Hi, all, I have a simple structured dataset, just like:
order_list date QTY GPM city state stores
SMDBJO18924721 2019/1/1 153 0.0624 Torrance California Torrance_store_1
SMDBJO18676825 2019/1/1 7 0.2938 Aurora Colorado Aurora_store_3
SMDBJO18302956 2019/1/1 255 0.7366 Pembroke Pines Florida Pembroke Pines_store_4
SMDBJO18467792 2019/1/1 59 0.1677 Lakewood Colorado Lakewood_store_4
SMDBJO18985989 2019/1/1 324 0.248 Louisville Kentucky Louisville_store_1
SMDBJO18229068 2019/1/1 214 0.584 Cedar Rapids Iowa Cedar Rapids_store_1
SMDBJO18973145 2019/1/1 322 0.9469 Lubbock Texas Lubbock_store_1
SMDBJO18946982 2019/1/1 189 0.4763 Sioux Falls South Dakota Sioux Falls_store_4
SMDBJO18836305 2019/1/1 75 0.2101 Costa Mesa California Costa Mesa_store_1
SMDBJO18333923 2019/1/1 226 0.5179 Lafayette Louisiana Lafayette_store_4
SMDBJO18644837 2019/1/1 186 0.5382 Carrollton Texas Carrollton_store_4
...(43791 rows)
I can get correct output by using plotly.Express in Dash:
def sunburst_trace():
data_pivot_select = pd.pivot_table(df_all.set_index('date')[timeCondition], index=['state','city','stores'],values=['GPM'],aggfunc=[sum]).reset_index()
fig = px.sunburst(data_pivot_select,path=['state','city','stores'], values=['GMP'])
return fig
but when I using plotly.graph_objs in Dash as below, I got Blank Output:
def sunburst_trace():
data_pivot_select = pd.pivot_table(df_all.set_index('date')[timeCondition], index=['state','city','stores'],values=['GPM'],aggfunc=[sum]).reset_index()
trace=[go.Sunburst(
ids=data_pivot_select.stores,
labels=data_pivot_select.city,
parents=data_pivot_select.state,
values=data_pivot_select.GPM,
maxdepth=3,
)]
return dict(data=trace, layout=layout)
Thanks for the help, anything that can guide me in the right direction would be much appreciated.