fix second set of linting issues

app/charts/plot_cash_based_earnings.py

@@ -54,7 +54,6 @@ def plot_cash_to_earnings(self, container, ticker_symbol, frequency):
         else:
             print(f"{company_name} has low quality earnings")
 
-
         ax = self.fig.add_subplot(111)
         y_label_text = "Amount in $"
         graph_title = company_name + " " + self.title

app/charts/plot_cash_flow.py

@@ -19,20 +19,21 @@ class CashFlowGraph:
     """
     Free cash flow graph class.
     """
+
     def __init__(self):
         self.canvas = None
         self.fig = Figure(figsize=(12, 5), dpi=80)
         self.y_label_text = "Free Cash Flow in $"
 
     def plot_cash_graph(self, container, ticker_symbol, frequency):
         """
-             Plots the Cash flow for a given stock symbol and frequency.
+        Plots the Cash flow for a given stock symbol and frequency.
 
-             :param container: The container widget where the plot will be displayed.
-             :param ticker_symbol: The stock symbol.
-             :param frequency: The frequency of the data (annual or quarterly).
-             :return: None
-             """
+        :param container: The container widget where the plot will be displayed.
+        :param ticker_symbol: The stock symbol.
+        :param frequency: The frequency of the data (annual or quarterly).
+        :return: None
+        """
         ticker_object = ticker.get_ticker(
             ticker_symbol
         )  ## Gets the ticker object so you can access the various objects

app/charts/plot_earnings.py

@@ -16,16 +16,15 @@
 
 class EarningsGraph:
     """
-      Earnings graph class.
-      """
+    Earnings graph class.
+    """
+
     def __init__(self):
         self.canvas = None
         self.fig = Figure(figsize=(12, 5), dpi=80)
         self.y_label_text = "Amount in $"
         self.earnings_title = "Earnings"
 
-
-
     def plot_earnings(self, container, ticker_symbol, frequency):
         ticker_object = ticker.get_ticker(
             ticker_symbol

app/financials/analyze.py

@@ -1,5 +1,11 @@
-from app.financials import statistics as statistics_tab, balancesheet as balance_sheet, \
-    companyprofile as company_profile, cash_flow_sheet as cash_flow_page, summary as summary_page, price as price_data
+from app.financials import (
+    statistics as statistics_tab,
+    balancesheet as balance_sheet,
+    companyprofile as company_profile,
+    cash_flow_sheet as cash_flow_page,
+    summary as summary_page,
+    price as price_data,
+)
 
 from app.helpers import tickers as ticker
 
@@ -9,17 +15,24 @@
 def get_company_sector(ticker_symbol):
     try:
         ticker_symbol_object = ticker.get_ticker(
-            ticker_symbol)  # Gets the ticker_symbol object so you can access the various objects
-        company_sector = company_profile.get_company_sector(ticker_symbol_object, ticker_symbol)
+            ticker_symbol
+        )  # Gets the ticker_symbol object so you can access the various objects
+        company_sector = company_profile.get_company_sector(
+            ticker_symbol_object, ticker_symbol
+        )
         return company_sector
     except TypeError:
         return error_message
 
+
 def get_company_details(ticker_symbol_symbol):
     try:
         ticker_symbol_object = ticker.get_ticker(
-            ticker_symbol_symbol)  # Gets the ticker_symbol object so you can access the various objects
-        company_details = company_profile.get_company_summary_details(ticker_symbol_object, ticker_symbol_symbol)
+            ticker_symbol_symbol
+        )  # Gets the ticker_symbol object so you can access the various objects
+        company_details = company_profile.get_company_summary_details(
+            ticker_symbol_object, ticker_symbol_symbol
+        )
         return company_details
     except TypeError:
         return error_message
@@ -28,8 +41,11 @@ def get_company_details(ticker_symbol_symbol):
 def get_stock_name(ticker_symbol_symbol):
     try:
         ticker_symbol_object = ticker.get_ticker(
-            ticker_symbol_symbol)  # Gets the ticker_symbol object so you can access the various objects
-        stock_name = price_data.get_company_name(ticker_symbol_object, ticker_symbol_symbol)
+            ticker_symbol_symbol
+        )  # Gets the ticker_symbol object so you can access the various objects
+        stock_name = price_data.get_company_name(
+            ticker_symbol_object, ticker_symbol_symbol
+        )
         return stock_name
     except TypeError:
         return error_message
@@ -39,74 +55,103 @@ def get_stock_name(ticker_symbol_symbol):
 
