How to count number of characters in string for the column values and group rows by count of those as a result using pandas?

Question

I have .csv file with column name:

id    name
1    sample1
2    sample3
3    sample four
4    sample.five
5    sample.six.com

I need to print result as below (ordered by number of rows descending):

chars(str_len_count)    rows(id_count)
  7                          2
 11                          2
 14                          1

I've tried the below, but this is not really what I'm looking for:

In [106]:
df['NAME_Count'] = df['name'].str.len()
df

Out[106]:
       name        NAME_Count
0     sample1        7

Answer 1

First new column is not necessary, you can pass str.len to groupby and use GroupBy.size for count:

df1 = df.groupby(df['name'].str.len().rename('chars')).size().reset_index(name='id_count')
print (df1)
   chars  id_count
0      7         2
1     11         2
2     14         1

If want first create new column solution is a bit changed:

df['NAME_Count'] = df['name'].str.len()
df1 = df.groupby('NAME_Count').size().reset_index(name='count')