import plotly
import random
plotly.offline.init_notebook_mode()

colorscale = [[0, '#454D59'],[0.5, '#FFFFFF'], [1, '#F1C40F']]

x = [2015, 2016, 2017]
y = ['March', 'February', 'January', 'December', 'November', 'October', 'September', 'August', 'July', 'June', 'May', 'April']
z = [[i + random.random() for i in range(len(x))] for ii in range(len(y))]

hovertext = list()
for yi, yy in enumerate(y):
    hovertext.append(list())
    for xi, xx in enumerate(x):
        hovertext[-1].append('FY: {}
Month: {}
Count: {}'.format(xx, yy, z[yi][xi]))

data = [plotly.graph_objs.Heatmap(z=z,
                                  colorscale=colorscale,
                                  x=x,
                                  y=y,
                                  hoverinfo='text',
                                  text=hovertext)]

layout = plotly.graph_objs.Layout(autosize=False,
                                  font=dict(family="Courier New"),
                                  width=700,
                                  height=450,
                                  margin=plotly.graph_objs.Margin(l=150,
                                                                  r=160,
                                                                  b=50,
                                                                  t=100,
                                                                  pad=3)
                                 )

fig = plotly.graph_objs.Figure(data=data, layout=layout)
plotly.offline.iplot(fig,filename='pandas-heatmap')