Objective: To generate 100 barplots using a for loop, and display the output as a subplot image
Data format: Datafile with 101 columns. The last column is the X variable; the remaining 100 columns are the Y variables, against which x is plotted.
Desired output: Barplots in 5 x 20 subplot array, as in this example image: 
Current approach: I've been using PairGrid in seaborn, which generates an n x 1 array: 
.
where input == dataframe; input3 == list from which column headers are called:
for i in input3:
plt.figure(i)
g = sns.PairGrid(input,
x_vars=["key_variable"],
y_vars=i,
aspect=.75, size=3.5)
g.map(sns.barplot, palette="pastel")
Does anyone have any ideas how to solve this?