gistfile1.txt

import pandas as pd
import plotly.graph_objects as go        
from dash import Dash, html, dcc

app = Dash(__name__)

surf = {'2020': [0, 0, 0, 0, 2009, 2068, 2047, 2215, 2011, 2161, 2014, 2089, 2197, 1936, 2093, 2097, 1980, 2008, 1970, 2137, 2089, 1901, 2103, 2190], '2021': [1737, 1449, 1914, 1874, 1982, 2017, 2240, 2147, 2122, 2051, 2128, 2057, 2055, 2118, 1954, 2064, 2058, 2181, 2143, 2155, 2168, 2112, 2080, 2162], '2022': [97, 128, 87, 1269, 1605, 1610, 1668, 1722, 1759, 1736, 1941, 1834, 1815, 1912, 0]}
x_ax = [['', 'Jan', '', 'Feb', '', 'Mar', '', 'Apr', '', 'May', '', 'Jun', '', 'Jul', '', 'Aug', '', 'Sep', '', 'Oct', '', 'Nov', '', 'Dec']]
years = ['2020', '2021', '2022']
year = 2025

p = pd.DataFrame.from_dict(surf, orient='index', columns=x_ax)
fig = go.Figure(data=[go.Surface(z=p.values, showscale=False)])
fig.update_layout(title=f'Year {year}', autosize=False, margin=dict(l=60, r=60, b=60, t=30, pad=10), width=650, height=650,
                  scene=dict(
                      xaxis=dict(tickmode='array', ticktext=list(p.columns), tickvals=list(range(0, 25)), title='Epis'),
                      yaxis=dict(tickmode='array', ticktext=years, tickvals=list(range(0, len(years))), title='Years'),
                      zaxis=dict(title='# of downloads')
                  ))
fig.update_yaxes(automargin=True)
fig.update_xaxes(automargin=True)
                            
app.layout = html.Div(
    children=[
        html.H1(year, style={'textAlign':'center', 'color':'#7FDB00'}),
        dcc.Graph(id='stats-graph', figure=fig)
    ]
)

app.run_server(debug=True)