Fix code style issues with Black

Author: lint-action

projects/Live AQI/main.py

@@ -1,6 +1,6 @@
-#pip install geopy
-#pip install requests
-#Enter your API KEY from AIR VISUAL API
+# pip install geopy
+# pip install requests
+# Enter your API KEY from AIR VISUAL API
 
 import tkinter as tk
 import requests
@@ -30,7 +30,9 @@
 country_entry = tk.Entry(app)
 country_entry.pack()
 
-get_aqi_button = tk.Button(app, text="Get AQI", bg="#3498db")  # Set the background color of the button
+get_aqi_button = tk.Button(
+    app, text="Get AQI", bg="#3498db"
+)  # Set the background color of the button
 get_aqi_button.place(x=180, y=200)
 
 # Add some space between the entry fields and the button
@@ -51,15 +53,16 @@
 AIRVISUAL_API_KEY = "YOUR API KEY"
 AIRVISUAL_API_URL = "https://api.airvisual.com/v2/city"
 
+
 def get_aqi():
     city = city_entry.get().strip()  # Remove leading/trailing whitespaces
     state = state_entry.get().strip()
     country = country_entry.get()
-    
+
     if city.lower() == "mumbai":
         city = "Mumbai"
         state = "Maharashtra"
-    
+
     params = {
         "city": city,
         "state": state,

projects/Market Financial Sentiment Predictor/main.py

@@ -5,9 +5,9 @@
 
 # Import Dataset
 # This is a data (dummy) of Financial Market Top 25 News to Train and predict model for overall sentiment analysis.
-data = pd.read_csv("Financial Market News.csv", encoding = "ISO-8859-1")
+data = pd.read_csv("Financial Market News.csv", encoding="ISO-8859-1")
 
-#Analysis of dataset
+# Analysis of dataset
 data.head()
 
 data.info()
@@ -16,16 +16,16 @@
 
 data.columns
 
-#Features selection
-' '.join(str(x) for x in data.iloc[1,2:27])
+# Features selection
+" ".join(str(x) for x in data.iloc[1, 2:27])
 
 data.index
 
 len(data.index)
 
 news = []
-for row in range(0,len(data.index)):
-  news.append(' '.join(str(x) for x in data.iloc[row,2:27]))
+for row in range(0, len(data.index)):
+    news.append(" ".join(str(x) for x in data.iloc[row, 2:27]))
 
 type(news)
 
@@ -38,32 +38,33 @@
 # creating a bag of words
 from sklearn.feature_extraction.text import CountVectorizer
 
-cv = CountVectorizer(lowercase = True, ngram_range=(1,1))
+cv = CountVectorizer(lowercase=True, ngram_range=(1, 1))
 
 X = cv.fit_transform(X)
 
 X.shape
 
-y = data['Label']
+y = data["Label"]
 
 y.shape
 
-#Get train test split
+# Get train test split
 from sklearn.model_selection import train_test_split
 
-X_train, X_test, y_train, y_test = train_test_split(X,y,test_size= 0.3, stratify = y, random_state = 2529)
+X_train, X_test, y_train, y_test = train_test_split(
+    X, y, test_size=0.3, stratify=y, random_state=2529
+)
 
 from sklearn.ensemble import RandomForestClassifier
 
 rf = RandomForestClassifier(n_estimators=200)
 
-rf.fit(X_train,y_train)
+rf.fit(X_train, y_train)
 
 y_pred = rf.predict(X_test)
 
-from sklearn.metrics import classification_report,confusion_matrix,accuracy_score
+from sklearn.metrics import classification_report, confusion_matrix, accuracy_score
 
-confusion_matrix(y_test,y_pred)
-
-print(classification_report(y_test,y_pred))
+confusion_matrix(y_test, y_pred)
 
+print(classification_report(y_test, y_pred))

projects/Personal-Finance-tracker/main.py

@@ -4,6 +4,7 @@ def __init__(self, name, amount, category):
         self.amount = amount
         self.category = category
 
+
 class FinanceManager:
     def __init__(self):
         self.expenses = []
@@ -18,12 +19,15 @@ def calculate_total_expenses(self):
 
     def list_expenses(self):
         for expense in self.expenses:
-            print(f"Name: {expense.name}, Amount: {expense.amount}, Category: {expense.category}")
+            print(
+                f"Name: {expense.name}, Amount: {expense.amount}, Category: {expense.category}"
+            )
+
 
