I have a silly problem. My df
looks like this:
FID_2 STA_SID s2 s1 Qh_STA Qh_FID2 \
14 222143.00 26040713.00 0.00 0.00 8.00 17.00
15 222143.00 26040713.00 0.00 8.00 6.00 17.00
13 222143.00 26040713.00 0.00 6.00 3.00 17.00
17 NaN 26033594.00 29445425.00 1707.00 5.00 nan
I defined the following function and command:
A = 0.8
def seekDO(row):
if (row['Qh_STA'])/row['Qh_FID2'] < A :
return 1
if ((row['Qh_STA'] + row['s1'])/row['Qh_FID2'] < A) :
return 1
if ((row['Qh_STA'] + row['s1'] + row['s2']) / row['Qh_FID2'] < A) :
return 1
return 0
df['DO'] = df.apply (lambda row: seekDO(row),axis=1)
The problem is that for DO
I get
DO
14 1
15 1
13 1
17 0
Instead of
DO
14 1
15 0
13 0
17 0
Can you perhaps see where I got mistaken?
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