import matplotlib.pyplot as plt
from hist import Histogram
h = Histogram()
most_used_servers = ["Apache", "nginx", "Oracle", "lighttpd", "Microsoft-IIS"]
with open("stripped_servers.txt", 'r') as f:
data = f.read().split("\n")
for serv in data:
for server in ["Apache", "nginx", "Oracle", "lighttpd", "Microsoft-IIS"]:
if server in serv:
h.add(server)
keys = list(h.get_dict().keys())
X = list(range(len(keys)))
values = list(h.get_dict().values())
plt.bar(X, list(values), width=1)
plt.xticks(X, keys)
plt.xlabel("Server")
plt.ylabel("Count")
ax = plt.subplot(111)
plt.title("Most used servers for BG sites")
plt.savefig("histogram.png")
}
h = Histogram()
with open("result.txt", "r") as f:
lines = f.read().split("\n")
for line in lines:
for server in servers:
if server in line.lower():
count = line.split(":")[1]
count = int(count)
for _ in range(count):
h.add(servers[server])
h = h.get_dict()
print(h)
keys = list(h.keys())
values = list(h.values())
X = list(range(len(keys)))
plt.bar(X, list(h.values()), align="center")
plt.xticks(X, keys)
plt.title(".bg servers")
plt.xlabel("Server")
plt.ylabel("Count")
plt.savefig("histogram.png")
}
h = Histogram()
with open("result.txt", "r") as f:
lines = f.read().split("\n")
for line in lines:
for server in servers:
if server in line.lower():
count = line.split(":")[1]
count = int(count)
for _ in range(count):
h.add(servers[server])
h = h.get_dict()
print(h)
keys = list(h.keys())
values = list(h.values())
X = list(range(len(keys)))
plt.bar(X, list(h.values()), align="center")
plt.xticks(X, keys)
plt.title(".bg servers")
plt.xlabel("Server")
plt.ylabel("Count")
plt.savefig("histogram.png")
