from mpl_toolkits.axes_grid1 import make_axes_locatable
import matplotlib.pyplot as plt
from matplotlib import cm
import seaborn as sns #optional
import numpy as np
import pandas as pd

bar1 = [0, 100.0, 100.0, 100.0, 0]
bar2 = [0, 75.0, 100.0, 75.0, 0]
bar3 = [0, 62.5, 87.5, 62.5, 0]
bar4 = [0, 53.125, 75.0, 53.125, 0]

df_1 = pd.DataFrame( (np.array( bar1 )) )
df_2 = pd.DataFrame( (np.array( bar2 )) )
df_3 = pd.DataFrame( (np.array( bar3 )) )
df_4 = pd.DataFrame( (np.array( bar4 )) )

for i in range(1,5):

    ax = plt.subplot( )
    im = ax.imshow( eval('df_{}.transpose()'.format(i)), cmap=cm.jet, interpolation='nearest', vmin=0, vmax=100 )
    divider = make_axes_locatable( ax )
    cax = divider.append_axes( "right", size="5%", pad=0.05 )
    cb = plt.colorbar(im, cax=cax)
    cb.set_label('Temp deg C')
    ax.xaxis.set_major_formatter(plt.NullFormatter())
    ax.yaxis.set_major_formatter(plt.NullFormatter())
    plt.show(  )