回答編集履歴
3
追記
test
CHANGED
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@@ -30,7 +30,7 @@
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どうしてもstatisticsでやりたい場合は、data_listを1次元に落とし込んでから使う手もあります。
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```python3
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@@ -38,18 +38,18 @@
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import statistics
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import numpy as np
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df = pd.DataFrame([[1, 2], [1, 3], [4, 6]], columns=['A', 'B'])
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data_list = df.values.tolist()
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data_list = sum(data_list, []) # [1, 2, 1, 3, 4, 6]
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hensa =
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hensa = statistics.pstdev(data_list)
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print("標準偏差=",hensa)
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# 標準偏差= 1.9
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# 標準偏差= 1.7716909687891083
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```
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2
追記
test
CHANGED
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@@ -27,3 +27,29 @@
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# 標準偏差= 1.7716909687891083
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```
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不偏推定量はこちら
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```python3
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import pandas as pd
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import statistics
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import numpy as np
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df = pd.DataFrame([[1, 2], [1, 3], [4, 6]], columns=['A', 'B'])
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data_list = df.values.tolist()
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hensa = np.std(data_list, ddof=1)
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print("標準偏差=",hensa)
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# 標準偏差= 1.9407902170679516
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```
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1
コード修正
test
CHANGED
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@@ -20,10 +20,10 @@
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data_list = df.values.tolist()
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hensa = np.std(data_list
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hensa = np.std(data_list)
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print("標準偏差=",hensa)
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# 標準偏差= 0
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# 標準偏差= 1.7716909687891083
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```
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