Are there way to get consecutive rows according to value of specific column? For example:
column1 | column2 | View | |
---|---|---|---|
row1 | 1 | 2 | c |
row2 | 3 | 4 | a |
row3 | 5 | 6 | p |
row4 | 7 | 8 | p |
row5 | 9 | 10 | n |
I need to get the rows that have the letter of word 'app' as View, so in this example I need to save row2, row3 and row4 in a list.
Not the pythonic way, but doing the work:
keep = []
for i in range(len(df) - 2):
if (df.View[i]=='a') & (df.View[i+1] =='p') & (df.View[i+2] =='p'):
keep.append(df[i])
keep.append(df[i+1])
keep.append(df[i+2])
Result: