Hi Taka and Jan,

 

Thanks for your help.

Worked out that I shouldn’t have added the names=[] when I read in my csv file 
(woops).

 

It fails if you have a mol which is None, I’ll have to add a line asking it to 
check that ROMol isn’t None first.  Annoying.

 

Thanks for your help,

 

mike

 

From: Taka Seri <[email protected]> 
Sent: 31 October 2019 10:15
To: Jan Halborg Jensen <[email protected]>
Cc: Mike Mazanetz <[email protected]>; RDKit Discuss 
<[email protected]>
Subject: Re: [Rdkit-discuss] calculating molecular properties on a Pandas 
dataframe Molecule

 

Hi,

 

Pandas apply function will work too.

AddMoleculeColumnToFrame(DF, "Smiles") at first.

Default setting, rdkit mol object will be added "ROMol" column in your 
dataframe.

https://www.rdkit.org/docs/source/rdkit.Chem.PandasTools.html

 

Then call apply function to apply a calculation function an axis of ROMol.

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.apply.html

 DF['HAC'] = DF["ROMol"].apply(Chem.Lipinski.HeavyAtomCount)

Best regards,

Taka

2019年10月31日(木) 18:30 Jan Halborg Jensen <[email protected] 
<mailto:[email protected]> >:

Hi Mike

 

This should work

 

DF[‘HAC’] = [Chem.Lipinski.HeavyAtomCount(mol) for mol in DF[‘Molecule’]]

 

Best regards, Jan

 





On 31 Oct 2019, at 10.16, Mike Mazanetz <[email protected] 
<mailto:[email protected]> > wrote:

 

Hi RDKit Gurus,

 

I’ve followed the docs and created a molecule column in my Pandas dataframe.

However, I do not seem to be able to do molecular operations on the column.

 

For example, if you had a SMILES column, how would you calculate heavy atom 
count and append this result to a new column?

 

This doesn’t work:

DF[‘HAC’] = Chem.Lipinski.HeavyAtomCount(DF[‘Molecule’])

 

Where the Molecule column is generated by PandasTools.AddMoleculeColumnToFrame

 

Thanks,

mike

 

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