a-pandas-ex-html-view 0.1

View/save any Pandas DataFrame/Series as HTML, works with MultiIndex as well

DataFrame / Series in your browser

#Based on pypi.org/project/any-iter-to-html-table/

from a_pandas_ex_html_view import pd_add_html_view

import pandas as pd

pd_add_html_view() #this adds to new methods to pandas

df = pd.read_csv("https://github.com/pandas-dev/pandas/raw/main/doc/data/titanic.csv")

df.ds_html_view() #for whole DataFrame

df.Name.ds_html_view() #for Series

For DataFrames with MultiIndex

If you create your MultiIndexed DataFrame using a-pandas-ex-plode-tool · PyPI

a_pandas_ex_html_view will format the DataFrame in the prettiest way possible :)

from a_pandas_ex_plode_tool import pd_add_explode_tools

pd_add_explode_tools()

data = {

    "glossary": {

        "title": "example glossary",

        "GlossDiv": {

            "title": "S",

            "GlossList": {

                "GlossEntry": {

                    "ID": "SGML",

                    "SortAs": "SGML",

                    "GlossTerm": "Standard Generalized Markup Language",

                    "Acronym": "SGML",

                    "Abbrev": "ISO 8879:1986",

                    "GlossDef": {

                        "para": "A meta-markup language, used to create markup languages such as DocBook.",

                        "GlossSeeAlso": ["GML", "XML"],

                    },

                    "GlossSee": "markup",

                }

            },

        },

    }

}

df = pd.Q_AnyNestedIterable_2df(data)

df.ds_html_view()   

#if you don't want to open it in browser, just save it to your HDD:

df.ds_html_view('f:\\testhtml.html')