Update README.md

README.md

@@ -86,74 +86,6 @@ A link to the API can be found here: [Norges Bank Investment Management API](htt
 
 I used this code to get all companies listed in their database: 
 
-```
-api_key = " Insert Your API Key Here" 
-
-def fetch_company_details(api_key, company_name):
-    detail_url = f"https://vd.a.nbim.no/v1/query/company/{requests.utils.quote(company_name)}"
-    headers = {"x-api-key": api_key}
-    response = requests.get(detail_url, headers=headers)
-    if response.status_code == 200:
-        return response.json()
-    elif response.status_code == 429:
-        print("Rate limit exceeded. Sleeping...")
-        time.sleep(900)  # Sleep time might need adjustment
-        return fetch_company_details(api_key, company_name)
-    else:
-        print(f"Failed to fetch details for company {company_name}: {response.status_code}")
-        return {}
-
-
-def build_companies_dataframe(api_key, companies_list, save_path):
-    detailed_companies = []
-    start_from_index = get_last_processed_index(companies_list, save_path)
-
-    for i, company in enumerate(tqdm(companies_list[start_from_index:], desc="Fetching company details"), start=start_from_index):
-        company_name = company['n']
-        company_details = fetch_company_details(api_key, company_name)
-        if 'companies' in company_details:
-            for detail in company_details['companies']:
-                detailed_companies.append({
-                    'Company Name': company_name,
-                    'Ticker': detail.get('Ticker', 'N/A'),
-                    'Country': detail.get('country', 'N/A')
-                })
-        if (i + 1 - start_from_index) % 5 == 0 or i == len(companies_list) - 1:
-            pd.DataFrame(detailed_companies).to_csv(save_path, mode='a', header=not os.path.exists(save_path), index=False)
-            detailed_companies = []  # Reset to avoid re-saving data
-
-        time.sleep(1)  # Consider dynamic adjustment based on API's rate limiting response
-
-    if os.path.exists(save_path):
-        return pd.read_csv(save_path)
-    else:
-        return pd.DataFrame()
-
-```
-
-If API times out, restart at index: 
-
-```
-def get_last_processed_index(companies_list, save_path):
-    try:
-        df = pd.read_csv(save_path)
-        # Correct column name to 'Company Name'
-        last_processed_company = df.iloc[-1]['11 88 0 Solutions AG']
-        for index, company in enumerate(companies_list):
-            if company['n'] == last_processed_company:
-                return index + 1  # Resume from the next company
-    except (pd.errors.EmptyDataError, FileNotFoundError):
-        print("CSV file is empty or does not exist.")
-    return 0
-```
-
-### Step 1B: Cross refrence data with yfinance
-
-The data being evaluated are SEC filings of 1260 Equities held by the Norwegain Wealth Fund, downloaded from the SEC's Electronic Data Gathering, Analysis and Retrieval (EDGAR) website. 
-
-Cross refrenced data pulled with y_finance [yfinance](https://pypi.org/project/yfinance/) - Norwegain Wealth Fund Database did not have the correct industry tags: 
-
-```
 
 
 # Step 2: Use sec-api.io to pull 10-K by ticker: