How to make your own custom bar graph

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)

How to Draw in Python 2

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
verts = [
    (0., 0.),
    (0., 4.),
    (1., 1.),
    (4., 0.),
    (0., 0.),
    ]

#rotated vertices
rotated_verts=Affine2D().rotate_deg(60).transform(verts)

#scale vertices
scaled_verts=Affine2D().scale(0.5,0.5).transform(verts)

#translated vertices
translated_verts=Affine2D().translate(2,2).transform(verts)

#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)
rotpath=Path(rotated_verts,codes)
sclpath=Path(scaled_verts,codes)
trspath=Path(translated_verts,codes)






#plot shapes created by connecting dots
#============================================================
plt.clf()
fig = plt.figure()
ax = fig.add_subplot(111)

patch = patches.PathPatch(path, facecolor='green', lw=2,edgecolor='black',alpha=0.5)
rotatedpatch=patches.PathPatch(rotpath,facecolor='blue',lw=2,edgecolor='black',alpha=0.5)
scaledpatch=patches.PathPatch(sclpath,facecolor='red',lw=2,edgecolor='black',alpha=0.5)
translatedpatch=patches.PathPatch(trspath,facecolor='yellow',lw=1,edgecolor='black',alpha=0.5)


ax.add_patch(patch)
ax.add_patch(rotatedpatch)
ax.add_patch(scaledpatch)
ax.add_patch(translatedpatch)


ax.set_xlim(-5,5)
ax.set_ylim(-5,5)
plt.show()

This will give the figure below:

How to Draw in Python

import matplotlib.pyplot as plt
from matplotlib.path import Path
import matplotlib.patches as patches

verts = [
    (0., 0.), 
    (0., 4.), 
    (1., 1.), 
    (4., 0.), 
    (0., 0.), 
    ]

codes = [Path.MOVETO,
         Path.LINETO,
         Path.LINETO,
         Path.LINETO,
         Path.CLOSEPOLY,
         ]

sqpath = Path(verts, codes)
plt.clf()
fig = plt.figure()
ax = fig.add_subplot(111)
sqpatch = patches.PathPatch(sqpath, facecolor='green', lw=2)
ax.add_patch(sqpatch)
ax.set_xlim(-5,5)
ax.set_ylim(-5,5)
plt.show()

this will output the figure below: