标签：python pandas datatable bokeh
使用on_change回调,我可以在Bokeh中获取DataTable中选择的数字行索引.
是否有可能：
a)获取列索引
b)获取索引的值(列和行标题)
示例代码：
from bokeh.io import curdoc
from bokeh.layouts import row, column
import pandas as pd
from bokeh.models import ColumnDataSource, ColorBar, DataTable, DateFormatter, TableColumn, HoverTool, Spacer, DatetimeTickFormatter
'''
Pandas
'''
df = pd.DataFrame(data = {'Apples': [5,10], 'Bananas': [16,15], 'Oranges': [6,4]})
df.rename(index={0:'A',1:'B'}, inplace=True)
'''
BOKEH
'''
sourceTableSummary = ColumnDataSource(df)
Columns = [TableColumn(field=colIndex, title=colIndex) for colIndex in df.columns]
data_table = DataTable(columns=Columns, source=sourceTableSummary, index_position = 0, width = 1900, height = 200, fit_columns=False)
'''
Funcs
'''
def return_value(attr, old, new):
selectionRowIndex=sourceTableSummary.selected.indices[0]
print("Selected Row Index ", str(selectionRowIndex))
selectionValue=sourceTableSummary.data['Apples'][selectionRowIndex]
print("Selected value for Apples ", str(selectionValue))
# selectionColumnIndex?
# selectionRowHeader?
# selectionColumnHeader?
sourceTableSummary.on_change('selected', return_value)
curdoc().add_root(column(children=[data_table]))
这给出了以下可以返回行的内容,以及选择中的值.如果我总是想要返回一个列,这是理想的.然而,选择UI(虚线)似乎表明特定列是已知的,而不仅仅是行.
如果无法获得所选列,我可以使用行索引和单元格值查找吗？
解决方法:
以下代码使用JS回调来显示行索引和列索引以及单元格内容.第二个Python回调是重置索引的技巧,以便可以检测到同一行上的单击(使用Bokeh v1.0.4进行测试).运行散景服务 – 显示app.py
from random import randint
from datetime import date
from bokeh.models import ColumnDataSource, TableColumn, DateFormatter, DataTable, CustomJS
from bokeh.layouts import column
from bokeh.models.widgets import TextInput
from bokeh.plotting import curdoc
source = ColumnDataSource(dict(dates = [date(2014, 3, i + 1) for i in range(10)], downloads = [randint(0, 100) for i in range(10)]))
columns = [TableColumn(field = "dates", title = "Date", formatter = DateFormatter()), TableColumn(field = "downloads", title = "Downloads")]
data_table = DataTable(source = source, columns = columns, width = 400, height = 280, editable = True, reorderable = False)
text_row = TextInput(value = None, title = "Row index:", width = 420)
text_column = TextInput(value = None, title = "Column Index:", width = 420)
text_date = TextInput(value = None, title = "Date:", width = 420)
text_downloads = TextInput(value = None, title = "Downloads:", width = 420)
test_cell = TextInput(value = None, title = "Cell Contents:", width = 420)
source_code = """
var grid = document.getElementsByClassName('grid-canvas')[0].children;
var row, column = '';
for (var i = 0,max = grid.length; i < max; i++){
if (grid[i].outerHTML.includes('active')){
row = i;
for (var j = 0, jmax = grid[i].children.length; j < jmax; j++)
if(grid[i].children[j].outerHTML.includes('active'))
{ column = j }
}
}
text_row.value = String(row);
text_column.value = String(column);
text_date.value = String(new Date(source.data['dates'][row]));
text_downloads.value = String(source.data['downloads'][row]);
test_cell.value = column == 1 ? text_date.value : text_downloads.value; """
def py_callback(attr, old, new):
source.selected.update(indices = [])
source.selected.on_change('indices', py_callback)
callback = CustomJS(args = dict(source = source, text_row = text_row, text_column = text_column, text_date = text_date, text_downloads = text_downloads, test_cell = test_cell), code = source_code)
source.selected.js_on_change('indices', callback)
curdoc().add_root(column(data_table, text_row, text_column, text_date, text_downloads, test_cell))
结果：
标签：python,pandas,datatable,bokeh 来源： https://codeday.me/bug/20191003/1847652.html
本站声明： 1. iCode9 技术分享网（下文简称本站）提供的所有内容，仅供技术学习、探讨和分享； 2. 关于本站的所有留言、评论、转载及引用，纯属内容发起人的个人观点，与本站观点和立场无关； 3. 关于本站的所有言论和文字，纯属内容发起人的个人观点，与本站观点和立场无关； 4. 本站文章均是网友提供，不完全保证技术分享内容的完整性、准确性、时效性、风险性和版权归属；如您发现该文章侵犯了您的权益，可联系我们第一时间进行删除； 5. 本站为非盈利性的个人网站，所有内容不会用来进行牟利，也不会利用任何形式的广告来间接获益，纯粹是为了广大技术爱好者提供技术内容和技术思想的分享性交流网站。