neat way to select rows in Pandas data frame

	import pandas as pd
	import numpy as np
	df = pd.DataFrame({'a':range(10),'b':range(10,20),'c':np.zeros(10)}) # data
	condition = np.where( (df.a > 5) & (df.b > 17) )[0] # return an array of row indices that match the condition
	df.loc[df.index[condition],'c'] = 100 # Update the selected rows in column c

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