the code below was written to check for NaN values in a Python ND-Array column. If there is a NaN in either temparr1 or temparr2, we remove the corresponding row from both of them. The problem is, it doesn't seem to work. Could you please help me out?
temparr1=arr[index[indexkey]][:]// We get a column from arr, an nd-array of size 0 to 9470
temparr2=arr[index[secondIndexKey]][:]// Same as above, but with the next column
rwc=range(0,len(arr)) We get a bit vector of a sort to check.
for i in range(0,len(arr)):
if(isnan(temparr1[i]) or isnan(temparr2[i]) ):
rwc = rwc[:i-1]+rwc[i+1:] // Remove the value from the bit Vector for a NaN value in the arrays.
print i
temparr1 = []
temparr2 = []
for i in rwc:
temparr1.append(arr[index[indexkey]][i])
temparr2.append(arr[index[secondIndexKey]][i])// Extract the data for the corresponding values in RWC and get them into the temparrs.
Can someone tell me why it is not working, why I still am getting NaNs??
An Array looks like : [99,242,122,nan,42,nan,414,................]