def plot(self, filename):
xaxis = range(4)
bars = [
self.positiveTotal, self.negativeTotal, self.neutralTotal,
self.naTotal
]
labels = ["positive", "negative", "neutral", "unsure"]
minY = 0
maxY = 0
for y in bars:
if y > maxY:
maxY = y
if y < minY:
minY = y
fig = plt.figure(figsize=(8, 6))
plt.subplots_adjust(bottom=0.15, left=0.10, right=0.90, top=0.95)
plt.ylim([minY, maxY])
plt.xticks(xaxis,
labels,
rotation='vertical',
size='small',
ha='center')
rects = plt.bar(xaxis, bars, 0.5, alpha=0.4, color='b', align="center")
autolabel(rects)
rects[0].set_color('g')
rects[1].set_color('r')
rects[2].set_color('y')
rects[3].set_color('0.5')
plt.savefig(filename)
plt.clf()
plt.close()
def plot(self, filename):
xaxis = range(5)
self.pleasantness, self.attention, self.sensitivity, self.aptitude, self.polarity
bars = [self.pleasantness, self.attention, self.sensitivity, self.aptitude, self.polarity]
labels = ["pleasantness", "attention", "sensitivity", "aptitude", "polarity"]
minY = 0
maxY = 0
for y in bars:
if y > maxY:
maxY = y
if y < minY:
minY = y
fig = plt.figure(figsize=(8, 6))
plt.subplots_adjust(bottom=0.18, left=0.05, right=0.95, top=0.95)
plt.ylim([minY,maxY])
plt.xticks(xaxis, labels, rotation='vertical', size='small', ha='center')
plt.axhline(0, color='black')
rects = plt.bar(xaxis, bars, 0.5, alpha=0.4, color='b', align="center")
autolabel(rects)
rects[0].set_color('b')
rects[1].set_color('r')
rects[2].set_color('m')
rects[3].set_color('g')
rects[4].set_color('y')
plt.savefig(filename)
plt.clf()
plt.close()
def plot(self, filename):
xaxis = range(4)
bars = [self.positiveTotal, self.negativeTotal, self.neutralTotal, self.naTotal]
labels = ["positive", "negative", "neutral", "unsure"]
minY = 0
maxY = 0
for y in bars:
if y > maxY:
maxY = y
if y < minY:
minY = y
fig = plt.figure(figsize=(8, 6))
plt.subplots_adjust(bottom=0.15, left=0.10, right=0.90, top=0.95)
plt.ylim([minY,maxY])
plt.xticks(xaxis, labels, rotation='vertical', size='small', ha='center')
rects = plt.bar(xaxis, bars, 0.5, alpha=0.4, color='b', align="center")
autolabel(rects)
rects[0].set_color('g')
rects[1].set_color('r')
rects[2].set_color('y')
rects[3].set_color('0.5')
plt.savefig(filename)
plt.clf()
plt.close()
def _add_to_autolabel(text, center=False):
if not isinstance(text, (str, unicode)):
return
ret = u(autolabel()).split('\n')
ret.insert(1, text)
ret = '\n'.join(ret).rstrip('\n')
if center:
ret = ('<div align="center" '
'style="margin:0px;padding:0px">{}</div>').format(ret)
return ret
p_list[participant] = []
for month, stat in stats.items():
for participant in participants:
try:
p = stat[participant]
except:
p = 0
p_list[participant].insert(0, p)
m_list.insert(0, month)
ind = np.arange(len(m_list)) * (1 + width * len(participants))
i = int((1 - len(participants)) / 2)
for participant in participants:
p = plt.bar(ind + width * (i - 1 / 2), p_list[participant], width)
autolabel(p)
plots.append(p[0])
i = i + 1
plt.ylabel('Messages')
plt.title('Messages per month')
plt.xticks(ind, m_list)
plt.legend(plots, participants)
total = 0
for participant in participants:
sub = sum(p_list[participant])
print(participant.ljust(participant_name_len_max + 1) + str(sub))
total = total + sub
print()
print("Total messages: " + str(total))
plt.show()
