CHATGPT AI
calculating
the total number of months
total_months = len(date)
print("Total Months: " + str(total_months))
#calculating the net total amount of "Profit/Losses" over the entire period
net_amount = sum(profit_losses)
print("Total: $" + str(net_amount))
#calculating the average of the changes in "Profit/Losses" over the entire period
average_change = round((net_amount - profit_losses[0]) / (total_months - 1),2) #subtracting first value from total and dividing by total months - 1 to get average change. Rounding to two decimal places.
print("Average Change: $" + str(average_change))
#calculating the greatest increase in profits (date and amount) over the entire period
greatest_increase = max(profit_losses) #finding max value in profit losses list
greatest_increase_index = profit_losses.index(greatest_increase) #finding index of max value in profit losses list so we can find corresponding date from date list.
greatest_increase_date = date[greatest_increase_index] #using index from above to find corresponding date from date list.
print("Greatest Increase in Profits: " + greatest
total_months = len(date)
print("Total Months: " + str(total_months))
#calculating the net total amount of "Profit/Losses" over the entire period
net_amount = sum(profit_losses)
print("Total: $" + str(net_amount))
#calculating the average of the changes in "Profit/Losses" over the entire period
average_change = round((net_amount - profit_losses[0]) / (total_months - 1),2) #subtracting first value from total and dividing by total months - 1 to get average change. Rounding to two decimal places.
print("Average Change: $" + str(average_change))
#calculating the greatest increase in profits (date and amount) over the entire period
greatest_increase = max(profit_losses) #finding max value in profit losses list
greatest_increase_index = profit_losses.index(greatest_increase) #finding index of max value in profit losses list so we can find corresponding date from date list.
greatest_increase_date = date[greatest_increase_index] #using index from above to find corresponding date from date list.
print("Greatest Increase in Profits: " + greatest
the total number of months
total_months = len(date)
print("Total Months: " + str(total_months))
#calculating the net total amount of "Profit/Losses" over the entire period
net_amount = sum(profit_losses)
print("Total: $" + str(net_amount))
#calculating the average of the changes in "Profit/Losses" over the entire period
average_change = round((net_amount - profit_losses[0]) / (total_months - 1),2) #subtracting first value from total and dividing by total months - 1 to get average change. Rounding to two decimal places.
print("Average Change: $" + str(average_change))
#calculating the greatest increase in profits (date and amount) over the entire period
greatest_increase = max(profit_losses) #finding max value in profit losses list
greatest_increase_index = profit_losses.index(greatest_increase) #finding index of max value in profit losses list so we can find corresponding date from date list.
greatest_increase_date = date[greatest_increase_index] #using index from above to find corresponding date from date list.
print("Greatest Increase in Profits: " + greatest
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