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Libro Turbinas De Vapor Pdf |LINK| Download 🎇

Libro Turbinas De Vapor Pdf |LINK| Download 🎇

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Libro Turbinas De Vapor Pdf Download

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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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Does this mean those people who cannot conjure up the Monty Python image in their mind can’t imagine themselves talking the
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As States leave themselves more exposed and are more wary of the ongoing cost-shifting to the federal government, higher deductibles play a key role in providing for coverage. In essence, higher deductibles act as a rainy day fund for the insurer. For many people, their premiums may be affordable (but that needs to be true for everyone), but the deductibles can be prohibitively high. If deductibles are too high, then one is frequently stuck in the position of delaying or foregoing medical treatment. Lower deductibles mean the insurer is exposed to a wider range of costs, and thus, providers need to be incentivized to take on risk. This can be accomplished by offering large risk corridors, offering cost-sharing reductions (CSRs), expanding the Medicaid program, offering reinsurance, and, perhaps, by raising the risk-adjusted premium for coverage.

The first two methods are quite popular—risk corridors and CSRs. In a risk corridor, the federal government would make available a cash payment to an insurer in the case of a higher than expected cost-shift. In return, the insurer agrees to allow the federal government to share a portion of any benefit payments for enrollees that are generated from cost-shifting. The method was popularized by the ACA. In exchange, insurers receive a financial incentive to keep premiums down. In 2009, the ACA required insurers to set a minimum amount of �

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