 def get_current_stock_price(ticker_symbol_symbol):
     ticker_symbol_object = ticker.get_ticker(
-        ticker_symbol_symbol)  # Gets the ticker_symbol object so you can access the various objects
-    current_stock_price = price_data.get_current_stock_price(ticker_symbol_object, ticker_symbol_symbol)
+        ticker_symbol_symbol
+    )  # Gets the ticker_symbol object so you can access the various objects
+    current_stock_price = price_data.get_current_stock_price(
+        ticker_symbol_object, ticker_symbol_symbol
+    )
 
     return current_stock_price
 
 
 def get_eps(ticker_symbol_symbol):
     ticker_symbol_object = ticker.get_ticker(
-        ticker_symbol_symbol)  # Gets the ticker_symbol object so you can access the various objects
+        ticker_symbol_symbol
+    )  # Gets the ticker_symbol object so you can access the various objects
     eps = summary_page.earnings_per_share(ticker_symbol_object, ticker_symbol_symbol)
     return eps
 
 
 def get_pe_ratio(ticker_symbol_symbol):
     ticker_symbol_object = ticker.get_ticker(
-        ticker_symbol_symbol)  # Gets the ticker_symbol object so you can access the various objects
+        ticker_symbol_symbol
+    )  # Gets the ticker_symbol object so you can access the various objects
     pe_ratio = summary_page.get_pe_ratio(ticker_symbol_object, ticker_symbol_symbol)
 
     return pe_ratio
 
 
 def get_debt_to_equity(ticker_symbol):
     ticker_symbol_object = ticker.get_ticker(
-        ticker_symbol)  # Gets the ticker_symbol object so you can access the various objects
-    debt_to_equity_ratio = statistics_tab.get_debt_to_equity(ticker_symbol_object, ticker_symbol)
+        ticker_symbol
+    )  # Gets the ticker_symbol object so you can access the various objects
+    debt_to_equity_ratio = statistics_tab.get_debt_to_equity(
+        ticker_symbol_object, ticker_symbol
+    )
 
     return debt_to_equity_ratio
 
 
 def get_return_on_equity(ticker_symbol):
     ticker_symbol_object = ticker.get_ticker(
-        ticker_symbol)  # Gets the ticker_symbol object so you can access the various objects
-    return_on_equity = statistics_tab.get_return_on_equity(ticker_symbol_object, ticker_symbol)
+        ticker_symbol
+    )  # Gets the ticker_symbol object so you can access the various objects
+    return_on_equity = statistics_tab.get_return_on_equity(
+        ticker_symbol_object, ticker_symbol
+    )
 
     return return_on_equity
 
 
 def get_profit_margin(ticker_symbol):
     ticker_symbol_object = ticker.get_ticker(
-        ticker_symbol)  # Gets the ticker_symbol object so you can access the various objects
-    profit_margin = statistics_tab.get_profit_margins(ticker_symbol_object, ticker_symbol)
+        ticker_symbol
+    )  # Gets the ticker_symbol object so you can access the various objects
+    profit_margin = statistics_tab.get_profit_margins(
+        ticker_symbol_object, ticker_symbol
+    )
 
