pandas count specific value in column

df['sex'].value_counts()

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

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

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

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

print df
  col1 education
0    a       9th
1    b       9th
2    c       8th

print df.education == '9th'
0     True
1     True
2    False
Name: education, dtype: bool

print df[df.education == '9th']
  col1 education
0    a       9th
1    b       9th

print df[df.education == '9th'].shape[0]
2
print len(df[df['education'] == '9th'])
2

#using the .count() function where the occurence of an element you 
#want to find is the thing in the paranthesis
lista = [1,1,2,3,4,5]
print(lista.count(1))
# will return 2