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AllUSPhysiciansNPIbyStateandCountry

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AllUSPhysiciansNPIbyStateandCountry / app.py

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	import streamlit as st
	import csv
	import os
	import re

	def delete_existing_state_csv_files():
	"""Delete all CSV files with 6-character names in the current directory."""
	for file in os.listdir('.'):
	if re.match(r'^[A-Z]{2}\.csv$', file, re.I):
	os.remove(file)

	def clean_column_name(column_name):
	"""Remove spaces and punctuation from column names, keeping only alphabets."""
	return re.sub(r'[^a-zA-Z]', '', column_name)

	def process_file(input_file_path):
	# Delete existing state CSV files before processing
	delete_existing_state_csv_files()

	# Open the input file for reading
	with open(input_file_path, mode='r', encoding='utf-8') as input_file:
	reader = csv.DictReader(input_file)
	# Prepare headers with cleaned column names and truncate to the first 107 fields
	headers = [clean_column_name(header) for header in reader.fieldnames[:107]]

	state_files = {} # Dictionary to keep track of open file handles for each state

	for row in reader:
	state = row['Provider Business Mailing Address State Name']

	# Skip if state is not exactly two letters
	if not re.match(r'^[A-Z]{2}$', state, re.I):
	continue

	# Generate the file name based on the state
	file_name = f'{state}.csv'

	# Check if we've already opened this state file
	if state not in state_files:
	# Open a new file for the state and write the header
	state_file = open(file_name, mode='w', newline='', encoding='utf-8')
	writer = csv.DictWriter(state_file, fieldnames=headers)
	writer.writeheader()
	state_files[state] = state_file
	else:
	# Get the writer for the already opened file
	writer = csv.DictWriter(state_files[state], fieldnames=headers)

	# Write the current row to the state's file, cleaning and truncating each row to the first 50 fields
	cleaned_row = {clean_column_name(k): v for k, v in list(row.items())[:50]}
	writer.writerow(cleaned_row)

	# Close all open state files
	for file in state_files.values():
	file.close()

	if __name__ == "__main__":
	input_file_path = 'npidata_pfile_20050523-20240107.csv' # Replace with the path to your large file
	process_file(input_file_path)