我想使用兩個散景選擇小部件來過濾表格，請參閱下面的代碼結構。我定義了兩個小部件，userm 和 locations。首先，選擇帶有 userm 小部件的用戶（應該更改表格和“位置”小部件），其次，選擇帶有位置小部件的位置（應該再次更改表格）。我的代碼可以很好地根據用戶過濾表格，但不會根據位置選擇更新位置小部件和表格。我不確定是否可以在同一個回調函數中實現所有功能。有任何想法嗎？謝謝！#Import librariesfrom bokeh.io import output_notebook, showfrom bokeh.layouts import widgetboxfrom bokeh.models.widgets import Select, DataTable, TableColumnfrom bokeh.models.sources import ColumnDataSource, CDSViewfrom bokeh.models import CustomJS, Selectimport pandas as pdoutput_notebook()#Create the dataframedf = pd.DataFrame({'Index': ['9', '10', '11', '12', '13'], 'Size': ['250', '150', '283', '433', '183'], 'X': ['751', '673', '542', '762', '624'], 'Y': ['458', '316', '287', '303', '297'], 'User': ['u1', 'u1', 'u2', 'u2', 'u2'], 'Location': ['A', 'B', 'C', 'C', 'D'] })#Create widgetsuserm = Select(title = "Select user:", options=list(set(df['User'])), value=list(set(df['User']))[0])locations = Select(title="Select location:", options=list(set(df['Location'])), value=list(set(df['Location']))[0])#Create data sourcesource=ColumnDataSource(data=dict(User=df['User'], Location=df['Location']))filteredSource = ColumnDataSource(data=dict(User=[],Location=[]))#Create data tablecolumns = [TableColumn(field="User",title="User"), TableColumn(field="Location",title="Location",sortable=True)]data_table=DataTable(source=filteredSource,columns=columns, width=400 )data_table_unfiltered=DataTable(source=source,columns=columns, width=400 )callback = CustomJS(args=dict(source=source, filteredSource=filteredSource, data_table=data_table), code=""" var data = source.data; var f = cb_obj.value; var df2 = filteredSource.data; df2['User']=[] df2['Location']=[] locations=[]
1 回答
臨摹微笑
TA貢獻1982條經驗 獲得超2個贊
可以在小部件之間共享單個CustomJS回調，但您不能使用cb_obj。您必須顯式傳遞小部件。
callback = CustomJS(args=dict(source=source,
filteredSource=filteredSource,
userm=userm, locations=locations),
code="""
const data = source.data;
const userm_value = userm.value;
const locations_value = locations.value;
const df2 = filteredSource.data;
df2['User'] = [];
df2['Location'] = [];
for (let i = 0; i < data['User'].length; i++) {
if (data['User'][i] === userm_value && data['Location'][i] === locations_value) {
df2['User'].push(data['User'][i])
df2['Location'].push(data['Location'][i])
}
}
filteredSource.change.emit()
""")
userm.js_on_change('value', callback)
locations.js_on_change('value', callback)
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