Friends,
The following graphic was generated:
Thecodeusedwasasfollows:
#-*-coding:utf-8-*-importmatplotlib.pyplotaspltimportmatplotlib.datesasdatesfromdatetimeimportdatetime,timedeltax=[]y=[]withopen("dataset_semAtaques__10Abril2017_1min.csv") as f:
for l in f:
X,Y = l.split(",") #separador eh a virgula
x.append(float(X))
y.append(float (Y))
x1 = [datetime.fromtimestamp(int(d)) for d in x]
y_pos = [idx for idx, i in enumerate(y)]
plt.gca().xaxis.set_major_formatter(dates.DateFormatter('%m/%d/%Y %H:%M:%S'))
y1 = []
v = 0
y_sorted = sorted(y)
for i in y_sorted:
if(abs(i-v > 50)):
y1.append(i)
v = i
plt.bar(y_pos, y, align='edge', color="blue", alpha=0.5, width=0.5) # <--- EDICAO PRINCIPAL
plt.title("Número de Conexões por segundo: Sem Ataques")
plt.ylabel("Número de Conexões por segundo")
plt.xlabel('Tempo')
plt.xticks(y_pos, x1, size='small',rotation=35, ha="right")
plt.yticks(y1)
plt.ylim(ymin=y_sorted[0]-200) # valor minimo do eixo y
plt.show()
The bar chart looks very strange.
Any suggestions on how to best present the chart with the data below?
The data file (CSV) is available at: link