The code below when run in jupyter notebook renders a table with a colour gradient format that I would like to export to an image file.
The resulting 'styled_table' object that notebook renders is a pandas.io.formats.style.Styler type.
I have not been able to find a way to export the Styler to an image.
I hope someone can share a working example of an export, or give me some pointers.
import pandas as pd import seaborn as sns data = {('count', 's25'): {('2017-08-11', 'Friday'): 88.0, ('2017-08-12', 'Saturday'): 90.0, ('2017-08-13', 'Sunday'): 93.0}, ('count', 's67'): {('2017-08-11', 'Friday'): 404.0, ('2017-08-12', 'Saturday'): 413.0, ('2017-08-13', 'Sunday'): 422.0}, ('count', 's74'): {('2017-08-11', 'Friday'): 203.0, ('2017-08-12', 'Saturday'): 227.0, ('2017-08-13', 'Sunday'): 265.0}, ('count', 's79'): {('2017-08-11', 'Friday'): 53.0, ('2017-08-12', 'Saturday'): 53.0, ('2017-08-13', 'Sunday'): 53.0}} table = pd.DataFrame.from_dict(data) table.sort_index(ascending=False, inplace=True) cm = sns.light_palette("seagreen", as_cmap=True) styled_table = table.style.background_gradient(cmap=cm) styled_table
Pass your normal or styled DataFrame to the export function along with a file location to save it as an image. You may also export directly from the DataFrame or styled DataFrame using the dfi. export and export_png methods, respectively. Here, an example of how exporting a DataFrame would look like in a notebook.
It is possible to wrap the images in a python list. That makes it possible to store it in a pandas DataFrame.
As mentioned in the comments, you can use the render
property to obtain an HTML of the styled table:
html = styled_table.render()
You can then use a package that converts html to an image. For example, IMGKit: Python library of HTML to IMG wrapper. Bear in mind that this solution requires the installation of wkhtmltopdf, a command line tool to render HTML into PDF and various image formats. It is all described in the IMGKit page.
Once you have that, the rest is straightforward:
import imgkit imgkit.from_string(html, 'styled_table.png')
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