計入 NaN
。
Author: Jinku Hu
Founder of DelftStack.com. Jinku has worked in the robotics and automotive industries for over 8 years. He sharpened his coding skills when he needed to do the automatic testing, data collection from remote servers and report creation from the endurance test. He is from an electrical/electronics engineering background but has expanded his interest to embedded electronics, embedded programming and front-/back-end programming.
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