hist_dist.py

# Create a list of 1000 Normal RVs
x = np.random.normal(size=1000)

sns.set_context("poster")
sns.set_style("ticks")
# This  Function creates a normed Histogram by default.
# If we use the parameter kde=False and norm_hist=False then
# we will be using a count histogram

g=sns.distplot(x,
         	kde_kws={"color":"g","lw":4,"label":"KDE Estim","alpha":0.5},
            hist_kws={"color":"r","alpha":0.3,"label":"Freq"})


# remove the top and right line in graph
sns.despine()

# Set the size of the graph from here
g.figure.set_size_inches(12,7)
# Set the Title of the graph from here
g.axes.set_title('Normal Simulation', fontsize=34,color="b",alpha=0.3)
# Set the xlabel of the graph from here
g.set_xlabel("X",size = 67,color="g",alpha=0.5)
# Set the ylabel of the graph from here
g.set_ylabel("Density",size = 67,color="r",alpha=0.5)
# Set the ticklabel size and color of the graph from here
g.tick_params(labelsize=14,labelcolor="black")