def grids(data):
kline = Kline(data.symbol[0])
kline.add(
'',
data.index,
data.loc[:, ['open', 'close', 'low', 'high']].values,
mark_line=['max', 'min'],
mark_line_valuedim=['highest', 'lowest'],
is_datazoom_show=True,
datazoom_xaxis_index=[0, 1],
)
turnover = Bar()
turnover.add(
'',
data.index,
data['turnover'].values / pow(10, 9),
mark_line=['max', 'min'],
is_datazoom_show=True,
)
grid = Grid(page_title=data['symbol'][0], width=1800, height=900)
grid.add(kline, grid_bottom='40%')
grid.add(turnover, grid_top='65%')
grid.show_config()
return grid
],
})
#
# series = grid._option.get("series")
grid._option.get("tooltip")._config.update({"formatter": format})
# bar._option.get("tooltip")._config.update({"confine": True})
# map._option.get("tooltip")._config.update({"confine": True})
#
# series[0]['tooltip'] = bar._option.get("tooltip")._config
# series[1]['tooltip'] = map._option.get("tooltip")._config
# grid._option.pop("tooltip")
grid.render("./maps/" + 'days' + "/" + 'china' + '.html')
print(
"-----------------------------------------------------------------grid"
)
grid.show_config()
# for province in province_name:
# generate1(province, city_name, city_value, 'days', '单位(人天数)')
# province_name, province_value = Geo.cast(data.province_price_data)
# city_name, city_value = Geo.cast(data.city_price_data)
# generate('china', province_name, province_value, 'prices','单位(万元)')
# for province in province_name:
# generate(province, city_name, city_value, 'prices','单位(万元)')
