【发布时间】:2020-01-14 21:28:54
【问题描述】:
如何对数据框的每一行进行四舍五入?我试过这样看,但似乎找不到正确的解决方案 我有一些代码:
skrip, si3 = konten(skripsi2, 'proba.sav')
berita1['hasil_sentimen'] = pd.Series(skrip)
berita1['probability'] = pd.Series(si3)
print(berita1)
berita1.to_csv('tes3.csv')
该代码的输出是:
title ... probability
0 Oppo A9 2020 Mulai Bisa Dipesan, Harganya? ... [0.8453283032916837]
1 Soal Bukalapak PHK Karyawan, Merger Saja denga... ... [0.07600105760638853]
2 BJ Habibie Meninggal Dunia, Startup Unicorn In... ... [0.5804913651884153]
3 Ada PHK, Ini Jumlah Total Karyawan Bukalapak ... [0.04687216189109762]
如何对概率值进行四舍五入,所以,我希望概率的输出是:
85
8
58
5
【问题讨论】:
-
berita1['probability'] = berita1['probability'].round(2) * 100 -
@CodeDifferent 我收到了这个错误
TypeError: can't multiply sequence by non-int of type 'float'
标签: python pandas dictionary rounding