html2dash 0.2.4

Convert an HTML layout to a plotly dash layout

html2dash

Write your dash layout in html/xml form.

Why does this package exist?

Dash is a great framework for building web apps using only python (no html/css/ javascript). If you have used dash long enough, you must have noticed some of the following.

• For larger layouts, the python code becomes very long and hard to read.
• Sometimes I get the html form of a class (like pandas dataframe), but I cannot easily display that in dash.
• Use html from markdown parsers
• Cannot copy paste html code from examples on the web.
• Cannot use tools like emmet to generate html code.

html2dash solves these problems by allowing you to write your dash layout in html/xml form. It converts the html/xml code to equivalent dash layout code.

Installation

pip install html2dash

Examples

Here is a simple example:

from dash import Dash
from html2dash import html2dash

app = Dash(__name__)

layout = """
<div>
    <h1>Hello World</h1>
    <p>This is a paragraph</p>
    <div>
        <h2>Subheading</h2>
        <p>Another paragraph</p>
    </div>
</div>
"""

app.layout = html2dash(layout)

You can define attributes like id, class, style etc. These will be converted to equivalent dash attributes. For example:

layout = """
<div id="my-div" class="my-class" style="color: red;">
    <h1>Hello World</h1>
    <p>This is a paragraph</p>
    <div>
        <h2>Subheading</h2>
        <p>Another paragraph</p>
    </div>
</div>
"""

This is equivalent to:

layout = html.Div(
    id="my-div",
    className="my-class",
    style={"color": "red"},
    children=[
        html.H1("Hello World"),
        html.P("This is a paragraph"),
        html.Div(
            children=[
                html.H2("Subheading"),
                html.P("Another paragraph"),
            ]
        )
    ]
)

You can use any html tag that appears in dash.html module. If html2dash does not find the tag in dash.html, it will search in the dash.dcc module.

from html2dash import html2dash

layout = html2dash("""
<div>
    <h1>Hello World</h1>
    <p>This is a paragraph</p>
    <Input id="my-input" value="Hello World" />
</div>
""")

Here, Input is not found in dash.html module. So, it will search in dash.dcc module and find dcc.Input and convert it to dcc.Input(id="my-input", value="Hello World").

The order in which html2dash searches for tags is:

1. dash.html
2. dash.dcc

You can add additional component libraries to the module list as follows.

from html2dash import html2dash, settings
import dash_mantine_components as dmc

# settings["modules"] is a list of modules to search for tags.
# Default value is [html, dcc]
settings["modules"].append(dmc)

layout = html2dash("""
<div>
    <h1>Hello World</h1>
    <p>This is a paragraph</p>
    <div>
        <Badge>Default</Badge>
        <Badge variant="outline">Outline</Badge>
    </div>
</div>
""")

You can also map html tags to dash components. For example, if you dont want to use <icon> tag, you can map it to DashIconify as follows.

from html2dash import html2dash, settings
from dash_iconify import DashIconify

settings["element-map"]["icon"] = DashIconify

layout = html2dash("""
<div>
    <h1>Icon example</h1>
    <icon icon="mdi:home"/>
</div>
""")

Display a pandas dataframe in dash

Since pandas dataframes come with a to_html method, you can easily display them in dash using html2dash.

import pandas as pd
from html2dash import html2dash

df = pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]})
layout = html2dash(df.to_html())

If you want to use dash_mantine_components to display the dataframe, you can do the following.

import pandas as pd
from html2dash import html2dash, settings
import dash_mantine_components as dmc

# <table> would have been mapped to dash.html.Table
# But, we want to use dmc.Table instead.
settings["element-map"]["table"] = dmc.Table

df = pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]})
layout = html2dash(df.to_html())

html2dash can handle multi-index dataframes as well.

import pandas as pd
from html2dash import html2dash, settings
import dash_mantine_components as dmc

settings["element-map"]["table"] = dmc.Table

df = pd.DataFrame(
    {
        ("a", "b"): [1, 2, 3],
        ("a", "c"): [4, 5, 6],
        ("d", "e"): [7, 8, 9],
    }
)
layout = html2dash(df.to_html())

Case sensitivity of html tags

html tags are case insensitive. So, <div> and <DIV> are equivalent. But, html2dash is partly case sensitive. For any tag, it first tries to find the tag with the given case. If it does not find the tag, it tries to find the tag with the first letter capitalized.

For example, if you have the following layout:

layout = html2dash("""
<div>
    <h1>Hello World</h1>
    <p>This is a paragraph</p>
    <input id="my-input" value="Hello World"/>
</div>
""")

In the above, all tags except input are found in dash.html module. And for input tag, the following will be the sequence of searches:

1. Search for input in dash.html >> Not found
2. Search for Input in dash.html >> Not found
3. Search for input in dash.dcc >> Not found
4. Search for Input in dash.dcc >> Found