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import matplotlib.pyplot as plt
import pandas as pd
shoot = {
'italy': [119, 74, 71, 68, 65, 61, 58, 56, 55, 51],
'spain': [56, 46, 42, 39, 37, 36, 35, 33, 33, 32],
'england': [64, 61, 55, 53, 53, 47, 44, 44, 43, 42],
'germany': [63, 62, 49, 48, 47, 46, 44, 44, 44, 41]
}
goal = {
'italy': [13, 11, 10, 10, 10, 9, 8, 8, 7, 7],
'spain': [15, 11, 11, 10, 8, 8, 8, 8, 8, 7],
'england': [12, 11, 9, 9, 8, 8, 8, 8, 8, 8],
'germany': [12, 12, 11, 11, 10, 9, 9, 9, 8, 7]
}
shoot_leader = {
'Cristiano Ronaldo': (1, 119),
'Werner': (1, 63),
'Messi': (1, 56),
'Salah': (1, 64)
}
goal_leader = {
'Aubameyang': (1, 12),
'Messi': (1, 15),
'Pia Turk': (1, 13),
'Iovich': (1, 12)
}
x = [i + 1 for i in range(10)]
df = pd.DataFrame(shoot, x)
ax = df.plot()
for key, value in shoot_leader.items():
plt.annotate(key, value)
plt.title("Top 10 shoot times distribution of 4 leagues")
df_goal = pd.DataFrame(goal, x)
df_goal.plot()
for key, value in goal_leader.items():
plt.annotate(key, value)
plt.title("Top 10 goal distribution of 4 leagues")
plt.show()
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