I have an Excel file, and I need to grab some data from it. When I use regular integers, everything works just fine, but now I got very stuck - how can I change row value? That's what I have for now
dict_keys = ['Id', 'First name', 'Age', 'Condition Name', 'BiRad', 'Relevant Modality']
dict_values = [p_id, person_name, p_age, name, br, r]
if f == 'Mass':
#concatvals accepts (row, col, width, start, stop)
shape = concatvals(row, 14, 5, 14, 19) #if row = 0
margin = concatvals(row, 14, 5, 14, 19) #here row should be 1
density = concatvals(row, 14, 5, 14, 19) # and here 2 - how to achieve that?
dict_keys += ['Relevant Finding','Shape', 'Margin', 'Density']
dict_values += [f, shape, margin, density]
And that's what I tried:
if f == 'Mass':
params = [shape, margin, density]
loc = (row, 14, 5, 14, 19)
for param in params:
params[i] = concatvals(loc)
loc[0] +=1
But didn't succeed to go further. Any suggestions? Thanks!
Make row
a loop parameter, and save the calculated values in an array:
dict_keys = ['Id', 'First name', 'Age', 'Condition Name', 'BiRad', 'Relevant Modality']
dict_values = [p_id, person_name, p_age, name, br, r]
#concatvals accepts (row, col, width, start, stop)
vals = []
for row in range(3):
vals += concatvals(row, 14, 5, 14, 19)
dict_keys += ['Relevant Finding','Shape', 'Margin', 'Density']
dict_values += [f]
dict_values += vals
Its a bit confusion you use dict__
for things which are not a dict, but a list... If I understand what you want I would arrive at this:
params = {'Mass': ['shape', 'margin', 'density'],
'Next': ['some', 'other', 'list']}
if f == 'Mass':
loc = (row, 14, 5, 14, 19)
result = [f]
for param in params[f]:
result.append(concatvals(loc))
loc[0] +=1
dict_keys += ['Relevant Finding','Shape', 'Margin', 'Density']
dict_values += result
elif f == 'Next':
... etc ...
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