def run(self, tps, snap, data, para=None):
plt = self.app.show_plot(para['title'])
data[para['cn']].plot(lw=para['lw'],
grid=para['grid'],
title=para['title'],
ax=plt.add_subplot())
plt.Show()
def run(self, tps, snap, data, para=None):
plt = self.app.show_plot(para['title'])
data[para['cn']].plot.box(by=None,
vert=~para['hor'],
grid=para['grid'],
title=para['title'],
ax=plt.add_subplot())
plt.Show()
def run(self, tps, snap, data, para=None):
plt = self.app.show_plot(para['title'])
data[para['cn']].plot.area(stacked=para['stack'],
alpha=para['alpha'],
grid=para['grid'],
title=para['title'],
ax=plt.add_subplot())
plt.Show()
def run(self, tps, snap, data, para=None):
plt = self.app.show_plot(para['title'])
if para['dir']:
data[para['cn']].plot.barh(stacked=para['stack'],
grid=para['grid'],
title=para['title'],
ax=plt.add_subplot())
else:
data[para['cn']].plot.bar(stacked=para['stack'],
grid=para['grid'],
title=para['title'],
ax=plt.add_subplot())
plt.Show()
def run(self, tps, snap, data, para=None):
plt = self.app.show_plot(para['title'])
if para['overlay']:
data[para['cn']].plot.hist(stacked=para['stack'],
bins=para['bins'],
alpha=para['alpha'],
orientation=para['dir'],
grid=para['grid'],
title=para['title'],
ax=plt.add_subplot())
else:
data[para['cn']].hist(stacked=para['stack'],
bins=para['bins'],
alpha=para['alpha'],
orientation=para['dir'],
grid=para['grid'],
ax=plt.add_subplot())
plt.Show()
def run(self, tps, snap, data, para=None):
rs = data[
para['rs']] * para['s'] if para['rs'] != 'None' else para['s']
cs = data[para[
'cs']] if para['cs'] != 'None' else '#%.2x%.2x%.2x' % para['c']
cm = ColorManager.get(para['cm']) / 255.0
cm = None if para['cs'] == 'None' else colors.ListedColormap(cm, N=256)
plt = self.app.show_plot(para['title'])
data.plot.scatter(x=para['x'],
y=para['y'],
s=rs,
c=cs,
alpha=para['alpha'],
cmap=cm,
grid=para['grid'],
title=para['title'],
ax=plt.add_subplot())
plt.Show()
def run(self, tps, snap, data, para=None):
plt = self.app.show_plot(para['title'])
data[para['cn']].plot.pie(subplots=True,
title=para['title'],
ax=plt.add_subplot())
plt.Show()