 # Sample usage
 if __name__ == "__main__":
     finance_manager = FinanceManager()
-    
+
     while True:
         print("Personal Finance Manager")
         print("1. Add Expense")
@@ -37,13 +41,13 @@ def list_expenses(self):
             amount = float(input("Expense Amount: "))
             category = input("Expense Category: ")
             finance_manager.add_expense(name, amount, category)
-        
+
         elif choice == "2":
             finance_manager.list_expenses()
-        
+
         elif choice == "3":
             total_expenses = finance_manager.calculate_total_expenses()
             print(f"Total Expenses: {total_expenses}")
-        
+
         elif choice == "4":
             break

projects/Skycast/get_geolocation/geolocation.py

@@ -1,8 +1,10 @@
 from geopy.geocoders import Nominatim
 
+
 class GeolocationModel:
     def __init__(self):
         self.geolocator = Nominatim(user_agent="my-app")
+
     def get_location_by_name(self, location):
         location_data = self.geolocator.geocode(location)
 

projects/Skycast/skycast.py

@@ -4,6 +4,7 @@
 from weather_forecast.forecast import WeatherForecast
 import matplotlib.pyplot as plt
 
+
 class SkyCast:
     def __init__(self):
         self.geolocation_model = GeolocationModel()
@@ -15,16 +16,16 @@ def title(self):
         st.markdown(
             '<div style="border: 1px solid #ccc; padding: 20px; border-radius: 10px;">'
             '<h1 style="text-align: center; color: #0080FF;">SkyCast 🌤️</h1>'
-            '</div>',
-            unsafe_allow_html=True
+            "</div>",
+            unsafe_allow_html=True,
         )
 
     def input(self):
         st.sidebar.title("Weather Options")
         self.weather_option = st.sidebar.radio(
             "Choose Weather Option",
             options=["Today's Weather", "Forecast Weather"],
-            key="weather_option"
+            key="weather_option",
         )
 
         if self.weather_option == "Today's Weather":
@@ -33,7 +34,6 @@ def input(self):
             self.display_forecast_weather()
 
     def display_today_weather(self):
-
         latitude, longitude = None, None
         # Manually enter the city name
         city_name = st.sidebar.text_input("Enter City Name", key="city_name")
@@ -43,8 +43,10 @@ def display_today_weather(self):
             # If the submit button is not clicked, do not proceed further
             return
 
-
-        st.markdown(f"<h2 style='text-align: center;'>Today's Weather</h2>", unsafe_allow_html=True)
+        st.markdown(
+            f"<h2 style='text-align: center;'>Today's Weather</h2>",
+            unsafe_allow_html=True,
+        )
 
         if latitude is not None and longitude is not None:
             # Make API request
@@ -58,7 +60,7 @@ def display_today_weather(self):
                 # Date and time
                 st.markdown(
                     f'<h3 style="text-align: center;">{weather_data["city_name"]}, {weather_data["country_code"]}: {datetime_value}</h3>',
-                    unsafe_allow_html=True
+                    unsafe_allow_html=True,
                 )
 
                 # Additional weather information
@@ -71,7 +73,9 @@ def display_today_weather(self):
                     st.markdown(f'Visibility: {weather_data["vis"]} km')
 
                 with col2:
-                    st.markdown(f'Weather Description: {weather_data["weather"]["description"]}')
+                    st.markdown(
+                        f'Weather Description: {weather_data["weather"]["description"]}'
+                    )
                     st.markdown(f'Wind Direction: {weather_data["wind_cdir_full"]}')
                     st.markdown(f'UV Index: {weather_data["uv"]}')
                     st.markdown(f'Dew Point: {weather_data["dewpt"]}°C')
@@ -80,29 +84,41 @@ def display_today_weather(self):
                 st.write("Location not found.")
 
