I would like to group some data, and:

1. sort groups by size
2. drop the size less then 3 groups.

In below sample, I would like to get the group with order z, y since size of z is 4 and size of y is 3. but drop x since it’s size is 2.

import pandas as pd

data = [
    ['x', 1],
    ['y', 5],
    ['z', 1],
    ['x',43],
    ['y', 22],
    ['z', 2],
    ['y', 31],
    ['z', 3],
    ['z', 4],
    
]
df = pd.DataFrame(data, columns=['name', 'value'])
print(df)
dfg = df.groupby('name')
for name,df in dfg:
    print(name)
    print(df)

Current output:

  name  value
0    x      1
1    y      5
2    z      1
3    x     43
4    y     22
5    z      2
6    y     31
7    z      3
8    z      4
x
  name  value
0    x      1
3    x     43
y
  name  value
1    y      5
4    y     22
6    y     31
z
  name  value
2    z      1
5    z      2
7    z      3
8    z      4

expected:

  name  value
2    z      1
5    z      2
7    z      3
8    z      4
  name  value
1    y      5
4    y     22
6    y     31
z