How to search substructures with explicit hydrogen in RDKit?

If you work in a Jupyter Notebook you can visualize your substructure patterns and the search results, so you can see how the patterns work.

from rdkit import Chem
from rdkit.Chem import Draw

smiles = ['CC1=CC=CC=C1','CC1=C([H])C([H])=C([H])C([H])=C1[H]',
          'C1(C2=CC=CC=C2)=CC=CC=C1','C12=C(CC3=CC=CC=C3C2)C=CC=C1',
          'C12=CC=CC=C1C=C3C(C=CC=C3)=C2','C12=C(C(C(C=C3)=CC=C4)=C4C=C2)C3=CC=C1']

params = Chem.SmilesParserParams()
params.removeHs=False # draw and work with explicit Hs
mols = [Chem.MolFromSmiles(s, params) for s in smiles]
Draw.MolsToGridImage(mols, molsPerRow=3)

This will give you the compounds and especially the one with the explicit Hs.

Now we get the patterns and especially the one with the explicit Hs.

patt1 = Chem.MolFromSmiles('CC1=CC=CC=C1')
patt2 = Chem.MolFromSmiles('CC1=C([H])C([H])=C([H])C([H])=C1[H]', params) # search with explicit Hs
patt3 = Chem.MolFromSmiles('Cc1ccccc1')
patt4 = Chem.MolFromSmarts('Cc1ccccc1')
patt5 = Chem.MolFromSmarts('[cR1]1[cR1][cR1][cR1][cR1][cR1]1-[c,C]')

patts = [patt1,patt2,patt3,patt4,patt5]
leg = ['CC1=CC=CC=C1','CC1=C([H])C([H])=C([H])C([H])=C1[H]','Cc1ccccc1 smiles',
       'Cc1ccccc1 smarts','[cR1]1[cR1][cR1][cR1][cR1][cR1]1-[c,C]']
Draw.MolsToGridImage(patts, molsPerRow=3, legends=leg)

Search and highlight the result.

ms = []
patt = []
allsubs = []
for m in range(len(mols)):
    for p in range(len(patts)):
        sub = mols[m].GetSubstructMatches(patts[p])
        if len(sub) > 0:
            ms.append(mols[m])
            patt.append(leg[p])
            allsubs.append(sub[0]) # substructures could be find multiple time - just take the first

Draw.MolsToGridImage(ms, molsPerRow=3, legends=patt, highlightAtomLists=allsubs)

Compounds 5 and 6 have no nonaromatic bonds, so there is nothing to find.