### DataFrame / Series in your browser
```python
#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](https://pypi.org/project/a-pandas-ex-plode-tool/)
a_pandas_ex_html_view will format the DataFrame in the prettiest way possible :)
```python
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')
```
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