将元组附加到 Pandas DataFrame
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Appending Tuples to Pandas DataFrame
提问by LonelySoul
I am trying to join (vertically) some of the tuples, better to say I am inserting these tuples in the dataframe. But unable to do so till now. Problem arises since I am trying to add them horizentally and not vertically.
我试图加入（垂直）一些元组，最好说我将这些元组插入到数据框中。但是到现在都做不到。问题出现了，因为我试图水平而不是垂直添加它们。
data_frame = pandas.DataFrame(columns=("A","B","C","D"))
str1 = "Doodles are the logo-incorporating works of art that Google regularly features on its homepage. They began in 1998 with a stick figure by Google co-founders Larry Page and Sergey Brin -- to indicate they were attending the Burning Man festival. Since then the doodles have become works of art -- some of them high-tech and complex -- created by a team of doodlers. Stay tuned here for more of this year's doodles"
aa = str1.split()
bb = zip(aa[0:4])
data_frame.append(bb,ignore_index=True,verify_integrity=False)
Is it possible or do I have to iterate over each word in tuple to use insert
是否有可能或者我是否必须遍历元组中的每个单词才能使用插入
采纳答案by Jeff
You could do this
你可以这样做
In [8]: index=list('ABCD')
In [9]: df = pd.DataFrame(columns=index)
In [11]: df.append(Series(aa[0:4],index=index),ignore_index=True)
Out[11]:
A B C D
0 Doodles are the logo-incorporating
alternatively if you have many of these rows that you are going to append, just
create a list, then DataFame(list_of_series)at the end
或者，如果您有许多要追加的行，只需创建一个列表，然后DataFame(list_of_series)在最后
In [13]: DataFrame([ aa[0:4], aa[5:8] ],columns=list('ABCD'))
Out[13]:
A B C D
0 Doodles are the logo-incorporating
1 of art that None
