Python巧妙地绘制了地图可视化，认证凭证没有提供错误。

Question

你好，我正试图通过pyplot获得一个地图可视化，但是没有提供error= PlotlyRequestError:身份验证凭据。我正试图想象伊斯兰教在世界上的遵守-这是我的代码数据框架已经在那里。

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")

我不明白的是，为什么我需要输入某种用户名和密码，我不想在任何地方登录。你能帮帮我吗谢谢..。

Answer 1

您想要发布到图表工作室的

• How to fix PlotlyRequestError?
• 或者使用
  1. go.Figure(fig)
  2. iplot(fig，filename="ıslam-adherence")

• 从kaggle获取数据，以便能够运行您的代码

数据来源

# 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"])
)

创建和显示绘图

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")

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