(df[education]=='9th').sum()
df['Counts'] = df.groupby(['Color'])['Value'].transform('count')
df['sex'].value_counts()
df['sex'].value_counts(normalize=True)
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
df['fare'].value_counts(bins=7)