Question

我使用CustomJS来过滤我的表，如以下代码所示。效果很好

combined_callback_code = """
var data = source.data;
var original_data = original_source.data;
var account = account_select_obj.value;
console.log("account: " + account);
for (var key in original_data) {
    data[key] = [];
    for (var i = 0; i < original_data['D01_03_ZF_TRANSACTIONS_TRANS_NUM_ST'].length; ++i) {
        if ((account === "ALL" || original_data['D01_03_ZF_TRANSACTIONS_TRANS_NUM_ST'][i] === account)) 
        {
            data[key].push(original_data[key][i]);
        }
    }
}
target_obj.change.emit();;
source.change.emit();
"""

df = collection("D01_04_RT_PHARMA_TRANS")

df1= collection("MAPPING_TABLE")    

# Put dataframe to bokeh data source defined 
data = dict(
        D01_03_ZF_TRANSACTIONS_TRANS_NUM_ST= df["D01_03_ZF_TRANSACTIONS_TRANS_NUM_ST"]
    )

source = ColumnDataSource(data)

original_source = ColumnDataSource(data)

account_list = ['ALL'] + df1["ZF_TRANSACTIONS_TRANS_NUM_ST"].unique().tolist()

account_select = Select(title="Account:", value=account_list[0], options=account_list)

def make_table_1():
# Generate table
     columns = [
        TableColumn(field="D01_03_ZF_TRANSACTIONS_TRANS_NUM_ST", title="CMI Pharma Account" ),

    ]
     data_table = DataTable(source=source, columns=columns, width=1000, height=300)




# now define the callback objects now that the filter widgets exist
     generic_callback = CustomJS(
           args=dict(source=source, 
              original_source=original_source, 
              account_select_obj=account_select,  
              target_obj=data_table),
           code=combined_callback_code
    )

# finally, connect the callbacks to the filter widgets
      account_select.js_on_change('value', generic_callback)    

      p = column(data_table, account_select)

      return p

但是我想将account_select与data_table分开，以便可以将其用于其他绘图（对于多绘图有1个过滤器）。

有没有办法做到这一点？我尝试了一些方法，但没有任何反应，因为出现错误：

模型必须仅由一个文档拥有

一个过滤器用于多图散景

0 个答案: