Regenerate the code with the functionality of determining fuel used per distance

Collins Curtis answered on July 6, 2023 Popularity 1/10 Helpfulness 1/10

answer Regenerate the code with the functionality of determining fuel used per distance

Regenerate the code with the functionality of determining fuel used per distance

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import pandas as pd
import matplotlib.pyplot as plt
from tkinter import *
from tkinter.filedialog import askopenfilename

# Load or create the fuel consumption data
data_file = 'fuel_data.csv'

try:
    data = pd.read_csv(data_file)
except FileNotFoundError:
    data = pd.DataFrame(columns=['Timestamp', 'FuelQuantity', 'Distance'])

# Function to save fuel consumption data to a CSV file
def save_data():
    data.to_csv(data_file, index=False)

# Function to calculate total dispensed fuel within a time range
def calculate_total_fuel_dispensed():
    start_time = start_entry.get()
    end_time = end_entry.get()

    filtered_data = data[(data['Timestamp'] >= start_time) & (data['Timestamp'] <= end_time)]
    total_fuel_dispensed = filtered_data['FuelQuantity'].sum()
    result_label.config(text=f"Total fuel dispensed: {total_fuel_dispensed} liters")

# Function to calculate fuel used per distance
def calculate_fuel_per_distance():
    fuel_quantity = float(quantity_entry.get())
    distance = float(distance_entry.get())
    fuel_per_distance = fuel_quantity / distance
    result_label.config(text=f"Fuel used per distance: {fuel_per_distance} liters/km")

# Function to plot fuel consumption over time
def plot_fuel_consumption():
    data['Timestamp'] = pd.to_datetime(data['Timestamp'])
    data.plot(x='Timestamp', y='FuelQuantity', kind='line')
    plt.xlabel('Timestamp')
    plt.ylabel('Fuel Quantity (liters)')
    plt.title('Fuel Consumption over Time')
    plt.show()

# Function to input fuel consumption data
def input_fuel_data():
    timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
    fuel_quantity = float(quantity_entry.get())
    distance = float(distance_entry.get())

    new_entry = {'Timestamp': timestamp, 'FuelQuantity': fuel_quantity, 'Distance': distance}
    data.loc[len(data)] = new_entry
    save_data()
    update_data_listbox()
    status_label.config(text='Fuel data added successfully.')

# Function to update the data listbox
def update_data_listbox():
    data_listbox.delete(0, END)
    for index, row in data.iterrows():
        data_listbox.insert(END, f"{row['Timestamp']} - {row['FuelQuantity']} liters")

# Function to import fuel consumption data from a file
def import_data():
    file_path = askopenfilename(filetypes=[('CSV Files', '*.csv')])
    if file_path:
        imported_data = pd.read_csv(file_path)
        data = pd.concat([data, imported_data], ignore_index=True)
        save_data()
        update_data_listbox()
        status_label.config(text='Data imported successfully.')

# Create the main Tkinter window
root = Tk()
root.title("Fuel Consumption Tracker")

# Create and place the GUI widgets
input_frame = Frame(root)
input_frame.pack(pady=10)

Label(input_frame, text="Fuel Quantity (liters):").grid(row=0, column=0, padx=5, pady=5)
quantity_entry = Entry(input_frame)
quantity_entry.grid(row=0, column=1, padx=5, pady=5)

Label(input_frame, text="Distance (km):").grid(row=1, column=0, padx=5, pady=5)
distance_entry = Entry(input_frame)
distance_entry.grid(row=1, column=1, padx=5, pady=5)

Button(input_frame, text="Add Data", command=input_fuel_data).grid(row=2, column=0, columnspan=2, padx=5, pady=5)

data_frame = Frame(root)
data_frame.pack(pady=10)

data_listbox = Listbox(data_frame, width=50)
data_listbox.pack(side=LEFT, fill=Y)

scrollbar = Scrollbar(data_frame)
scrollbar.pack(side=RIGHT, fill=Y)

data_listbox.config(yscrollcommand=scrollbar.set)
scrollbar.config(command=data_listbox.yview)

update_data_listbox()

action_frame = Frame(root)
action_frame.pack(pady=10)

Label(action_frame, text="Start Time:").grid(row=0, column=0, padx=5, pady=5)
start_entry = Entry(action_frame)
start_entry.grid(row=0, column=1, padx=5, pady=5)

Label(action_frame, text="End Time:").grid(row=1, column=0, padx=5, pady=5)
end_entry = Entry(action_frame)
end_entry.grid(row=1, column=1, padx=5, pady=5)

Button(action_frame, text="Calculate Total Fuel Dispensed", command=calculate_total_fuel_dispensed).grid(row=2, column=0, columnspan=2, padx=5, pady=5)

Button(action_frame, text="Calculate Fuel per Distance", command=calculate_fuel_per_distance).grid(row=3, column=0, columnspan=2, padx=5, pady=5)

result_label = Label(action_frame, text="")
result_label.grid(row=4, column=0, columnspan=2, padx=5, pady=5)

plot_button = Button(action_frame, text="Plot Fuel Consumption", command=plot_fuel_consumption)
plot_button.grid(row=5, column=0, columnspan=2, padx=5, pady=5)

import_frame = Frame(root)
import_frame.pack(pady=10)

Button(import_frame, text="Import Data", command=import_data).pack(padx=5, pady=5)

status_label = Label(root, text="")
status_label.pack(pady=5)

root.mainloop()

Popularity 1/10 Helpfulness 1/10 Language python

Source: chat.openai.com

Tags: distance fuel python

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Contributed on Jul 06 2023

Collins Curtis

0 Answers Avg Quality 2/10

Regenerate the code with the functionality of determining fuel used per distance

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