Python plotly choropleth map visualization , authentication credentials were not provided error

luthierz Published at Dev

luthierz

Hello I am trying to get a map visualization via pyplot but there is an error= PlotlyRequestError: Authentication credentials were not provided. I am trying to visualize Islam-adherence in the world this is my code data frame already there

from chart_studio import plotly as py
import plotly.tools as tls
data = [dict(type='choropleth',autocolorscale=False,locations=df['name'],z=df['islam'],locationmode="ISO-3",text="test",colorbar= dict(title="heyyo"))]
layout= dict(title="Islam adherence in the world ")
fig= dict(data=data, layout=layout)
py.iplot(fig,filename="ıslam-adherence")
fig= dict(data=data, layout=layout)
py.iplot(fig,filename="ıslam-adherence")

The thing that I don't understand is why I need to input some kind of username and password I am not trying to log in anywhere. Could you please help me thank you ...

Rob Raymond

How to fix PlotlyRequestError? you are trying to publish onto chart studio
either use
1. go.Figure(fig)
2. iplot(fig,filename="ıslam-adherence")
have sourced data from kaggle to be able to run your code

data sourcing

# https://www.kaggle.com/arthurtok/global-religion-1945-2010-plotly-pandas-visuals

import kaggle.cli
import sys, math
import pandas as pd
from pathlib import Path
from zipfile import ZipFile
import plotly.express as px

# download data set
# https://www.kaggle.com/umichigan/world-religions
sys.argv = [sys.argv[0]] + "datasets download umichigan/world-religions".split(" ")
kaggle.cli.main()

zfile = ZipFile("world-religions.zip")
print([f.filename for f in zfile.infolist()])

dfs = {f.filename: pd.read_csv(zfile.open(f)) for f in zfile.infolist()}

df = (
    dfs["national.csv"]
    .sort_values(["code", "year"])
    .groupby("code", as_index=False)
    .last()
    .assign(islam=lambda d: d["islam_percent"], name=lambda d: d["code"])
)

create and display plot

from chart_studio import plotly as py
import plotly.graph_objects as go
import plotly.tools as tls

data = [
    dict(
        type="choropleth",
        autocolorscale=False,
        locations=df["name"],
        z=df["islam"],
        locationmode="ISO-3",
        text=df["year"],
        colorbar=dict(title="heyyo"),
    )
]
layout = dict(title="Islam adherence in the world ")

from plotly.offline import init_notebook_mode, iplot
init_notebook_mode()

fig = dict(data=data, layout=layout)
iplot(fig,filename="ıslam-adherence")