I tried the below code to get the background_gradient plot for each diabetes_group. It is giving me only plot for the last group in the plot. How to get background_gradiant for all the groups in Diabetes_Group with group name on the top ?

df

Diabetes_Group  DM-1    DM-2    corr
Group1  56  56  1
Group1  56  58  0.611
Group1  56  61  0.448
Group1  56  63  0.3587
Group1  58  56  0.611
Group1  58  58  1
Group1  58  61  0.60113
Group1  58  63  0.534858
Group1  61  56  0.448
Group1  61  58  0.60113
Group1  61  61  1
Group1  61  63  0.622206
Group1  63  56  0.3587
Group1  63  58  0.534858
Group1  63  61  0.622206
Group1  63  63  1
Group2  78  78  1
Group2  78  85  0.622703
Group2  78  94  0.622244
Group2  78  23  0.687826
Group2  85  78  0.622703
Group2  85  85  1
Group2  85  94  0.697313
Group2  85  23  0.612089
Group2  94  78  0.622244
Group2  94  85  0.697313
Group2  94  94  1
Group2  94  23  0.603834
Group2  23  78  0.687826
Group2  23  85  0.612089
Group2  23  94  0.603834
Group2  23  23  1
Group3  27  27  1
Group3  27  80  0.118955
Group3  27  147 0.32038
Group3  27  9   0.335264
Group3  80  27  0.118955
Group3  80  80  1
Group3  80  147 0.430287
Group3  80  9   0.406426
Group3  147 27  0.32038
Group3  147 80  0.430287
Group3  147 147 1
Group3  147 9   0.546452
Group3  9   27  0.335264
Group3  9   80  0.406426
Group3  9   147 0.546452
Group3  9   9   1

Code I tried

corr_matrix = []

for x, group in df.groupby('diabetes_group'):
    matrix = group[["diabetes_group", 'DM-1', 'DM-2', 'corr']]
    matrix_pivot = pd.pivot_table(matrix, values = 'corr', index=['DM-1'], columns=['DM-2'])
    d = matrix_pivot.style.background_gradient(cmap='Set3')