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Create beamer slides using Python

Utpal Kumar   1 minute read      

We will use the Python package to create beamer presentation and append existing figures to each slide

I had several figures for my research purpose, and I wanted to include those figures in my report. I had two options: I should add each picture manually using Microsoft Powerpoint, Google Slides, or use latex or find some way to compile them together to create a presentation automatically. The first way is more flexible as it allows me to add more details to each slide. But it requires manually including all the figures. It can quickly become tedious job when I have, say, 50 figures. I need a programmatic way to compile all the figures together and still have some flexibility to add details to each slide.

After some research through Google search, I came across a Python package called Pylatex.

Example script to create a beamer slide

This is the example script for creating a beamer slide. One can modify or learn from this script to build the slides according to ones’ need.

import numpy as np
import os, glob
from pylatex import Document, Section, Subsection, Tabular, Command
from pylatex import Math, TikZ, Axis, Plot, Figure, Matrix, Alignat
from pylatex import PageStyle, Head, Foot, MiniPage, \
    StandAloneGraphic, MultiColumn, Tabu, LongTabu, LargeText, MediumText, \
    LineBreak, NewPage, Tabularx, TextColor, simple_page_number, Itemize, Hyperref, Package
from pylatex.utils import italic, bold, NoEscape, escape_latex
import os
import pandas as pd


def hyperlink(url,text):
    text = escape_latex(text)
    return NoEscape(r'\href{' + url + '}{' + text + '}')

event_info_dir = 'events_station_info'
all_station_info_files = glob.glob(f"{event_info_dir}/*.txt")
event_maps_dir = 'events_station_maps'

if __name__ == '__main__':

    geometry_options = {"tmargin": "1cm", "lmargin": "1cm", "margin": "1cm"}
    doc = Document(geometry_options=geometry_options, 
            documentclass="beamer",
            )
    doc.packages.append(Package('hyperref'))
    
    with doc.create(Section('Titlepage')):
        doc.preamble.append(Command('title', 'Preliminary Waveform Data Selection'))
        doc.preamble.append(Command('author', 'Utpal Kumar'))
        doc.preamble.append(Command('date', NoEscape(r'\today')))
        doc.append(NoEscape(r'\maketitle'))

    totstationslist = []
    for ff in glob.glob(f"{event_maps_dir}/*.png"):
        numstation = int(os.path.basename(ff).split('.png')[0].split("_")[-1])
        totstationslist.append(numstation)
    totstationsinds = np.argsort(totstationslist)
    totstationsinds = totstationsinds[::-1] #reverse order

    for ind in totstationsinds:
        ff = all_station_info_files[ind]
        dff_events = pd.read_csv(ff, nrows=1)
        evname = dff_events.loc[0,'eventorig']
        eventbrk = dff_events.loc[0,'eventbrk']
        # print(evname)
        station_map_file_list = glob.glob(f"{event_maps_dir}/*{evname}_*.png")
        if len(station_map_file_list):
            station_map_file = station_map_file_list[0]
            print(station_map_file)
            with doc.create(Section('Slide')):
                with doc.create(Itemize()) as itemize:
                    itemize.add_item(f"{evname}, Dep: {dff_events.loc[0,'eventdepth']}, Mag: {dff_events.loc[0,'eventmag']}")
                with doc.create(Subsection('Figure')):
                    with doc.create(Figure(position='h!')) as fig_map:
                        fig_map.add_image(station_map_file, width='230px')
                        fig_map.add_caption(f'Station Map for {evname}')

                doc.append(NewPage())

	# Creating a pdf
    doc.generate_pdf('event_based_analysis', clean_tex=False, clean=True)

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