Why is my program iterating through the row indexes and row elements instead of just row indexes when I use...
everyone! I am new to data science and I was playing around with pandas module in python. I wrote a code using for loop which is given below:
I then wrote the following code:
import numpy as np
for row in read.['OWN_OCCUPIED']:
read.loc[row,'OWN_OCCUPIED']=np.nan
print(read)
which shows the following the result:
I am really confused because why did the computer iterate through the row indexes and also the row elements i. e 'Y', 'N' and '12' ? Shouldn't it have iterated only eight times same as the row numbers?
But when I write this following code:
'import numpy as np
count = 0
for row in read['OWN_OCCUPIED']:
read.loc[count,'OWN_OCCUPIED']=np.nan
count += 1'
I get the desired result which is:
Why is this happening and can someone tell me the logic behind it?
Thank you.
python pandas
New contributor
add a comment |
everyone! I am new to data science and I was playing around with pandas module in python. I wrote a code using for loop which is given below:
I then wrote the following code:
import numpy as np
for row in read.['OWN_OCCUPIED']:
read.loc[row,'OWN_OCCUPIED']=np.nan
print(read)
which shows the following the result:
I am really confused because why did the computer iterate through the row indexes and also the row elements i. e 'Y', 'N' and '12' ? Shouldn't it have iterated only eight times same as the row numbers?
But when I write this following code:
'import numpy as np
count = 0
for row in read['OWN_OCCUPIED']:
read.loc[count,'OWN_OCCUPIED']=np.nan
count += 1'
I get the desired result which is:
Why is this happening and can someone tell me the logic behind it?
Thank you.
python pandas
New contributor
add a comment |
everyone! I am new to data science and I was playing around with pandas module in python. I wrote a code using for loop which is given below:
I then wrote the following code:
import numpy as np
for row in read.['OWN_OCCUPIED']:
read.loc[row,'OWN_OCCUPIED']=np.nan
print(read)
which shows the following the result:
I am really confused because why did the computer iterate through the row indexes and also the row elements i. e 'Y', 'N' and '12' ? Shouldn't it have iterated only eight times same as the row numbers?
But when I write this following code:
'import numpy as np
count = 0
for row in read['OWN_OCCUPIED']:
read.loc[count,'OWN_OCCUPIED']=np.nan
count += 1'
I get the desired result which is:
Why is this happening and can someone tell me the logic behind it?
Thank you.
python pandas
New contributor
everyone! I am new to data science and I was playing around with pandas module in python. I wrote a code using for loop which is given below:
I then wrote the following code:
import numpy as np
for row in read.['OWN_OCCUPIED']:
read.loc[row,'OWN_OCCUPIED']=np.nan
print(read)
which shows the following the result:
I am really confused because why did the computer iterate through the row indexes and also the row elements i. e 'Y', 'N' and '12' ? Shouldn't it have iterated only eight times same as the row numbers?
But when I write this following code:
'import numpy as np
count = 0
for row in read['OWN_OCCUPIED']:
read.loc[count,'OWN_OCCUPIED']=np.nan
count += 1'
I get the desired result which is:
Why is this happening and can someone tell me the logic behind it?
Thank you.
python pandas
python pandas
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user189206
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