Search results
One of the useful features is that the forms will automatically save your data to a Google Sheet. This article will walk through how to create a form, authenticate using OAuth 2 and read all the responses into a pandas dataframe.
This article will describe one method to combine multiple pieces of information into an HTML template and then converting it to a standalone PDF document using Jinja templates and WeasyPrint.
Jul 2, 2015 · This article will focus on how to use the data in the dataframe to create complex and powerful data visualizations with seaborn. If you have not read the previous article please give it a quick glance so you understand the background.
- 53.000000
- 1.000000
- 2.037736
- 0.783539
Generate PDF reports from data included in several Pandas DataFrames. From pbpython.com. """ from __future__ import print_function. import pandas as pd. import numpy as np. import argparse. from jinja2 import Environment, FileSystemLoader. from weasyprint import HTML.
- Template Pdf
- Laying Out The Form View
- Generating A Pdf
- Running The Generation in A Separate Thread
- Completing The Generator
- Automatically Showing The Result
- Generating from A Csv File
- Possible Improvements
For testing I've created a custom TPS report templateusing Google Docs and downloaded the page as PDF. The page contains a number of fields which are to be filled. In this tutorial, we'll write a PyQt form which a user can fill in and then write that data out onto the PDF at the correct place. The template is in A4 format. Save it in the same folde...
Qt includes a QFormLayout layout which simplifies the process of generating simple form layouts. It works similarly to a grid, but you can add rows of elements together and strings are converted automatically to QLabelobjects. Our skeleton application, including the full layout matching the template form (more or less) is shown below. When writing ...
For PDF generation using a base template, we'll be combining reportlab and PdfReader. The process is as follows -- 1. Read in the template.pdf file using PdfReader, and extract the first page only. 2. Create a reportlab Canvasobject 3. Use pdfrw.toreportlab.makerl to generate a canvas object then add it to the Canvas with canvas.doForm() 4. Draw ou...
Since each generation is an isolated job, it makes sense to use Qt's QRunner framework to handle the process -- this also makes it simple later to for example add customizable templates per job. We're using the same approach seen in the Multithreading tutorial where we use a subclass of QRunner to hold our custom run code, and implement runner-spec...
Next we need to finish the text placement on the template. The trick here is to work out what the per-line spacing is for your template (depends on the font size etc.) and then calculate positions relative to the first line. The y coordinates increase up the page (so 0,0 is the bottom left) so in our code before, we define the ystart for the top li...
When the file is created our runner returns the filename of the created file in a signal (currently it is always the same). It would be nice to present the resulting PDF to the user automatically, so they can check if everything looks good. On Windows we can use os.startfile to open a file with the default launcherfor that type -- in this case open...
In the above example you need to type the data to fill in manually. This is fine if you don't have a lot of PDFs to generate, but not so much fun if you have an entire CSV file worth of data to generate reports for. In the example below, rather than present a list of form fields to the user we just ask for a source CSV file from which PDFs can be g...
If you feel like improving on this code, there are a few things you could try 1. Make the template and output file location configurable -- use a Qt file dialogs 2. Load the field positions from a file alongside the template (JSON) so you can use the same form with multiple templates 3. Make the fields configurable -- this gets quite tricky, but yo...
Let’s look at one simple example of how to create a line chart with object-oriented interface. fig, ax = plt.subplots(figsize=(3,3)) ax.plot(['Alice','Bob','Catherine'], [4,6,3], color='r') A step-by-step guide for creating advanced Pytho... https://towardsdatascience.com/a-step-by-step-gu... 4 of 22 5/29/19, 5:07 PM
Create PDF reports with beautiful visualizations in 10 minutes or less. Reports are everywhere, so any tech professional must know how to create them. It’s a tedious and time-consuming task, which makes it a perfect candidate for automation with Python.
