如何在阴谋的Python中从盒子中删除东西？

Question

此代码的哪一行：

# Take credit amount values into a list
young = df['Credit_amount'].loc[df['Age_Group'] == 'Young'].values.tolist()
young_adults = df['Credit_amount'].loc[df['Age_Group'] == 'Young Adults'].values.tolist()
senior = df['Credit_amount'].loc[df['Age_Group'] == 'Senior'].values.tolist()
elder_credit = df['Credit_amount'].loc[df['Age_Group'] == 'Elder'].values.tolist()

# Create the box plots by age category
young_credit = go.Box(
    y = young,
    name = "Young",
    jitter = 0.3,
    pointpos = -1.8,
    boxpoints = 'all',
    marker = dict(
        color = 'rgb(150, 198, 109)'),
    line = dict(
        color = 'rgb(111, 200, 37)')
)

young_adults_credit = go.Box(
    y = young_adults,
    name = "Young Adults",
    jitter = 0.3,
    pointpos = -1.8,
    boxpoints = 'all',
    marker = dict(
        color = 'rgb(124, 236, 212)'),
    line = dict(
        color = 'rgb(38, 214, 177)')
)

senior_credit = go.Box(
    y = senior,
    name = "Seniors",
    jitter = 0.3,
    pointpos = -1.8,
    boxpoints = 'all',
    marker = dict(
        color = 'rgb(241, 93, 93)'),
    line = dict(
        color = 'rgb(225, 44, 44)')
)

elder_credit = go.Box(
    y = elder_credit,
    name = "Elders",
    jitter = 0.3,
    pointpos = -1.8,
    boxpoints = 'all',
    marker = dict(
        color = 'rgb(180, 121, 72)'),
    line = dict(
        color = 'rgb(115, 77, 46)')
)

data = [young_credit, young_adults_credit, senior_credit, elder_credit]

layout = dict(
    title="Credit Amount by Age Group Segment", 
    xaxis = dict(title="Age Group"),
    yaxis= dict(title="Credit Amount")
)

fig = dict(data=data, layout=layout)
iplot(fig, filename="Box Plot")

关注下图中标记的片段，我想从图表中删除那些片段，以及要实现此目标必须删除的代码行。我将非常感谢所有明确的答案，因为我找不到代码行来删除此图块。非常感谢！

Answer 1

如果要完全删除点，则应删除每个go.Box中的参数：

jitter = 0.3,
pointpos = -1.8,
boxpoints = 'all'

Answer 2

来自plot.ly/python/box-plots/：使用points自变量，显示具有所有点（all），仅异常值（outliers，默认值）或不包含异常点（False）的基础数据点。

图1： boxpoints = False

图2： boxpoints = 'all'