ã¯ããã« dplyråæ§ã®æä½ãå¯è½ã«ããdfplyã©ã¤ãã©ãªã®ã¾ã¨ããä»åã¯ãã¼ã¿ã®å 工編ã§ãã ãªãã¨ãtidyrã®é¢æ°ã使ãã¾ãï¼ åºæ¬æä½ã¯ä¸è¨è¨äºããåç §ãã ããã dplyr使ãã®ããã®pandas dfplyãããç·¨ äºåæºåãä¾ãã¼ã¿ ä¾ãã¼ã¿ã¯seabornã©ã¤ãã©ãªã«ä»å±ãã¦ããã¿ããªå¤§å¥½ãtitanicã¨ç°¡åã«ä½æãããã¼ã¿ã使ãã¾ãã import pandas as pd import numpy as np from dfply import * #dfplyèªã¿è¾¼ã¿ import seaborn as sns titanic = sns.load_dataset('titanic') #titanicèªã¿è¾¼ã¿
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