Write a function called facet_hist(). This function should accept five arguments:

def create_data(n, n_groups): groups = np.random.randint(0, n_groups, n) data = np.sin(groups) + np.random.randn(n) return(groups, data)

1. groups, the np.array of group labels as output by create_data().
2. data, the np.array of data as output by create_data().
3. m_rows, the number of desired rows in your faceted histogram (explanation coming).
4. m_cols, the number of desired columns in your faceted histogram (explanation coming).
5. figsize, the size of the figure.

Your function will create faceted histograms -- that is, a separate axis and histogram for each group. For example, if there are six groups in the data, then you should be able to use the code

groups, data = create_data(1000, 6) facet_hist(groups, data, m_rows = 2, m_cols = 3, figsize = (6,4))