如果在某处存在,我道歉 - 我找不到合适的关键字。
我有一个非常简单的com.sun.mail.smtp.SMTPSendFailedException: 530 5.7.57 SMTP; Client was not authenticated to send anonymous mail during MAIL FROM [DB6PR0802CA0037.eurprd08.prod.outlook.com]
看起来像这样
pd.DataFrame()
这样
articles = pd.DataFrame(
[(0, "Once upon.."),
(1, "It happened.."),
(2, "The story.."),
(3, "So many.."),
(4, "How long.."),
(5, "It's been..")],
columns=["article_id", "article"])
我只想将该列拆分为3列(无论顺序如何,但让我们说保持顺序),如下所示:
>>> articles
article_id article
0 0 Once upon..
1 1 It happened..
2 2 The story..
3 3 So many..
4 4 How long..
5 5 It's been..
现在我有一些像这样的丑陋的东西(有效):
article1_id article1 article2_id article2 article3_id article3
0 0 Once upon.. 1 It happened.. 2 The story..
1 3 So many.. 4 How long.. 5 It's been..
但我确信tmp1 = articles.loc[::3].reset_index(); del tmp1['index'];
tmp1.columns = ['article1_id', 'article1']
tmp2 = articles.loc[1::3].reset_index(); del tmp2['index'];
tmp2.columns = ['article2_id', 'article2']
tmp3 = articles.loc[2::3].reset_index(); del tmp3['index'];
tmp3.columns = ['article3_id', 'article3']
pd.concat([tmp1, tmp2, tmp3], axis=1, ignore_index=False).head()
提供更清洁的东西......
答案 0 :(得分:3)
我认为我们正在寻找array.reshape()
import pandas as pd
df = pd.DataFrame(
[(0, "Once upon.."),
(1, "It happened.."),
(2, "The story.."),
(3, "So many.."),
(4, "How long.."),
(5, "It's been.."),
(6, "It's been.."),
(7, "It's been..")],
columns=["article_id", "article"])
# New cols (let them define the length of reshape)
cols = ['article1_id','article1','article2_id','article2','article3_id','article3']
# If size of dataframe is not divisable by len(cols) add rows
# Can be removed if certain of length.
while df.size % len(cols) != 0:
df.loc[len(df)] = ('','')
df = pd.DataFrame(df.values.reshape(df.size//len(cols),len(cols)), columns=cols)
print(df)
返回:
article1_id article1 article2_id article2 article3_id article3
0 0 Once upon.. 1 It happened.. 2 The story..
1 3 So many.. 4 How long.. 5 It's been..
2 6 It's been.. 7 It's been..
.to_csv():
,article1_id,article1,article2_id,article2,article3_id,article3
0,0,Once upon..,1,It happened..,2,The story..
1,3,So many..,4,How long..,5,It's been..
2,6,It's been..,7,It's been..,,