Filename: nola_v1.py Also submit: A screenshot (or download) of your plot Input files: Download nola weather feb.csv and save it in the same directory as your nola_v1.py file Mardi Gras is coming up! It's one of Laney's favorite holidays, but before she plans a trip back to New Orleans to celebrate it, she wants to check on the weather patterns. Is it usually too hot, too cold, or fine? Let's find out! The input data file contains the high, low, and mean temps (and humidity) on Mardi Gras Tuesday going back to 1922. For this problem, create a plot showing three things: - All the high temps with year as the x-value and its temp as the y-value - All the low temps, on the same scatterplot but a different color than the highs - The year and temp when the high temp was the highest (in our solution, we plotted all the highs and lows first, then plotted this one data point in a bigger, brighter X so it stands out) For full credit, your program must: - Create three lists: years, high temps, and low temps (all ints) - Find the year and temp when the high temp was highest - Create a plot as described above that includes a legend, title, labels, etc. as usual - Put your own xticks on your plot that are readable and clear. This might be a little tricky! Try something like this: - Create a list of positions in 5-step or 10-step increments, so it would look like pos =[0,5, 10,15,] - Create a list of every 5 th or every 10 th year from the file, so it would look like years = [1922,1927,1932,] After creating your plot, call plt.xticks(pos, years) If it still looks too crowded, try a rotation, like plt.xticks(pos, years, rotation = 45) Consider using what you know about range and list comprehension to make this all work! maln vanndlan tin