Formatting#

Formatting with Pandas#

itables builds the HTML representation of your Pandas dataframes using Pandas itself, so you can use Pandas’ formatting options. For instance, you can change the precision used to display floating numbers:

from itables import init_notebook_mode, show
from itables.sample_dfs import get_countries

init_notebook_mode(all_interactive=True)
import math

import pandas as pd

with pd.option_context("display.float_format", "{:,.2f}".format):
    show(pd.Series([i * math.pi for i in range(1, 6)]))
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Or you can use a custom formatter:

with pd.option_context("display.float_format", "${:,.2f}".format):
    show(pd.Series([i * math.pi for i in range(1, 6)]))
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Formatting with Javascript#

Numbers are formatted using Pandas, then are converted back to float to ensure they come in the right order when sorted. Therefore, to achieve a particular formatting you might have to resort to the columns.render option of DataTables.

For instance, this example can be ported like this:

from itables import JavascriptCode

show(
    pd.Series([i * math.pi * 1e4 for i in range(1, 6)]),
    columnDefs=[
        {
            "targets": "_all",
            "render": JavascriptCode("$.fn.dataTable.render.number(',', '.', 3, '$')"),
        }
    ],
)
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Colors based on cell values#

You can use Javascript callbacks to set the cell or row style depending on the cell content.

The example below, in which we color in red the cells with negative numbers, is directly inspired by the corresponding DataTables example.

Note how the Javascript callback is declared as JavascriptFunction object below.

from itables import JavascriptFunction

show(
    pd.DataFrame([[-1, 2, -3, 4, -5], [6, -7, 8, -9, 10]], columns=list("abcde")),
    columnDefs=[
        {
            "targets": "_all",
            "createdCell": JavascriptFunction(
                """
function (td, cellData, rowData, row, col) {
    if (cellData < 0) {
        $(td).css('color', 'red')
    }
}
"""
            ),
        }
    ],
)
a b c d e
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Formatting with Pandas style#

ITables in version 1.6 and above can render Pandas Style objects as interactive DataTables.

This way, you can easily add background color, and even tooltips to your dataframes, and still get them displayed using DataTables - see our examples.

Warning

Please note that Pandas Style objects are rendered using their .to_html() method, which is less efficient that the default JS data export used by ITables.

HTML in cells#

A simple example#

HTML content is supported, which means that you can have formatted text, links or even images in your tables:

pd.Series(
    [
        "<b>bold</b>",
        "<i>italic</i>",
        '<a href="https://github.com/mwouts/itables">link</a>',
    ],
    name="HTML",
)
HTML
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Images in a table#

df = get_countries(html=False)

df["flag"] = [
    '<a href="https://flagpedia.net/{code}">'
    '<img src="https://flagpedia.net/data/flags/h80/{code}.webp" '
    'alt="Flag of {country}"></a>'.format(code=code.lower(), country=country)
    for code, country in zip(df.index, df["country"])
]
df["country"] = [
    '<a href="https://en.wikipedia.org/wiki/{}">{}</a>'.format(country, country)
    for country in df["country"]
]
df["capital"] = [
    '<a href="https://en.wikipedia.org/wiki/{}">{}</a>'.format(capital, capital)
    for capital in df["capital"]
]
df
region country capital longitude latitude flag
code
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Base64 images#

Base64 encoded image are supported, too:

pd.Series(
    {
        "url": '<img src="https://storage.googleapis.com/tfds-data/visualization/fig/mnist-3.0.1.png" height="50" alt="MNIST">',
        "base64": '<img src="data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAAUA'
        "AAAFCAYAAACNbyblAAAAHElEQVQI12P4//8/w38GIAXDIBKE0DHxgljNBAAO"
        '9TXL0Y4OHwAAAABJRU5ErkJggg==" alt="Red dot">',
    },
    name="Images",
)
Images
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