Product: Spotfire
Keywords: Spotfire, PDF, table extraction, Python, DataFrame, TERR, R, read_pdf, data import
Description:
This article provides guidance on how to import tables from PDF files directly into Spotfire using Python data functions. Alternatively, similar functionality can be achieved using TERR/R data functions with R packages.
Resolution:
Using Python Data Functions:
To extract tables from a PDF file and import them as a DataFrame in Spotfire, you can use the tabula-py
package. Below is a minimalistic example of the Python code you can use:
from tabula import read_pdf
import pandas as pd
# Specify the path to your PDF file
pdf_path = r"C:\Path\To\Your\File.pdf"
# Reads tables from the PDF file and returns a list of DataFrames
df_list = read_pdf(pdf_path, pages="all", multiple_tables=True)
# Combine all tables into a single DataFrame
Final_df = pd.concat(df_list, ignore_index=True)
This code reads tables from a PDF file, combines them into a single DataFrame, and loads data in Spotfire as Table.
Using TERR/R Data Functions:
Alternatively, you can achieve similar results using TERR/R data functions in Spotfire by leveraging R packages like pdftools
or tabulizer
. Below is a simple example of how to do this with tabulizer
in R:
library(tabulizer)
library(dplyr)
# Specify the path to your PDF file
pdf_path <- "C:/Path/To/Your/File.pdf"
# Extract tables from the PDF
df_list <- extract_tables(pdf_path)
# Combine all tables into a single DataFrame
Final_df <- bind_rows(lapply(df_list, as.data.frame))
This R code reads tables from a PDF file and combines them into a single DataFrame as table in Spotfire.
Note: Ensure the required Python or R packages (tabula-py
, pdftools
, tabulizer
, etc.) are installed in your Spotfire environment.
Additional Note: Please find the attached dashboard (DXP file) with sample PDFs using Python data functions as an example.
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