熊猫布尔值枢纽在多索引数据框上

时间:2020-04-20 10:57:46

标签: python pandas

嗨,我在根据值列旋转表时遇到问题。

假设我们有一个多索引数据框import re for item in listA: if re.search(r"\b{}\b".format(item), sentence.lower().strip()): print('success') else: print('Not Present')

其索引为gradeCountryDate和列Group

Status

我想堆叠 Status Country Date Group US 2019-12-31 Group A Absent Group B Not Pass Group C Absent 2020-01-02 Group A Pass Group B Pass Group C Pass ... ... ... ... ID 2020-04-14 Group A Pass Group B Pass Group C Pass 2020-04-15 Group A Pass Group B Pass Group C Pass group列,并根据Status列创建清单。

因此,最后,我们得到了一个新数据框Status,其中每个列checklist_grade的列AbsentNot PassPass和值{{1} }在相应的group值列中。

为便于理解我们想要的插图,

v

我正在尝试拆开status数据框,但是它只会分解直到 Status Group A Group B Group C Country Date Absent Not Pass Pass Absent Not Pass Pass Absent Not Pass Pass US 2019-12-31 v v v 2020-01-02 v v v ... ... ... ... ... ... ... ... ... ... ... ID 2020-04-14 v v v 2020-04-15 v v v

grade

1 个答案:

答案 0 :(得分:0)

创建新列,将<?php return [ "fixtures" => [ [ "cats" => [ [ 'id' => 1, "title" => 'qwer', ], [ 'id' => 2, "title" => 'asdf', ] ] ], "dogs" => [ [ 'id' => 1, "title" => 'qwer', ], ], "pigs" => [ [ 'id' => 1, "title" => 'qwer', ], ], ] ] 转换为Status并通过DataFrame.unstack进行重塑:

MultiIndex

在必要时最后将df = (df.assign(New='v') .set_index('Status', append=True) .unstack([2,3]) .rename(columns={'New':'Status'})) print (df) Status Group Group A Group B Group C Group A Group B Group C Status Absent Not Pass Absent Pass Pass Pass Country Date ID 2020-04-14 NaN NaN NaN v v v 2020-04-15 NaN NaN NaN v v v US 2019-12-31 v v v NaN NaN NaN 2020-01-02 NaN NaN NaN v v v 中的所有组合级别加DataFrame.reindexMultiIndex.from_product

MultiIndex