-
Notifications
You must be signed in to change notification settings - Fork 5
/
italy.py
executable file
·184 lines (154 loc) · 4.32 KB
/
italy.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 10 18:27:37 2020
@author: edoardottt
https://edoardoottavianelli.it
"""
import csv
import requests
import socket
import os
import getopt
import sys
import matplotlib.pyplot as plt
CSV_URL = "https://raw.githubusercontent.com/pcm-dpc/COVID-19/master/dati-andamento-nazionale/\
dpc-covid19-ita-andamento-nazionale.csv"
data = []
mood = ""
# check internet connection status
def check_connection(host="8.8.8.8", port=53):
"""
Host: 8.8.8.8 (google-public-dns-a.google.com)
OpenPort: 53/tcp
Service: domain (DNS/TCP)
"""
try:
socket.socket(socket.AF_INET, socket.SOCK_STREAM).connect((host, port))
return True
except Exception:
print("[ERROR] Ensure you are connected to Internet.")
return False
# data <-- Obtaining data from CSV
def retrieve_data(CSV_URL):
print("Obtaining data...")
with requests.Session() as s:
download = s.get(CSV_URL)
decoded_content = download.content.decode("utf-8")
cr = csv.reader(decoded_content.splitlines(), delimiter=",")
my_list = list(cr)
for row in my_list:
if len(row) > 0:
data.append(row)
return data
options, remainder = getopt.getopt(
sys.argv[1:], "h", ["help"]
) # all the options allowed
for opt, arg in options:
if opt in ("-h", "--help"):
mood = "h"
def print_help():
print("USAGE: python covid-19.py [-h]")
print("")
print(" It shows the data on the command line.")
print("")
print("-h or --help:")
print("")
print(" Help doc")
print("")
print("Use python3 if you are on Linux.")
print("")
sys.exit()
def increase(new_d, old_d):
if len(new_d) == 0 or len(old_d) == 0:
return "0 %"
diff = int(new_d) - int(old_d)
diff2 = diff / int(old_d) * 100
if diff2 > 0:
return "+" + str(round(diff2)) + "%"
return str(round(diff2)) + "%"
def print_diff(title, i):
print(
" - "
+ title
+ ": "
+ data[len(data) - 1][i]
+ " ("
+ increase(data[len(data) - 1][i], data[len(data) - 2][i])
+ ")"
)
def print_df(i):
x = increase(data[len(data) - 1][i], data[len(data) - 2][i])
return x
a = []
# PRINTING DATA ON COMMAND LINE
def print_cmd(data):
lens = []
for i in range(len(data[2])):
temp = [data[j][i] for j in range(len(data)) if j != 0]
maxx = 0
for elem in temp:
if len(elem) > maxx:
maxx = len(elem)
lens.append(maxx)
for i in range(len(data)):
s = "| "
for j in range(len(data[0])):
elem = data[i][j]
if j > 1:
s += elem + " " * (lens[j] - len(elem)) + " | "
else:
s += elem + " | "
print(s)
# HERE THE INCREASE FROM YESTERDAY
titles = [
"hospitalized with symptoms",
"intensive therapy",
"total hospitalized",
"home isolation",
"total currently positives",
"total positives variation",
"new currently positives",
"discharged healed",
"deceased",
"total cases",
"swabs",
]
print("")
print(" ### (Compared to Yesterday): ###")
for i, title in enumerate(titles):
print_diff(title, i + 2)
a.append(print_df(i + 2))
u = []
for i in a:
x = i.strip("%")
u.append(x)
test_list = list(map(int, u))
feature_list = [
"hospitalized with symptoms",
"intensive therapy",
"total hospitalized",
"home isolation",
"total currently positives",
"total positives variation",
"new currently positives",
"discharged healed",
"deceased",
"total cases",
"swabs",
]
feature_count = test_list
fig, ax1 = plt.subplots()
ax1.bar(feature_list, feature_count)
fig.autofmt_xdate()
if not os.path.exists("ITALY-compared-to-yesterday"):
os.makedirs("ITALY-compared-to-yesterday")
title = "ITALY-compared-to-yesterday-" + data[len(data) - 1][0] + ".png"
plt.savefig("ITALY-compared-to-yesterday/" + title)
plt.show()
if check_connection():
if mood == "h":
print_help()
else:
data = retrieve_data(CSV_URL)
print_cmd(data)