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DataFrame.columns ã¡ã½ããã使ç¨ã㦠Pandas DataFrame ã®åã®ååãå¤æ´ãã DataFrame.rename() ã¡ã½ããã使ç¨ã㦠Pandas DataFrame ã®åã®ååãå¤æ´ãã DataFrame.set_axis() ã¡ã½ããã使ç¨ã㦠Pandas DataFrame ã®åã®ååãå¤æ´ãã å¤ãã®å ´åããã¼ã¿åæã§ååãæä½ããå¿ è¦ãããã¾ãããã®è¨äºã§ã¯ããã§ã«å®ç¾©ããã¦ãã panadas DataFrame ã®ååãæä½/ååå¤æ´ããããã®ãã¾ãã¾ãªæ¹æ³ãæ¢ãã¾ãã DataFrame.columns ã¡ã½ããã使ç¨ã㦠Pandas DataFrame ã®åã®ååãå¤æ´ãã ãã®æ¹æ³ã¯é常ã«ç°¡åã§ãåã®ååãç´æ¥å¤æ´ã§ãã¾ãã次ã®ããã« DataFrame.columns å±æ§ã使ç¨ãã¦æ°ããååã®ãªã¹ããå²ãå½ã¦ããã¨ãã§ãã¾ã
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pandas.DataFrameããç¹å®ã®æååãå«ãè¦ç´ ãæã¤è¡ãæ½åºããæ¹æ³ï¼å®å ¨ä¸è´ã»é¨åä¸è´ï¼ã«ã¤ãã¦èª¬æããã ããã§ã¯ãã¼ãªã¢ã³ã¤ã³ããã¯ã¹ï¼Boolean indexingï¼ãç¨ããæ¹æ³ã説æããããquery()ã¡ã½ããã使ããã¨ãå¯è½ã é¢é£è¨äº: pandas.DataFrameã®è¡ãæ¡ä»¶ã§æ½åºããquery ãã¼ã¿ï¼è¦ç´ ï¼ã§ã¯ãªããè¡åã»ååãç¹å®ã®æååãå«ãè¡ã»åãæ½åºããã«ã¯filter()ã¡ã½ããã使ãã以ä¸ã®è¨äºãåç §ã é¢é£è¨äº: pandas.DataFrameã®è¡ã»åãè¡åã»ååã®æ¡ä»¶ã§æ½åºããfilter æ¬è¨äºã®ãµã³ãã«ã³ã¼ãã®pandasã®ãã¼ã¸ã§ã³ã¯ä»¥ä¸ã®éãã以ä¸ã®pandas.DataFrameãä¾ã¨ãã¦ä½¿ãã sample_pandas_normal.csv import pandas as pd print(pd.__version__
pandasã§DataFrame, Seriesã®è¦ç´ ã®å¤ãç½®æããã«ã¯replace()ã¡ã½ããã使ããè¤æ°ã®ç°ãªãè¦ç´ ãä¸æ¬ã§ç½®æããããæ£è¦è¡¨ç¾ã§æååã®ä¸é¨åã®ã¿ãç½®æããããããã¨ãã§ããã pandas.DataFrame.replace â pandas 2.1.3 documentation pandas.Series.replace â pandas 2.1.3 documentation Seriesã«å¯¾ãã¦ã¯map()ã¡ã½ããã§ç½®æãããã¨ãå¯è½ãæ£è¦è¡¨ç¾ã¯ä½¿ããªãããæ¡ä»¶ã«ãã£ã¦ã¯replace()ããmap()ã®ã»ããé«éã«ãªãå ´åãããã é¢é£è¨äº: pandas.Seriesã®mapã¡ã½ããã§åã®è¦ç´ ãç½®æ å¤ãæå®ãã¦ç½®æããã®ã§ã¯ãªããæ¡ä»¶ã«å¿ãã¦å¤ãç½®æããæ¹æ³ã¯ä»¥ä¸ã®è¨äºãåç §ã é¢é£è¨äº: pandasã§æ¡ä»¶ã«å¿ãã¦å¤ãç½®æï¼where, maskï¼
pandasã§DataFrameãSeriesãã½ã¼ãï¼ä¸¦ã³æ¿ãï¼ããã«ã¯ãsort_values()ããã³sort_index()ã¡ã½ããã使ããæé ã»éé ãåãæ¿ããããè¤æ°åãåºæºã«ã½ã¼ããããã§ããã ãªããå¤ããã¼ã¸ã§ã³ã«ãã£ãsort()ã¡ã½ããã¯å»æ¢ããã¦ããã®ã§æ³¨æã æé ã»éé ã«ä¸¦ã¹æ¿ããã®ã§ã¯ãªããæé ã»éé ã«é ä½ä»ãããçµæãå¾ãã«ã¯rank()ãè¡åã»ååãæå®ãã¦ä»»æã®é çªã«ä¸¦ã¹æ¿ããã«ã¯reindex()ã使ãã é¢é£è¨äº: pandas.DataFrame, Seriesãé ä½ä»ãããrank é¢é£è¨äº: pandas.DataFrameã®è¡ã»åãä»»æã®é ã«ä¸¦ã¹æ¿ããreindex nåã®æ大å¤ã»æå°å¤ï¼å¤§ããæ¹ããnåãå°ããæ¹ããnåï¼ãå«ãè¡ã»è¦ç´ ãåãåºãnlargest(), nsmallest()ãããã é¢é£è¨äº: pandasã§nåã®æ大å¤ã»æ
pandas.DataFrameã®è¡åï¼index, ã¤ã³ããã¯ã¹ï¼ã»ååï¼columnsï¼ãå¤æ´ããã«ã¯ãrename()ã¡ã½ãããset_axis()ã¡ã½ãããªã©ã使ãã æ¢åã®åãã¤ã³ããã¯ã¹ã«è¨å®ããset_index()ã¨ããã¡ã½ãããããã é¢é£è¨äº: pandas.DataFrameã®åãã¤ã³ããã¯ã¹ï¼è¡åï¼ã«å²ãå½ã¦ãset_index æ¬è¨äºã®ãµã³ãã«ã³ã¼ãã®pandasã®ãã¼ã¸ã§ã³ã¯ä»¥ä¸ã®éãããã¼ã¸ã§ã³ã«ãã£ã¦ä»æ§ãç°ãªãå¯è½æ§ãããã®ã§æ³¨æã以ä¸ã®pandas.DataFrameãä¾ã¨ãã¦ä½¿ãã import pandas as pd print(pd.__version__) # 2.0.3 df = pd.DataFrame({'A': [11, 21, 31], 'B': [12, 22, 32], 'C': [13, 23, 33]}, index=['ON
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