def plot_bar_chart(x_axis,freq,unit,category,rota,font,path):
plt.figure(figsize=(26,15))
plt.bar(range(len(freq)),freq, align='center',width=1,color='r')
plt.xticks(range(len(x_axis)),x_axis,size='small',fontsize=font,rotation=rota)#size='small'
plt.yticks(fontsize=font)
if unit=="Ratio":
plt.xlabel("VIDEO")
plt.ylabel('RATIO (%)')
axes = plt.gca()
axes.set_ylim([0,100])
else:
plt.xlabel(unit)
plt.ylabel('Frequency (# Videos)')
plt.title("Histogram of "+category+" : "+unit)
plt.autoscale(True)
plt.get_scale_names()
plt.grid(True)
figManager = plt.get_current_fig_manager()
figManager.window.showMaximized()
plt.savefig(path,papertype='letter',orientation='landscape')
plt.show()
plt.close()
return
def plot_bar_chart(x_axis, freq, unit, category, rota, font, path):
plt.figure(figsize=(26, 15))
plt.bar(range(len(freq)), freq, align='center', width=1, color='r')
plt.xticks(range(len(x_axis)),
x_axis,
size='small',
fontsize=font,
rotation=rota) #size='small'
plt.yticks(fontsize=font)
if unit == "Ratio":
plt.xlabel("VIDEO")
plt.ylabel('RATIO (%)')
axes = plt.gca()
axes.set_ylim([0, 100])
else:
plt.xlabel(unit)
plt.ylabel('Frequency (# Videos)')
plt.title("Histogram of " + category + " : " + unit)
plt.autoscale(True)
plt.get_scale_names()
plt.grid(True)
figManager = plt.get_current_fig_manager()
figManager.window.showMaximized()
plt.savefig(path, papertype='letter', orientation='landscape')
plt.show()
plt.close()
return
def graph(self):
plt.plot(self.time,self.price)
plt.get_scale_names()
plt.title(self.coin+'price')
plt.xlabel('time in second')
plt.ylabel('price in '+self.convert_to.upper())
plt.show()
def calc_hist_bitrate(bitrate, path, title):
bitrate = np.array(bitrate)
bitrate = map(int, bitrate)
bitrate_nozeros = eliminate_value(0, bitrate)
xmax = max(bitrate_nozeros)
xmin = min(bitrate_nozeros)
rang = xmax - xmin
"""
STURGES's LAW:
log(N)*3.322 + 4 round to closest integer
19=#bins
"""
bins = int(round(np.log10(len(bitrate_nozeros)) * 3.322 + 4))
step = rang / bins
bins_array = np.linspace(xmin, xmax, (xmax - xmin) / step)
bins_array = np.around(bins_array, decimals=0)
bins_array = map(int, bins_array)
#Compute Histogram
bit_hist, bit_bin = np.histogram(bitrate_nozeros, bins=bins_array)
plt.figure(figsize=(26, 15))
plt.bar(range(len(bit_hist)), bit_hist, align='center', width=1, color='r')
plt.xticks(range(len(bins_array)),
bins_array,
size='small',
fontsize=12,
rotation="horizontal") #size='small'
plt.yticks(fontsize=12)
axes = plt.gca()
axes.set_xlim([min(bins_array), max(bins_array)])
axes.set_ylim([min(bit_hist), max(bit_hist)])
plt.title("Histogram of " + str(title) + " : Bitrate (KBPS)")
plt.xlabel("BINS (KBPS)")
plt.ylabel('Frequency (#Videos)')
plt.autoscale(True)
plt.get_scale_names()
plt.grid(True)
figManager = plt.get_current_fig_manager()
figManager.window.showMaximized()
plt.savefig(path, papertype='letter', orientation='landscape')
plt.show()
plt.close()
return
def calc_hist_bitrate (bitrate,path,title):
bitrate=np.array(bitrate)
bitrate=map(int, bitrate)
bitrate_nozeros=eliminate_value(0,bitrate)
xmax=max(bitrate_nozeros)
xmin=min(bitrate_nozeros)
rang=xmax-xmin
"""
STURGES's LAW:
log(N)*3.322 + 4 round to closest integer
19=#bins
"""
bins=int (round (np.log10(len(bitrate_nozeros))*3.322 + 4))
step=rang/bins
bins_array=np.linspace(xmin, xmax, (xmax-xmin)/step)
bins_array=np.around(bins_array,decimals=0)
bins_array=map(int,bins_array)
#Compute Histogram
bit_hist,bit_bin=np.histogram(bitrate_nozeros,bins=bins_array)
plt.figure(figsize=(26,15))
plt.bar(range(len(bit_hist)),bit_hist, align='center',width=1,color='r')
plt.xticks(range(len(bins_array)),bins_array,size='small',fontsize=12,rotation="horizontal")#size='small'
plt.yticks(fontsize=12)
axes = plt.gca()
axes.set_xlim([min(bins_array),max(bins_array)])
axes.set_ylim([min(bit_hist),max(bit_hist)])
plt.title("Histogram of "+str(title)+" : Bitrate (KBPS)")
plt.xlabel("BINS (KBPS)")
plt.ylabel('Frequency (#Videos)')
plt.autoscale(True)
plt.get_scale_names()
plt.grid(True)
figManager = plt.get_current_fig_manager()
figManager.window.showMaximized()
plt.savefig(path,papertype='letter',orientation='landscape')
plt.show()
plt.close()
return
