import matplotlib.pyplot as plt
from matplotlib.path import Path
import matplotlib.patches as patches
from matplotlib.transforms import Affine2D
#Different sets of dots
#=========================================================
#standard vertices for bar
#------------
#bottom
#leftside
#top
#rightside
#-----------
verts = [
(0., 0.),
(1.,0.),
(1., 2.),
(0., 2.),
(0., 0.),
]
plt.clf()
fig = plt.figure()
ax = fig.add_subplot(111)
step=0 #set first step at zero
heights=[1,2,3,3,1] #set list of heights for each step
for h in heights:
#Move and Scale the Verts
height=h
translated_verts=Affine2D().translate(step,0).transform(verts)
translated_verts=Affine2D().scale(1,height).transform(translated_verts)
step=step+1
#How we will Connect the Dots
#==========================================================
#How we will link together these vertices
codes = [Path.MOVETO,
Path.LINETO,
Path.LINETO,
Path.LINETO,
Path.CLOSEPOLY,
]
#Creating the paths from dot to dot
#===========================================================
path = Path(verts, codes)
trspath=Path(translated_verts,codes)
#plot shapes created by connecting dots
#============================================================
translatedpatch=patches.PathPatch(trspath,facecolor='green',alpha=0.9,lw=3,edgecolor='black')
ax.add_patch(translatedpatch)
plt.ylabel("amount of apples")
plt.xlabel("height of tree")
plt.title("Harvest")
ax.set_xlim(0,6)
ax.set_ylim(0,10)
Thursday, September 13, 2012
How to make your own custom bar graph
Labels:
Graphs
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