Mapbox plotting wrong colors and negative scale for array o zeros (int64)

Mapbox plotting wrong color scale (negative), even the data have non negative values. I'm not sure if the colorscale code is changing something. I spected to see the map all white.

plotly version: 4.14.3

The map results in:

The data type is int64 and is a zeros column of a dataframe

The piece of code is:

import plotly.express as px
import plotly.graph_objects as go
import json
import pandas   as     pd

path = r'C:\Users\Leandro\Documents\MEGAsync\Python\Dash\GYRO\Testes dados'

df_mapa2 = pd.read_csv(path + '/dados_completos_gyro.csv')
print(df_mapa2.date.max())
print(df_mapa2.dtypes)

token = " :) "

def map2_figure(estado = 'PR', coluna = 'dailyCases'):

    # Requisitando o geojson
    url = path + f'/geojson/{estado}.json'
    with open(url) as response:
        geojson = json.load(response)

    # dados
    df = df_mapa2.query(f'state == "{estado}"') 
    df = df.query('level == "city"')
    df = df.query(f'date == "{df.date.max()}"')
    df.to_csv(path + '/map2_dailyCases.csv')
    print(df.date.max())
    print(df)

    # para centralizar os estados
    coordenadas_estados = {
        "AC":{"lat":-8.794491, "lon":-70.5860},
        "AL":{"lat":-9.6244,   "lon":-36.6614},
        "AP":{"lat":1.475,     "lon":-51.9430},
        "AM":{"lat":-4.045,    "lon":-64.1380},
        "BA":{"lat":-12.935,   "lon":-41.1440},
        "CE":{"lat":-5.203,    "lon":-39.4850},
        "DF":{"lat":-15.7932,  "lon":-47.8187},
        "ES":{"lat":-19.7163,  "lon":-40.7538},
        "GO":{"lat":-16.070,   "lon":-49.5210},
        "MA":{"lat":-5.217,    "lon":-44.7470},
        "MT":{"lat":-13.162,   "lon":-55.7450},
        "MS":{"lat":-20.569,   "lon":-54.6840},
        "MG":{"lat":-19.039,   "lon":-45.2310},
        "PA":{"lat":-5.455,    "lon":-52.4320},
        "PB":{"lat":-8.4384,   "lon":-38.1528},
        "PR":{"lat":-24.74509, "lon":-51.6652},
        "PE":{"lat":-8.4357,   "lon":-38.2709},
        "PI":{"lat":-7.327,    "lon":-42.9350},
        "RJ":{"lat":-22.159,   "lon":-42.9070},
        "RN":{"lat":-5.8824,   "lon":-36.7245},
        "RS":{"lat":-29.78970, "lon":-53.6836},
        "RO":{"lat":-10.928,   "lon":-63.1440},
        "RR":{"lat":1.870,     "lon":-61.5010},
        "SC":{"lat":-26.77080, "lon":-51.0441},
        "SP":{"lat":-22.16664, "lon":-49.0804},
        "SE":{"lat":-10.5594,  "lon":-37.3343},
        "TO":{"lat":-9.877,    "lon":-48.1420}
    }
    # gerando o mapa
    fig = px.choropleth_mapbox(
        df,
        geojson                = geojson,
        color                  = coluna,
        color_continuous_scale = "BuGn", # https://plotly.com/python/builtin-colorscales/
        locations              = "ibgeCode", # colocar hover (quando passa o mouse em cima do ponto de dado) https://plotly.com/python/text-and-annotations/
        featureidkey           = "properties.id",
        center                 = coordenadas_estados[estado],
        mapbox_style           = "outdoors",
        zoom                   = 6,
        hover_name             = 'city', # importante,
        labels                 = {
            'state'                  : 'Estado',
            'ibgeCode'               : 'Código IBGE',
            'dailyCases'             : 'Casos<br>diários</br>',
            'dailyDeaths'            : 'Óbitos<br>diários</br>',
            'cumulatedCasesPer100k'  : 'Casos<br>acumulados</br>por 100k hab.',
            'cumulatedCases'         : 'Casos<br>acumulados</br>',
            'cumulatedDeaths'        : 'Óbitos<br>acumulados</br>',
            'cumulatedDeathsPer100k' : 'Óbitos<br>acumulados</br>por 100k hab.'
        },
    )
    fig.update_layout(
        margin             = {"r":0, "t":0, "l":0, "b":0},
        mapbox_accesstoken = token,
        paper_bgcolor      ='rgba(0,0,0,0)', # https://stackoverflow.com/questions/29968152/python-setting-background-color-to-transparent-in-plotly-plots
        coloraxis = dict(#https://plotly.com/python/reference/#heatmap-colorbar-tickfont
            colorbar = dict(
                thickness = 15,
                tickfont = dict(
                    size = 10
                )
            ),
            colorscale= [
                [0,        '#ffffff'], #0
                [1./50000, '#d0e2d0'], #10
                [1./5000,  '#a2c5a0'], #100
                [1./500,   '#73a871'], #1000
                [1./50,    '#507e4e'], #10000
                [1.,       '#324f30'], #100000
            ],
        ),
    )
    return fig

map2_figure().show()

plotly / plotly.py

Mapbox plotting wrong colors and negative scale for array o zeros (int64) #3115