pandas count specific value in column

1(df[education]=='9th').sum()
2

1df['sex'].value_counts()
2

1df['Counts'] = df.groupby(['Color'])['Value'].transform('count')

1df['sex'].value_counts(normalize=True)
2

1print df
2  col1 education
30    a       9th
41    b       9th
52    c       8th
6
7print df.education == '9th'
80     True
91     True
102    False
11Name: education, dtype: bool
12
13print df[df.education == '9th']
14  col1 education
150    a       9th
161    b       9th
17
18print df[df.education == '9th'].shape[0]
192
20print len(df[df['education'] == '9th'])
212

1df['fare'].value_counts(bins=7)
2