我正在嘗試從兩個(gè)列表中創(chuàng)建兩列。我嘗試使用 zip 構(gòu)建 DataFrame 并插入列表，但較大的列表被切斷了。import pandas as pdlist1 = ['new book revealing', 'library for topic modelling']list2 = ['potentially embarrassing', 'several international', 'daily newspaper'] df = pd.DataFrame(list(zip(list1, list2)), columns =['list1', 'list2']) 我的輸出： list1 list20 new book revealing potentially embarrassing1 library for topic modelling several international良好的輸出： list1 list20 new book revealing potentially embarrassing1 library for topic modelling several international 2 daily newspaper
3 回答
猛跑小豬
TA貢獻(xiàn)1858條經(jīng)驗(yàn) 獲得超8個(gè)贊
您可以使用pd.DataFrame.from_records和轉(zhuǎn)置：
df = pd.DataFrame.from_records([list1, list2]).T.fillna('')
# df.columns = ['list1', 'list2']
0 1
0 new book revealing potentially embarrassing
1 library for topic modelling several international
2 daily newspaper
慕的地8271018
TA貢獻(xiàn)1796條經(jīng)驗(yàn) 獲得超4個(gè)贊
一種方法是使用zip_longest：
import itertools
pd.DataFrame(itertools.zip_longest(list1, list2), columns =['list1', 'list2'])
list1 list2
0 new book revealing potentially embarrassing
1 library for topic modelling several international
2 None daily newspaper
明月笑刀無情
TA貢獻(xiàn)1828條經(jīng)驗(yàn) 獲得超4個(gè)贊
您可以構(gòu)建水平df，然后轉(zhuǎn)置。
pd.DataFrame([list1, list2], index=['list1', 'list2']).T.fillna('')
list1 list2
0 new book revealing potentially embarrassing
1 library for topic modelling several international
2 daily newspaper
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