Extracting tables from pdf with chatgpt

to extract tables from a pdf using python, we can utilize the `camelot` library which is a python wrapper for the `tabula-java` library. `camelot` allows you to extract tables from pdfs with varying layouts and complexities.

here is a step-by-step tutorial on how to extract tables from a pdf using camlot:

### step 1: install the necessary libraries
make sure you have `camelot-py` installed. you can install it using pip:

### step 2: import the required modules

### step 3: extract tables from the pdf

### step 4: access the extracted tables
once the tables are extracted, you can access them using the `tables` object. you can iterate over the tables and access their data using the `df` attribute.

### example code:
here's an example code snippet that combines all the steps mentioned above:

### additional notes:
- you can adjust the `flavor` parameter in the `read_pdf` function based on the layout of the table in the pdf ('stream', 'lattice', 'simple', etc.).
- you can also pass additional parameters to `read_pdf` to fine-tune the table extraction process.

i hope this tutorial helps you extract tables from pdfs using python and camelot! let me know if you have any more questions.

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