我寫了一個(gè)（新手）python 函數(shù)（如下）來(lái)繪制一個(gè)按主要維度和可能的次要維度劃分的條形圖。例如，下圖顯示了每種性別中獲得特定教育水平的人數(shù)百分比。問(wèn)題：如何在每個(gè)條形上疊加該子組的家庭規(guī)模中位數(shù)，例如在大學(xué)/女性條形上放置一個(gè)表示值“3”的點(diǎn)。我見(jiàn)過(guò)的例子都沒(méi)有準(zhǔn)確地將點(diǎn)覆蓋在正確的欄上。我對(duì)此非常陌生，所以非常感謝您的幫助！df = pd.DataFrame({'Student'       : ['Alice', 'Bob', 'Chris',  'Dave',    'Edna',    'Frank'],                    'Education'     : ['HS',    'HS',  'HS',     'College', 'College', 'HS'   ],                   'Household Size': [4,        4,     3,        3,         3,         6     ],                   'Gender'        : ['F',     'M',   'M',      'M',       'F',       'M'    ]});def MakePercentageFrequencyTable(dataFrame, primaryDimension, secondaryDimension=None, extraAggregatedField=None):    lod = dataFrame.groupby([secondaryDimension]) if secondaryDimension is not None else dataFrame    primaryDimensionPercent = lod[primaryDimension].value_counts(normalize=True) \                         .rename('percentage') \                         .mul(100) \                         .reset_index(drop=False);    if secondaryDimension is not None:        primaryDimensionPercent = primaryDimensionPercent.sort_values(secondaryDimension)        g = sns.catplot(x="percentage", y=secondaryDimension, hue=primaryDimension, kind='bar', data=primaryDimensionPercent)    else:        sns.catplot(x="percentage", y='index', kind='bar', data=primaryDimensionPercent)        MakePercentageFrequencyTable(dataFrame=df,primaryDimension='Education', secondaryDimension='Gender')# Question: I want to send in extraAggregatedField='Household Size' when I call the function such that # it creates a secondary 'Household Size' axis at the top of the figure# and aggregates/integrates the 'Household Size' column such that the following points are plotted# against the secondary axis and positioned over the given bars:## Female/College => 3# Female/High School => 4# Male/College => 3# Male/High School => 4到目前為止我所取得的成就的圖片