genres=pandas.DataFrame(all_by_week['BoxOffice'].mean()/norm1) genres.columns=['All Genres'] genres=genres.join(fantasy_by_week['BoxOffice'].mean()/norm2) genres.columns=['All Genres','Fantasy'] genres=genres.join(animation_by_week['BoxOffice'].mean()/norm3) genres.columns=['All Genres','Fantasy','Animation'] genres=genres.join(romance_by_week['BoxOffice'].mean()/norm4) genres.columns=['All Genres','Fantasy','Animation','Romance'] genres=genres.fillna(0) columns_name = ['All Genres','Fantasy','Animation','Romance'] genres.columns = [ 0, 4, 8, 12] x, y, z = genres.stack().reset_index().values.T #print genres.stack().reset_index().values.T #debug #print genres#debug app = vv.use() f = vv.clf() a = vv.cla() plot =vv.bar3(x, y, z) plot.colors = ["b","g","y","r"] * 53 a.axis.xLabel = 'Week #' a.axis.yTicks = dict(zip(genres.columns, columns_name)) a.axis.zLabel = 'Avg BoxOffice (Aribitrary Units)' app.Run()
if axes is None:
axes = vv.gca()
# Create Bars instance
bars = Bars3D(axes)
# Create boxes
for x, y, h in zip(xx, yy, hh):
pos = (x, y, h / 2.0)
scale = (width, width, h)
m = vv.solidBox(pos, scale, axesAdjust=False, axes=bars)
m.specular = 0
# Adjust axes
if axesAdjust:
if axes.daspectAuto is None:
axes.daspectAuto = False
axes.cameraType = '3d'
axes.SetLimits()
# Done
axes.Draw()
return bars
if __name__ == '__main__':
a = vv.gca()
b = vv.bar3([1, 2, 3, 2, 4, 3], width=0.5)
a.axis.showGrid = 1
a.axis.xTicks = ['Januari', 'Februari', 'March', 'April', 'May', 'June']
b.colors = 'rgbcmy'
norm3 = animation_by_week['BoxOffice'].mean().max() / 30 norm4 = romance_by_week['BoxOffice'].mean().max() / 30 genres = pandas.DataFrame(all_by_week['BoxOffice'].mean() / norm1) genres.columns = ['All Genres'] genres = genres.join(fantasy_by_week['BoxOffice'].mean() / norm2) genres.columns = ['All Genres', 'Fantasy'] genres = genres.join(animation_by_week['BoxOffice'].mean() / norm3) genres.columns = ['All Genres', 'Fantasy', 'Animation'] genres = genres.join(romance_by_week['BoxOffice'].mean() / norm4) genres.columns = ['All Genres', 'Fantasy', 'Animation', 'Romance'] genres = genres.fillna(0) columns_name = ['All Genres', 'Fantasy', 'Animation', 'Romance'] genres.columns = [0, 4, 8, 12] x, y, z = genres.stack().reset_index().values.T #print genres.stack().reset_index().values.T #debug #print genres#debug app = vv.use() f = vv.clf() a = vv.cla() plot = vv.bar3(x, y, z) plot.colors = ["b", "g", "y", "r"] * 53 a.axis.xLabel = 'Week #' a.axis.yTicks = dict(zip(genres.columns, columns_name)) a.axis.zLabel = 'Avg BoxOffice (Aribitrary Units)' app.Run()
# Create Bars instance
bars = Bars3D(axes)
# Create boxes
for x,y,h in zip(xx,yy, hh):
pos = (x,y,h/2.0)
scale = (width,width,h)
m = vv.solidBox(pos, scale, axesAdjust=False, axes=bars)
m.specular = 0
# Adjust axes
if axesAdjust:
if axes.daspectAuto is None:
axes.daspectAuto = False
axes.cameraType = '3d'
axes.SetLimits()
# Done
axes.Draw()
return bars
if __name__ == '__main__':
a = vv.gca()
b = vv.bar3([1,2,3,2,4,3], width=0.5)
a.axis.showGrid = 1
a.axis.xTicks = ['Januari', 'Februari', 'March', 'April', 'May', 'June']
b.colors = 'rgbcmy'
# Calculate means mean = lambda x: sum(x)/len(x) mean_temps_per_month = [mean(tt) for tt in temps_per_month] # Prepare figure vv.figure(1); vv.clf() # Show means in a normal bar chart a1 = vv.subplot(221); b2 = vv.bar(mean_temps_per_month) b2.color = 'r' # Show means in a 3D bar chart a2 = vv.subplot(222); b3 = vv.bar3(mean_temps_per_month) b3.color = 'g' a2.daspect = 1,1,0.3 # Show box plot a3 = vv.subplot(223) bp = vv.boxplot(temps_per_month) bp.lc = 'b' bp.lw = 2 # Show violin plot a4 = vv.subplot(224) vp = vv.boxplot(temps_per_month, whiskers='violin') vp.lc = 'm' vp.lw = 3
# Calculate means mean = lambda x: sum(x) / len(x) mean_temps_per_month = [mean(tt) for tt in temps_per_month] # Prepare figure vv.figure(1) vv.clf() # Show means in a normal bar chart a1 = vv.subplot(221) b2 = vv.bar(mean_temps_per_month) b2.color = 'r' # Show means in a 3D bar chart a2 = vv.subplot(222) b3 = vv.bar3(mean_temps_per_month) b3.color = 'g' a2.daspect = 1, 1, 0.3 # Show box plot a3 = vv.subplot(223) bp = vv.boxplot(temps_per_month) bp.lc = 'b' bp.lw = 2 # Show violin plot a4 = vv.subplot(224) vp = vv.boxplot(temps_per_month, whiskers='violin') vp.lc = 'm' vp.lw = 3
