September 2023
Intermediate to advanced
424 pages
13h 21m
Japanese
Content preview from Pythonデータ分析 実践ハンドブック 実務で使えるデータ加工のテクニック
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175
5
データの分布の確認
5
-
4
5-4-1
統計的な確認
value_counts()
import pandas as pd
df = pd.read_parquet("data/penguins.parquet")
df.shape #
(344, 11)
Sex
dropna
False
df.loc[:, "Sex"].value_counts(dropna=False)
MALE 168
FEMALE 165
NaN 11
Name: Sex, dtype: int64
...
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