     return profit_margin
 
 
 def get_cash_burn_number(ticker_symbol):
     global most_recent_cash_flow
     ticker_symbol_object = ticker.get_ticker(
-        ticker_symbol)  # Gets the ticker_symbol object so you can access the various objects
-    balance_sheet_data_frame = balance_sheet.get_balance_sheet_data(ticker_symbol_object, 'a')
-    cash_flow_data_frame = cash_flow_page.get_cash_flow_data(ticker_symbol_object, 'a')
+        ticker_symbol
+    )  # Gets the ticker_symbol object so you can access the various objects
+    balance_sheet_data_frame = balance_sheet.get_balance_sheet_data(
+        ticker_symbol_object, "a"
+    )
+    cash_flow_data_frame = cash_flow_page.get_cash_flow_data(ticker_symbol_object, "a")
 
-    cash_and_cash_equivalents = balance_sheet.get_cash_and_expenses(balance_sheet_data_frame,ticker_symbol)
+    cash_and_cash_equivalents = balance_sheet.get_cash_and_expenses(
+        balance_sheet_data_frame, ticker_symbol
+    )
 
     """
     because balance sheet does not have a TTM.## if the size of the cash flow data frame > balance sheet select
     the most recent year(not TTM)
     """
     try:
         if cash_flow_data_frame.shape[0] > balance_sheet_data_frame.shape[0]:
-            most_recent_cash_flow = cash_flow_page.get_most_recent_cash_flow_total(cash_flow_data_frame, -2)
+            most_recent_cash_flow = cash_flow_page.get_most_recent_cash_flow_total(
+                cash_flow_data_frame, -2
+            )
 
-        cash_burn = cash_flow_page.calculate_cash_burn(cash_and_cash_equivalents, most_recent_cash_flow)
+        cash_burn = cash_flow_page.calculate_cash_burn(
+            cash_and_cash_equivalents, most_recent_cash_flow
+        )
 
         ticker_symbol_name = get_stock_name(ticker_symbol)
         if cash_burn < 0:
-            print(f'{ticker_symbol_name} is already running out of money. Their cash burn is:{cash_burn:,.1f} months')
+            print(
+                f"{ticker_symbol_name} is already running out of money. Their cash burn is:{cash_burn:,.1f} months"
+            )
         else:
-          print(f'It will take {cash_burn:,.1f} months before {ticker_symbol_name} runs out of money')
+            print(
+                f"It will take {cash_burn:,.1f} months before {ticker_symbol_name} runs out of money"
+            )
     except Exception as e:
-        print(f'yikes, seems like I cannot get the cash burn for {ticker_symbol} because "{e}"')
+        print(
+            f'yikes, seems like I cannot get the cash burn for {ticker_symbol} because "{e}"'
+        )

app/financials/balancesheet.py

@@ -12,19 +12,20 @@ def get_balance_sheet_data(ticker_symbol, frequency):
 
 def get_long_term_debt(long_term_debt_data):
     try:
-        long_term_debt = long_term_debt_data['LongTermDebt']
+        long_term_debt = long_term_debt_data["LongTermDebt"]
         long_term_debt = long_term_debt / 1e3
 
         return long_term_debt
     except KeyError:
         print(error_message)
 
 
-def get_cash_and_expenses(balance_sheet_data,ticker_symbol):
+def get_cash_and_expenses(balance_sheet_data, ticker_symbol):
     try:
-        cash_and_cash_equivalents = balance_sheet_data['CashAndCashEquivalents'].iloc[
-        -1]  ## getting the data for the most recent year
+        cash_and_cash_equivalents = balance_sheet_data["CashAndCashEquivalents"].iloc[
+            -1
+        ]  ## getting the data for the most recent year
         cash_and_cash_equivalents = cash_and_cash_equivalents / 1e3
         return cash_and_cash_equivalents
     except Exception as e:
-        print(f'I do not see anything on the balance sheet for {ticker_symbol}')
+        print(f"I do not see anything on the balance sheet for {ticker_symbol}")

app/financials/cash_flow_sheet.py

@@ -1,32 +1,36 @@
 # This is the cashflow tab on the financials page in yahoo finance
 
