def make_bokeh_table(geosource, col_name: str = 'zip'):
# Make a table of the numerical values that we can sort by
dt_columns = [
TableColumn(field=col_name, title=col_name),
TableColumn(field=col_name + '_percent',
title='Percentage of users in ' + col_name),
TableColumn(field=col_name + '_counts',
title='Number of Users in ' + col_name)
]
data_table = DataTable(source=geosource, columns=dt_columns)
data_table.selectable = False
data_table.editable = False
data_table.scroll_to_selection = True
data_table.reorderable = True
data_table.sortable = True
return data_table
def make_parameter_table(p_table,
data,
headers,
table_width=None,
table_height=None):
if (data == None or headers == None):
print('Making default data')
data = dict(
col1=[i for i in range(20)],
col2=[i * i for i in range(20)],
)
headers = dict(col1='Title 1', col2='Title 2')
source = ColumnDataSource(data)
columns = []
for key in data:
if (key not in headers):
raise ValueError(f'Header dictionary does not contain: {key}')
columns = columns + [TableColumn(field=key, title=headers[key])]
if (p_table == None):
if (table_width == None or table_height == None):
p_table = DataTable(source=source,
columns=columns,
editable=False,
index_position=None)
else:
p_table = DataTable(source=source,
columns=columns,
width=table_width,
height=table_height,
editable=False,
index_position=None)
else:
p_table.source = source
p_table.columns = columns
p_table.editable = False
p_table.index_position = None
if (table_width is not None):
p_table.width = table_width
if (table_height is not None):
p_table.height = table_height
return p_table