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Turbina de vapor. Turbina de vapor es un motor de vapor y usado principalmente para generar el poder de motores diesel. Una especie de cilindro húmedo con una hoja de vidrio en la parte inferior y  .Q:

How to add a second column to pandas data frame?

I have created a data frame which looks like this:
df = pd.DataFrame({‘column1’: [1,2,3], ‘column2’: [1,2,3]})

What I want to do now is to add a third column to this data frame, which should be equal to 0 if the value of column1 is the same as column2 or 1 if they are different.
I’ve tried a couple of ways by doing:
df[‘thirdcolumn’] = df.apply(lambda x: 1 if x[‘column1’] == x[‘column2’] else 0, axis=1)

but this gives me this error:
AttributeError: ‘DataFrame’ object has no attribute ‘apply’

Another attempt was to convert to a dictionary which is normally the way to go but here I receive this error:
ValueError:
KeyError: ‘lambda’

I also tried using pd.concat, but then I don’t know how to get rid of the two new columns that the concat function creates.
df = pd.concat([df, df.apply(lambda x: 1 if x[‘column1’] == x[‘column2’] else 0, axis=1)], axis=1)

Thanks in advance for help!

A:

Use numpy.where:
import numpy as np

df[‘thirdcolumn’] = np.where(df[‘column1’].ne(df[‘column2’]), 1, 0)

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