Question

初学者/新手寻求帮助：

我正在尝试弄清楚如何在pd.pivot_table上进行迭代，因此我可以为级别= 0（数据透视表具有多个索引）的每个值创建散景折线图。

从整体上看数据时，一切都很好，但是现在我需要为每个“团队拥有”创建一个图表。

我已经更新了数据透视表，使其包含“拥有者分组”。当我查看df时，数据采用我期望的格式。当我将df传递给SLA_Chart函数时，它炸毁了，

def PrepareDataSLAChart(df):
    # Change Datatypes 
    df['Date'] = pd.to_datetime(df['Date'])

    df = df.drop(['CreatedDate','Incident_ID'], axis='columns')

    df['Sum']df.groupby(['Owned_By_Team',pd.Grouper(key='Date',freq='M'),
    'Incident_Type'])['SLA_Resolution_Good'].transform(sum) 


    df['Count']df.groupby(['Owned_By_Team',pd.Grouper(key='Date',freq='M')
    ,'Incident_Type'])['Sum'].transform('count')

    df['Percent_of_SLA'] = round((df["Sum"] / df["Count"] * 100),2)

    # No longer need SLA Field
    df = df.drop(['SLA_Resolution_Good','Count','Sum'], axis='columns')
    df.index = df['Date']
    df['Date'] = pd.to_datetime(df['Date']) - MonthBegin(1)

    df = pd.pivot_table(df,index=['Owned_By_Team', 
    (pd.Grouper(key='Date',freq='M'))],columns='Incident_Type',
    values='Percent_of_SLA')

    return df

def SLA_Chart(df):
    output_file("multiline_plot.html")
    source = ColumnDataSource(df)
    TOOLS = 'crosshair,save,pan,box_zoom,reset,wheel_zoom'
    p = figure(
       plot_width  = 1600,
       plot_height = 800,
       y_axis_type = "linear",
       x_axis_type = 'datetime', tools = TOOLS
       )

    # configure visual properties on a plot's title attribute
    p.title.text = 'Team Patriots'
    p.title.align = "center"
    p.title.text_color = "black"
    p.title.text_font_size = "25px"

    p.line('Date','Incident',source=source,
       legend='Incidents',
       line_color="blue",
       line_width = 3,
       line_cap = 'round')

    p.circle('Date','Incident',source=source,
        line_color='blue',
        line_width = 3)

    p.line("Date", "Service Request",source=source,
       legend="Service Requests",
       line_color="red",
       line_width = 3,
       line_cap = 'round')

    p.circle('Date','Service Request',source=source,
        line_color='red',
        line_width = 3)

    p.legend.location = "top_left"

    p.xaxis.axis_label = 'Date'
    p.yaxis.axis_label = '% Met'

    # open a browser
    return (show(p))

如何将我的SLA_Chart代码调整为a）接受df和 b）遍历df为每个团队拥有的人生成图表？

遍历熊猫数据透视表以为Level = 0中的每个值生成Bokeh折线图

0 个答案: