如何在Pandas数据框中的新列中添加Python对象？

Question

I am iterating over all rows in a Pandas Dataframe and I want to add a couple of new columns while iterating over each row. One column is an integer, the other is a Python object (class MyClass).

for index, row in df.iterrows():

    ... calculate myinteger and myclass_object ...

    df.loc[df.index[index], 'breakout'] = myinteger
    df.loc[df.index[index], 'object'] = myclass_object

But I get:

ValueError: invalid literal for int() with base 10: b'\xd3\x07\x00\x00\x01\x00\x00\x00\x01\x00\x00\x00\x13\x00\x00\x00\t\x00\x00\x00'

I think it is related to Pandas trying to figure out value of myclass_object, when dtype shall be set up to object but I am not sure.

Answer 1

Maybe u can try this:

for i in df.index.tolist():
    df.at[i,'breakout'] = myinteger
    df.at[i, 'object'] = myclass_object

Answer 2

If you would like do it with pandas I recommend assign it after for loop

myi=[]
myo=[]
for index, row in df.iterrows():

    myi.append(myinteger)
    myo.append(myclass_object)

Then

df['breakout'] = myi
df['object'] = myo