A         B
0   1  0.810743
1   2  0.595866
2   3  0.154888
3   4  0.472721
4   5  0.894525
5   6  0.978174
6   7  0.859449
7   8  0.541247
8   9  0.232302
9  10  0.276566

dfb = df[df['A']==5].index.values.astype(int)
dfbb = df[df['A']==8].index.values.astype(int)
df.loc[dfb:dfbb,'B']

A         B
4   5  0.894525
5   6  0.978174
6   7  0.859449

dfb = df[df['A']==5].index.values.astype(int)[0]
dfbb = df[df['A']==8].index.values.astype(int)[0]

dfb = int(df[df['A']==5].index[0])
dfbb = int(df[df['A']==8].index[0])

dfb = next(iter(df[df['A']==5].index), 'no match')
print (dfb)
4

dfb = next(iter(df[df['A']==50].index), 'no match')
print (dfb)
no match

print (df.loc[dfb:dfbb-1,'B'])
4    0.894525
5    0.978174
6    0.859449
Name: B, dtype: float64

print (df[(df['A'] >= 5) & (df['A'] < 8)])
   A         B
4  5  0.894525
5  6  0.978174
6  7  0.859449

print (df.loc[(df['A'] >= 5) & (df['A'] < 8), 'B'])
4    0.894525
5    0.978174
6    0.859449
Name: B, dtype: float64

print (df.query('A >= 5 and A < 8'))
   A         B
4  5  0.894525
5  6  0.978174
6  7  0.859449

df[df['A']==5].index.item()

i5, i8 = df.index.searchsorted([df.A.eq(5).idxmax(), df.A.eq(8).idxmax()])
df.iloc[i5:i8]

def find_between(df, col, v1, v2):
    vals = df[col].values
    mx1, mx2 = (vals == v1).argmax(), (vals == v2).argmax()
    idx = df.index.values
    i1, i2 = idx.searchsorted([mx1, mx2])
    return df.iloc[i1:i2]

find_between(df, 'A', 5, 8)