使用散景小部件中的选项时出错（复选框和下拉列表）

Posted 2021-04-06

我有一个带有分类数据的数据框。

A1 = ["cat",'apple','red',1,2]
A2 = ['dog','grape','blue',3,4]
A3 = ['rat','grape','gray',5,6]
A4 = ['toad','kiwi','yellow',7,8]

df_MD = pd.DataFrame([A1,A2,A3,A4],columns= ["animal","fruit","color","length","weight"])


  animal  fruit   color  length  weight
0    cat  apple     red       1       2
1    dog  grape    blue       3       4
2    rat  grape    gray       5       6
3   toad   kiwi  yellow       7       8

我想使用bokeh serve最终创建交互式图。我实施了this suggestion on how to add listeners：

tgtCol1 = 'animal'
catList = list(np.unique(df_MD[tgtCol1]))


def updatexy(tgtCol1,catList,df_MD):
    '''creates x and y values based on whether the entry is found in catlist'''
    mybool = df_MD[tgtCol1]==catList[0]
    for cc in catList: 
        mybool = (mybool) | ( df_MD[tgtCol1]== cc)
    df_MD_mybool = df_MD[mybool].copy()
    x = df_MD_mybool['length'].copy()
    y = df_MD_mybool['weight'].copy()
    return(x,y)

x,y = updatexy(tgtCol1,catList,df_MD)


#create dropdown menu for column selection
menu = [x for x in zip(df_MD.columns,df_MD.columns)]
dropdown = Dropdown(label="select column", button_type="success", menu=menu)
def function_to_call(attr, old, new):
    print(dropdown.value)
dropdown.on_change('value', function_to_call)
dropdown.on_click(function_to_call)


#create buttons for category selection
catList = np.unique(df_MD[tgtCol1].dropna())
checkbox = CheckboxGroup(labels=catList)
def function_to_call2(attr, old, new):
    print(checkbox.value)
checkbox.on_change('value', function_to_call2)
checkbox.on_click(function_to_call2)



#slap everything together
layout = column(dropdown,checkbox)
#add it to the layout
curdoc().add_root(layout)
curdoc().title = "Selection Histogram"

这可以创建初始菜单集。但是当我尝试更改列或选择不同的类别时，我收到错误：

TypeError("function_to_call() missing 2 required positional arguments: 'old' and 'new'",)

所以我甚至无法调用“监听器”功能。

一旦我调用了监听器函数，如何更新复选框值列表，以及x和y？

我可以在function_to_call1和function_to_call2的范围内更新它们，但x，y，tgtCol1和catList的全球值不变！

答案

我无法找到关于监听器如何工作的任何指南或文档，但经过一些实验后我发现监听器的结构是错误的。它应该如下

myWdiget = <some widget>(<arguments>)
def function_to_call(d):
    <actions, where d is a string or object corresponding to the widget state>
myWdiget.on_click(function_to_call) #add a event listener to myWdiget

所以，我的代码原来是

dropdown = Dropdown(label="select column", button_type="success", menu=menu)
def function_to_call(d): #only one argument, the selection from the dropdown
    catList =  list(np.unique(df_MD[d].dropna()))
    checkbox.labels=catList
    checkbox.active = [] #makes it so nothing is checked
dropdown.on_click(function_to_call)

#create buttons for category selection
checkbox = CheckboxGroup(labels=catList)
def function_to_call2(cb):
    tempindex = [x for x in cb]  #cb is some bokeh object, we convert it to a list
    #tgtCol1 is a global variable referring to the currently active column
    #not an ideal solution
    catList  =  np.unique(df_MD[tgtCol1].dropna())
    if len(tempindex) != 0:  catList = list(catList[tempindex])
    x,y = updatexy(tgtCol1,catList,df_MD) #gets new data based on desired column, category set, and dataframe
    s.data = dict(x = x,y = y) #'source' object to update a plot I made, unrelated to this answer, so I'm not showing it
checkbox.on_click(function_to_call2)