+
 def get_cash_flow_data(ticker_object, frequency):
     cash_flow_data = ticker_object.cash_flow(frequency=frequency)
     return cash_flow_data
 
 
 def get_free_cash_flow(cash_flow_data):
-    free_cash_flow = cash_flow_data['FreeCashFlow']
+    free_cash_flow = cash_flow_data["FreeCashFlow"]
     free_cash_flow = free_cash_flow / 1e3
 
     return free_cash_flow
 
 
 def get_operating_cash_flow(cash_flow_data):
-    operating_cash_flow = cash_flow_data['OperatingCashFlow']
+    operating_cash_flow = cash_flow_data["OperatingCashFlow"]
     operating_cash_flow = operating_cash_flow / 1e3
 
     return operating_cash_flow
 
 
 def get_most_recent_cash_flow_total(cash_flow_data, position):
     try:
-        most_recent_cash_flow = cash_flow_data['FreeCashFlow'].iloc[position]  ## takes the most recent cashflow
+        most_recent_cash_flow = cash_flow_data["FreeCashFlow"].iloc[
+            position
+        ]  ## takes the most recent cashflow
         most_recent_cash_flow = most_recent_cash_flow / 1e3
         return most_recent_cash_flow
     except Exception as e:
         print(e)
 
+
 def calculate_cash_burn(cash_and_cash_equivalents, free_cash_flow):
     cash_burn = cash_and_cash_equivalents / free_cash_flow
     cash_burn = cash_burn * 12

app/financials/companyprofile.py

@@ -4,6 +4,7 @@
 
 """
 
+
 def get_company_profile(ticker_object):
     try:
         company_profile = ticker_object.summary_profile
@@ -14,13 +15,13 @@ def get_company_profile(ticker_object):
 
 def get_company_sector(ticker_object, ticker_symbol):
     company_profile_object = get_company_profile(ticker_object)
-    company_sector = company_profile_object[ticker_symbol]['sector']
+    company_sector = company_profile_object[ticker_symbol]["sector"]
 
     return company_sector
 
 
 def get_company_summary_details(ticker_object, ticker_symbol):
     company_profile_object = get_company_profile(ticker_object)
-    summary_details = company_profile_object[ticker_symbol]['longBusinessSummary']
+    summary_details = company_profile_object[ticker_symbol]["longBusinessSummary"]
 
     return summary_details

app/financials/incomestatementsheet.py

@@ -1,13 +1,14 @@
 # This is the income statement tab on the financials page in yahoo finance
 
+
 def get_income_statement(ticker_object, frequency):
     income_statements = ticker_object.income_statement(frequency)
 
     return income_statements
 
 
 def get_net_income(income_statement_data):
-    net_income = income_statement_data['NetIncome']
+    net_income = income_statement_data["NetIncome"]
 
     if net_income is not None:
         net_income = net_income / 1e3

app/financials/price.py

@@ -1,22 +1,22 @@
-
 def get_price_data_object(ticker_object):
 
     if ticker_object is not None:
         price_object = ticker_object.price
         return price_object
     else:
-         print("User did not enter a valid ticker")
+        print("User did not enter a valid ticker")
 
 
-def get_current_stock_price(ticker_object,ticker_symbol):
+def get_current_stock_price(ticker_object, ticker_symbol):
     price_object = get_price_data_object(ticker_object)
-    current_stock_price = price_object[ticker_symbol]['regularMarketPrice']
+    current_stock_price = price_object[ticker_symbol]["regularMarketPrice"]
     current_stock_price = float(round(current_stock_price, 2))
 
     return current_stock_price
 
-def get_company_name(ticker_object,ticker_symbol):
+
+def get_company_name(ticker_object, ticker_symbol):
     price_object = get_price_data_object(ticker_object)
-    company_name = price_object[ticker_symbol]['shortName']
+    company_name = price_object[ticker_symbol]["shortName"]
 
     return company_name