Setup

import math
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib.ticker import StrMethodFormatter as SMF
import pandas as pd
import seaborn as sns

#Create Data
data = pd.DataFrame(columns = ['Tenths',
                               'Hundreths',
                               'Profit'])

for h in range(0,10) :
    for t in range(0,10) :
        
        if (h == 0 & t ==0) :
            p = 0
        
        else :
            #Dollar value of number is tenths and hundreths.
            d = t/10 + h/100
           
            #Reciprocal.
            r = round(1/d, 2)
            
            #Profit.
            p = 100*d*r - 100
        
        
        data = data.append({'Tenths' : t,
                            'Hundreths' : h,
                            'Profit' : p},
                            ignore_index = True)
        
data

	Tenths	Hundreths	Profit
0	0	0	0
1	1	0	0
2	2	0	0
3	3	0	0
4	4	0	0
...	...	...	...
95	5	9	-0.29
96	6	9	0.05
97	7	9	0.33
98	8	9	-0.32
99	9	9	-0.01

100 rows × 3 columns

sns.set()
fig = plt.figure(figsize = (12.15, 10))
ax = fig.add_subplot(xlim = (-0.5, 9.5),
                     ylim = (-0.5, 9.5))

heatmap = plt.scatter(x = data['Tenths'],
                      y = data['Hundreths'],
                      c = data['Profit'],
                      cmap = 'RdBu',
                      marker = "s",
                      s = 2850)

#Title setup.
ax.set_title('Loss/Profit from Exchange Rate', fontsize = 24)

#X-axis setup.
ax.set_xlabel('Tenths Digit', fontsize = 22)
ax.set_xticks(range(0,10))
#Y-axis setup.
ax.set_ylabel('Hundreths Digit', fontsize = 22)
ax.set_yticks(range(0,10))
ax.tick_params(axis = 'both', which = 'major', labelsize = 18)


for row in data.iterrows():
    plt.annotate(round(row[1][2], 2),
                 (row[1][0], row[1][1]),
                  c = "w",
                  fontsize = 22,
                  ha = "center",
                  va = "center")


#Colorbar.
plt.colorbar(heatmap).set_label('Loss/Profit', fontsize = 22);

fig.savefig("2023.05.26 Express.png",
            bbox_inches = 'tight')

Rohan Lewis

2023.05.31