Problem: the output of df.to_html()
is a plain html table, which isn't much to look at:
Meanwhile, the visual representation of dataframes in the Jupyter Notebook is much nicer, but if there's an easy way to replicate it, I haven't found it.
I know it should be possible to generate a more aesthetically-pleasing table by fiddling around with df.style
, but before I go off learning CSS, has anyone already written a function to do this?
To render a Pandas DataFrame to HTML Table, use pandas. DataFrame. to_html() method. The total DataFrame is converted to <table> html element, while the column names are wrapped under <thead> table head html element.
You can use the print() method to print the dataframe in a table format. You can convert the dataframe to String using the to_string() method and pass it to the print method which will print the dataframe.
Introduction. The pandas read_html() function is a quick and convenient way to turn an HTML table into a pandas DataFrame. This function can be useful for quickly incorporating tables from various websites without figuring out how to scrape the site's HTML.
On joining two datasets task, Polars has done it in 43 seconds. Meanwhile, Pandas did it in 628 seconds. We can see that Polars is almost 15 times faster than Pandas.
DataFrame - to_pickle() functionThe to_pickle() function is used to pickle (serialize) object to file. File path where the pickled object will be stored. A string representing the compression to use in the output file. By default, infers from the file extension in specified path.
After some research I found the prettiest and easiest solution to be https://pypi.org/project/pretty-html-table/
import pandas as pd
from pretty_html_table import build_table
df = pd.DataFrame(np.arange(9).reshape(3, 3), list('ABC'), list('XYZ'))
html_table_blue_light = build_table(df, 'blue_light')
print(html_table_blue_light)
with open('styled_table.html', 'w') as f:
f.write(html_table_blue_light)
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