pandas - How to determine column values changing in a particular direction? -


i have dataframe consisting of 1 column of periods (year , quarters) , column of productivity numbers period. task identify period where, example, have 2 consecutive quarters of productivity decline; or, similarly, 2 consecutive quarters of growth. imagine can use brute force , loop on rows looking @ several rows @ time, reading might have "shift" function -- dont understand how works. thank help

     1971q1  1,137.8     1971q2  1,159.4     1971q3  1,180.3     1971q4  1,173.6     1972q1  1,163.8     1972q2  1,140.1     1972q3  1,145.8     1972q4  1,150.0

try buddy

#define growth rate df['growth_rate'] = np.log(df.production) - np.log(df.production).shift(1) #a recession when there have been 2 quarters of negative growth.  df['recession'] =  (df['growth_rate'] < 0 ) &  (df['growth_rate'].shift(1) < 0 )

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