Sure!

Is this what you meant?:

```
psychopy.data.TrialHandler(
data={'ran': masked_array(
data=[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],
mask=[[False, False, False, False, False, False, False, False, False,
False],
[False, False, False, False, False, False, False, False, False,
False],
[False, False, False, False, False, False, False, False, False,
False]],
fill_value=1e+20,
dtype=float32), 'order': masked_array(
data=[[--, --, --, --, --, --, --, --, --, --],
[--, --, --, --, --, --, --, --, --, --],
[--, --, --, --, --, --, --, --, --, --]],
mask=[[ True, True, True, True, True, True, True, True, True,
True],
[ True, True, True, True, True, True, True, True, True,
True],
[ True, True, True, True, True, True, True, True, True,
True]],
fill_value=1e+20,
dtype=float32)}
autoLog=True
extraInfo=<class 'dict'>
finished=False
method=sequential
nRemaining=30
nReps=10
nTotal=30
name=
origin=<class 'str'>
originPath=<class 'str'>
seed=None
sequenceIndices=<class 'numpy.ndarray'>
thisIndex=0
thisN=-1
thisRepN=0
thisTrial=[]
thisTrialN=-1
trialList=<class 'list'>
)
```

I’ve also printed trialList and this is what it looks like:

```
[OrderedDict([('self_lie', 15), ('self_truth', 10), ('other_lie', 3), ('other_truth', 9), ('resp', 0), ('response_SOLO_keys', 2), ('door_truth_SOLO', 2), ('door_lie_SOLO', 3), ('door_empty1_SOLO', 1), ('door_empty2_SOLO', 4), ('sender_id', '0'), ('receiver_id', 'onl')]), OrderedDict([('self_lie', 25), ('self_truth', 11), ('other_lie', 12), ('other_truth', 37), ('resp', 99), ('response_SOLO_keys', 2), ('door_truth_SOLO', 3), ('door_lie_SOLO', 4), ('door_empty1_SOLO', 2), ('door_empty2_SOLO', 1), ('sender_id', 'onl'), ('receiver_id', '999')]), OrderedDict([('self_lie', 20), ('self_truth', 10), ('other_lie', 6), ('other_truth', 17), ('resp', 0), ('response_SOLO_keys', 2), ('door_truth_SOLO', 2), ('door_lie_SOLO', 1), ('door_empty1_SOLO', 3), ('door_empty2_SOLO', 4), ('sender_id', 'def'), ('receiver_id', 'def')])]
```

which is essentially my csv file (so looks promising!) though I don’t know how to search within it (as a reminder, I want to search within the column ‘receiver_id’ for a cell equal to the participant’s id as it appears in expInfo)