將pypeas.Series從dtype對(duì)象轉(zhuǎn)換為float,將錯(cuò)誤轉(zhuǎn)換為nan考慮以下情況:In [2]: a = pd.Series([1,2,3,4,'.'])In [3]: aOut[3]: 0 11 22 33 44 .dtype: objectIn [8]: a.astype('float64', raise_on_error = False)Out[8]: 0 11 22 33 44 .dtype: object我本來(lái)期望一個(gè)允許轉(zhuǎn)換的選項(xiàng),同時(shí)將錯(cuò)誤的值(例如那個(gè).)轉(zhuǎn)換為NaNs。有沒有辦法實(shí)現(xiàn)這個(gè)目標(biāo)?s
將pypeas.Series從dtype對(duì)象轉(zhuǎn)換為float,將錯(cuò)誤轉(zhuǎn)換為nans
慕運(yùn)維8079593
2019-08-13 17:13:49