#plt is alias for the longer name 'matplotlib.pyplot'
import matplotlib.pyplot as plt

table_data = [["Zane",7],
              ["Bob",10],
              ["Jim",37],
              ["Stacey",21]
              ]



# Prepare data for plotting
names = []
values = []

#'row' successively contains each row from the above list
for row in table_data:
    name = row[0] #Extracts Col 0 values with each iteration (Zane,Bone,Jim,Stacey)
    try:
        # row[1:] extracts from index 1 onward in the row i.e. 7,10,37,21
        numeric_values = [float(val) for val in row[1:]]
        #total = sum(numeric_values)
        names.append(name)

        total = numeric_values
        values.append(total)        
    except ValueError:
        print(numeric_values,"is non-numeric")
        continue
    #Uncomment below if you wish to see the valeus from Col 0 and Col 1
    #stored in names,values (respectively)
    # print(names,values)

# Plot scatter graph
plt.figure(figsize=(8, 6)) #size in inches
plt.scatter(names, values, color="blue", label="ScatterJT") #legend/data pt color, legend text
plt.plot(names, values, color="orange", label="LineJT", marker="X") #color: legend text, line
plt.title("Total Values by Name")
plt.xlabel("Name")
plt.ylabel("Total Value")
plt.legend() #Displays a legend with the text "ScatterJT", "LineJT"
plt.grid(True) #Adds lines to the horizontal & vertical grids
plt.tight_layout() #Adjust spacing so text doesn't overlap or get cut off
plt.show()