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Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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# Import the libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# Gather the data
st="""Country/Region
Lat Long
Afghanistan 33 65 4 4 5 6 8 11
Albania 41.1533 20.1683 5 13 23 34 56 104 178 240 315
Algeria 28.0339 1.6596 1 1 2 4 5 8 15 26 56
Andorra 42.5063 1.5218 23 34 56 78
103 204 336 584 789
Angola -11.2027 17.8739 7 12 23 53 89 142 203 310 420
Antigua and Barbuda 17.0608 -61.7964 0 0 1 1 1 2 3 58
Argentina -38.4161 -63.6167 58 103 205 359 498 630 1004 1597 2102
Armenia 40.0691 45.0382 23 29 38 57 89 108 204 307 405"""
st = st.strip().split('\n')
ans = []
for i in st:
t = i.strip().split('\t')
ans.append(t)
for i in range(1, len(ans)):
for j in range (1, len(ans[i])):
ans[i][j] = float(ans[i][j])
# Plotting
=
date ans[0][3:]
plt.figure(figsize=(10,7))
for i in range(1, len(ans));
t = ans[i]
s = sum(list(t[3:]))
if s>=25.0:
4/1/2020 4/2/2020 4/3/2020 4/4/2020 4/5/2020 4/6/2020 4/7/2020 4/8/2020 4/9/2020
14 17 19
plt.plot(t[3:], label = 'Country: '+ans[i][0])
plt.xlabel('Date')
plt.xticks(np.arange (len (date)),date)
plt.ylabel('Death count')
plt.legend()
plt.show()
Transcribed Image Text:# Import the libraries import pandas as pd import numpy as np import matplotlib.pyplot as plt # Gather the data st="""Country/Region Lat Long Afghanistan 33 65 4 4 5 6 8 11 Albania 41.1533 20.1683 5 13 23 34 56 104 178 240 315 Algeria 28.0339 1.6596 1 1 2 4 5 8 15 26 56 Andorra 42.5063 1.5218 23 34 56 78 103 204 336 584 789 Angola -11.2027 17.8739 7 12 23 53 89 142 203 310 420 Antigua and Barbuda 17.0608 -61.7964 0 0 1 1 1 2 3 58 Argentina -38.4161 -63.6167 58 103 205 359 498 630 1004 1597 2102 Armenia 40.0691 45.0382 23 29 38 57 89 108 204 307 405""" st = st.strip().split('\n') ans = [] for i in st: t = i.strip().split('\t') ans.append(t) for i in range(1, len(ans)): for j in range (1, len(ans[i])): ans[i][j] = float(ans[i][j]) # Plotting = date ans[0][3:] plt.figure(figsize=(10,7)) for i in range(1, len(ans)); t = ans[i] s = sum(list(t[3:])) if s>=25.0: 4/1/2020 4/2/2020 4/3/2020 4/4/2020 4/5/2020 4/6/2020 4/7/2020 4/8/2020 4/9/2020 14 17 19 plt.plot(t[3:], label = 'Country: '+ans[i][0]) plt.xlabel('Date') plt.xticks(np.arange (len (date)),date) plt.ylabel('Death count') plt.legend() plt.show()
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