     def display_forecast_weather(self):
-        
         latitude, longitude = None, None
         # Manually enter the city name
         city_name = st.sidebar.text_input("Enter City Name", key="city_name")
-        days = st.sidebar.number_input("How Many days do you want to Forecast", key="days", value=1, min_value=1, step=1, format="%d")
+        days = st.sidebar.number_input(
+            "How Many days do you want to Forecast",
+            key="days",
+            value=1,
+            min_value=1,
+            step=1,
+            format="%d",
+        )
 
         if st.sidebar.button("Submit"):
             latitude, longitude = self.geolocation_model.get_location_by_name(city_name)
         else:
             # If the submit button is not clicked, do not proceed further
             return
-        st.markdown(f"<h2 style='text-align: center;'>Forecast Weather</h2>", unsafe_allow_html=True)
+        st.markdown(
+            f"<h2 style='text-align: center;'>Forecast Weather</h2>",
+            unsafe_allow_html=True,
+        )
 
         if latitude is not None and longitude is not None:
             # Create an instance of the WeatherForecast class
-            weather = WeatherForecast(latitude, longitude, self.api_key,days)
+            weather = WeatherForecast(latitude, longitude, self.api_key, days)
 
             # Retrieve the weather forecast data
             forecast_df = weather.get_weather_forecast()
 
             # Show forecast data
             for i in range(len(forecast_df)):
-                st.markdown(f'<h3 style="text-align: center;">{forecast_df["date"][i]}</h3>', unsafe_allow_html=True)
+                st.markdown(
+                    f'<h3 style="text-align: center;">{forecast_df["date"][i]}</h3>',
+                    unsafe_allow_html=True,
+                )
 
                 col1, col2 = st.columns(2)
 
@@ -113,7 +129,9 @@ def display_forecast_weather(self):
                     st.markdown(f'Visibility: {forecast_df["visibility"][i]} km')
 
                 with col2:
-                    st.markdown(f'Weather Description: {forecast_df["weather_description"][i]}')
+                    st.markdown(
+                        f'Weather Description: {forecast_df["weather_description"][i]}'
+                    )
                     st.markdown(f'Wind Direction: {forecast_df["wind_direction"][i]}')
                     st.markdown(f'UV Index: {forecast_df["uv_index"][i]}')
                     st.markdown(f'Dew Point: {forecast_df["dew_point"][i]}°C')
@@ -123,22 +141,38 @@ def display_forecast_weather(self):
             max_temp = forecast_df["max_temp"]
             date = forecast_df["date"]
 
-            st.set_option('deprecation.showPyplotGlobalUse', False)
+            st.set_option("deprecation.showPyplotGlobalUse", False)
             plt.figure(figsize=(10, 6))  # Set the figure size
 
             # Plot the temperature line
-            plt.plot(date, temp, label='Temperature', marker='o', linestyle='-', color='blue')
+            plt.plot(
+                date, temp, label="Temperature", marker="o", linestyle="-", color="blue"
+            )
 
             # Plot the minimum temperature line
-            plt.plot(date, min_temp, label='Min Temperature', marker='o', linestyle='-', color='green')
+            plt.plot(
+                date,
+                min_temp,
+                label="Min Temperature",
+                marker="o",
+                linestyle="-",
+                color="green",
+            )
 
             # Plot the maximum temperature line
-            plt.plot(date, max_temp, label='Max Temperature', marker='o', linestyle='-', color='red')
+            plt.plot(
+                date,
+                max_temp,
+                label="Max Temperature",
+                marker="o",
+                linestyle="-",
+                color="red",
+            )
 
             # Set the labels and title
-            plt.xlabel('Date')
-            plt.ylabel('Temperature (°C)')
-            plt.title('Temperature Forecast')
+            plt.xlabel("Date")
+            plt.ylabel("Temperature (°C)")
+            plt.title("Temperature Forecast")
 
             # Add a legend
             plt.legend()
@@ -154,7 +188,7 @@ def get_weather_data(self, latitude, longitude):
             "lat": latitude,
             "lon": longitude,
             "key": self.api_key,
-            "include": "minutely"
+            "include": "minutely",
         }
         try:
             response = requests.get(self.base_url, params=params)
@@ -174,4 +208,4 @@ def get_weather_data(self, latitude, longitude):
 
 # Display the title and input fields
 weather_forecast.title()
-weather_forecast.input()
+weather_forecast.input()