Why do seaborn.dist and pyplot.hist generate two different looking histograms on the same data?

I'm looking at telecom customers data. Two of the variables I'm looking at currently are:

• Monthly Charges - The total amount charged to the customer monthly.
• Is Senior Citizen - Whether the customer is a senior citizen.

I'm trying to plot two histograms to see if the distributions for non-senior and senior citizens is different.

If I use seaborn's distplot then I get the following result

And if I use pyplot hist then I get the following result

In the first plot the blue one towers above the orange ones in the range ~70-120 whereas in the second image the blue one always stays below the orange one.

What is the difference between these two?

• add density=True argument to the call to plt.hist Jul 30 '19 at 11:13

Those plotting functions pyplot.hist, seaborn.countplot, and seaborn.displot are all helper tools to plot the frequency of a single variable. Depending on the nature of this variable they may be more or less suitable for visualization.
All functions pyplot.hist, seaborn.countplot, and seaborn.displot act as wrappers for a matplotlib bar plot and may be used if manually plotting such bar plot is considered too cumbersome.
For continuous variables, a pyplot.hist or seaborn.distplot may be used. For discrete variables, a seaborn.countplot is more convenient.