将总列的百分比添加到Pandasivot_table [英] Add percent of total column to Pandas pivot_table

问题描述

我似乎无法弄清楚如何将每个date_submitted组的总列的百分比添加到下面的pandas数据透视表中:

I can't seem to figure out how to add a % of total column for each date_submitted group to the below pandas pivot table:

In [177]: pass_rate_pivot

date_submitted  audit_status
04-11-2014      audited         140
                is_adserver       7
                rejected         75
                unauditable     257
04-18-2014      audited         177
                is_adserver      10
                pending          44
                rejected         30
                unauditable     226
04-25-2014      audited          97
                is_adserver       5
                pending          33
                rejected          9
                unauditable     355
Name: site_domain, dtype: int64

In [177]: pass_rate_pivot.to_dict()


Out[177]:
{('04-11-2014', 'audited'): 140,
 ('04-11-2014', 'is_adserver'): 7,
 ('04-11-2014', 'rejected'): 75,
 ('04-11-2014', 'unauditable'): 257,
 ('04-18-2014', 'audited'): 177,
 ('04-18-2014', 'is_adserver'): 10,
 ('04-18-2014', 'pending'): 44,
 ('04-18-2014', 'rejected'): 30,
 ('04-18-2014', 'unauditable'): 226,
 ('04-25-2014', 'audited'): 97,
 ('04-25-2014', 'is_adserver'): 5,
 ('04-25-2014', 'pending'): 33,
 ('04-25-2014', 'rejected'): 9,
 ('04-25-2014', 'unauditable'): 355}

推荐答案

这是您想要的吗? (对于将元素除以该组中所有元素之和的每个组):

Is this what you want? (for each group dividing the element with the sum of all elements in that group):

In [62]: pass_rate_pivot.groupby(level=0).transform(lambda x: x/x.sum())
Out[62]: 
04-11-2014  audited        0.292276
            is_adserver    0.014614
            rejected       0.156576
            unauditable    0.536534
04-18-2014  audited        0.363450
            is_adserver    0.020534
            pending        0.090349
            rejected       0.061602
            unauditable    0.464066
04-25-2014  audited        0.194389
            is_adserver    0.010020
            pending        0.066132
            rejected       0.018036
            unauditable    0.711423
dtype: float64

如果要将其添加为列，实际上可以按照@ exp1orer的建议将concat两个系列都添加到一个数据框中:

If you want to add this as a column, you can indeed concat both serieses to one dataframe as suggested by @exp1orer:

pd.concat([pass_rate_pivot,pass_rate_pivot_pct], axis=1)

如果pass_rate_pivot已经是一个数据框，则只需分配一个新列，例如pass_rate_pivot['pct'] = pass_rate_pivot['original column'].groupby(...

If pass_rate_pivot would already be a dataframe, you could just assign a new column like pass_rate_pivot['pct'] = pass_rate_pivot['original column'].groupby(...

这篇关于将总列的百分比添加到Pandasivot_table的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！