boxplot and histogram of the tips grouped by the day

# Create a boxplot of the tips grouped by the day
time_groups = tips_data.groupby(['day'])
sun_time = time_groups.get_group('Sun')
sat_time = time_groups.get_group('Sat')
thur_time = time_groups.get_group('Thur')
fri_time = time_groups.get_group('Fri')

col1 = sun_time['tip']
col2 = sat_time['tip']
col3 = thur_time['tip']
col4 = fri_time['tip']
DF = pd.DataFrame({'sunday': col1, 'saturday': col2, 'thursday' : col3, 'friday': col4})
ax = DF[['sunday', 'saturday', 'thursday', 'friday']].plot(kind='box', title='boxplot', showmeans=True)
plt.show()

# Create a histogram of the tips grouped by the day
g = sns.FacetGrid(tips_data, row = 'day')
g = g.map(plt.hist, 'tip')

################################################################
'''
 bp = sns.boxplot(data=da.loc[:, ["BPXSY1", "BPXSY2", "BPXDI1", "BPXDI2"]])
 bp.set_ylabel("Blood pressure in mm/Hg")
'''

#################################################################
sns.boxplot(x = df['Branch'], y = df['gross income'])

plt.boxplot([op1["Length"], op2["Length"]])
plt.xlabel("Op-1 and Op-2")
plt.ylabel("Length in mm")
plt.title("Plot Length in Op-1 and Op-2")
plt.show()