thank you for your help.
I am working with Orange3 (and loving it)... I am aggregating large amounts of data and processing it for normalization, formatting and logical analysis.
I am using python to manipulate data in fields.
Here is a code snip:
new_data = in_data.copy()
for d in new_data:
for f in d.domain.attributes:
#print(f)
if f.name == "Phone":
counter+=1
inan = np.isnan(d["Phone"])
print("NaN Check: " + str(inan))
fph = str(phone_format(d["Phone"].value))
print(str(counter) + ": " + fph)
d[f]["Phone"]=str(fph)
TypeError: 'Value' object does not support item assignment
This is the offending line of code: d[f]["Phone"]=str(fph)
Will someone kindly advise me of the correct? and pythonic (if possible) way to update the specific field during an iterative investigation?
Thanks in advance!
@objectAntics
Credit goes to @MarkoToplak
If you want to modify values for Orange.data.Table, you will have to set the correct value in your new_data.X, which is 2D numpy table of floats. It can not contain strings. Strings in Orange.data.Table can only be stored as meta attributes. – Marko Toplak 8 hours ago <
@MarkoToplak you were spot on... I had to modify the inputs to be meta/text and reload the file which made assignment possible. THANK YOU! – objectAntics just now Edit Delete
new_data[counter]["Phone"] = fph
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