Good day,
I want to create an interactive plot with selection possibility to save a standalone HTML file, thus I do not want to use dash.
The goal is to display housing price trends with the possibility to make a selection for region and number of rooms. The problem is that once I change the selection, all plots are still active without correctly updating. Could someone help to solve this issue? I have made the plotting in my own language (Lithuanian), I translated the variable names in the code for convenience.
def compare_elements_with_single_value(all_list, value):
all_comparison = []
for elem in all_list:
comp = elem == value
all_comparison.append(comp)
return(all_comparison) #e.g. [False, False, ...., True]
df = df.sort_values(["Region_title", "Room number", "Year_quarter"])
fig = go.Figure()
region_list = df['Region_title'].unique()
room_number_list = df['Room number'].unique()
all_list = []
for region in region_list:
for room_number in room_number_list:
all_list.append(str(region) + " Room number " + str(room_number))
for region in region_list:
for room_number in room_number_list:
region_room_number = str(region) + " Room number " + str(room_number)
fig.add_trace(go.Scatter(
x = df[(df['Region_title'] == region)
& (df['Room number'] == room_number)]['Year_quarter'],
y = df[(df['Region_title'] == region)
& (df['Room number'] == room_number)]['price'],
text = "Average price",
hoverinfo = "x+y",
name = region_room_number,
mode ='lines+markers',
marker={'size': 10, 'opacity': 0.5, 'line': {'width': 0.5, 'color': 'white'
}}))
updatemenu= []
buttons=[]
for region in region_list:
for room_number in room_number_list:
region_room_number = str(region) + " Room number " + str(room_number)
buttons.append(dict(method='restyle',
label = str(region) + " Room number " + str(room_number),
args = [{'x':[df[(df['Region_title'] == region)
& (df['Room number'] == room_number)]['Metai_ketvirtis']]},
{'y':[df[(df['Region_title'] == region)
& (df['Room number'] == room_number)]['Price']]},
{'visible': compare_elements_with_single_value(all_list, region_room_number)}
]
))
updatemenu=[]
your_menu=dict()
updatemenu.append(your_menu)
updatemenu[0]['buttons']=buttons
updatemenu[0]['direction']='down'
updatemenu[0]['showactive']=True
fig.update_layout(updatemenus=updatemenu,
showlegend=True,
yaxis_title="EUR / m2")
fig.show()
pyo.plot(fig, filename='Output/Flat price.html')
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