Reg. Pandas factorize()
Multi tool use
$begingroup$
-Hi Experts-
I just read about factorise() function in Pandas. Using this I'm able to encode (enumerate) my string values into numbers. But, now I'm not able to understand what numbers corresponds to what string.
Ex.
df['product_name'] # Ex. A, B, C
df['product_name'] = df['product_name'].factorize()[0]
df['product_name'] # Ex. 0, 1, 2
Just illustration, not actual o/p -
A - 0
B - 1
C - 2
How can i get this? Please advise.
-Curious newbie :)
machine-learning python scikit-learn pandas data-science-model
asked 4 mins ago
ranit.branit.b
134
$endgroup$
add a comment |
$begingroup$
-Hi Experts-
I just read about factorise() function in Pandas. Using this I'm able to encode (enumerate) my string values into numbers. But, now I'm not able to understand what numbers corresponds to what string.
Ex.
df['product_name'] # Ex. A, B, C
df['product_name'] = df['product_name'].factorize()[0]
df['product_name'] # Ex. 0, 1, 2
Just illustration, not actual o/p -
A - 0
B - 1
C - 2
How can i get this? Please advise.
-Curious newbie :)
machine-learning python scikit-learn pandas data-science-model
asked 4 mins ago
ranit.branit.b
134
$endgroup$
add a comment |
$begingroup$
-Hi Experts-
I just read about factorise() function in Pandas. Using this I'm able to encode (enumerate) my string values into numbers. But, now I'm not able to understand what numbers corresponds to what string.
Ex.
df['product_name'] # Ex. A, B, C
df['product_name'] = df['product_name'].factorize()[0]
df['product_name'] # Ex. 0, 1, 2
Just illustration, not actual o/p -
A - 0
B - 1
C - 2
How can i get this? Please advise.
-Curious newbie :)
machine-learning python scikit-learn pandas data-science-model
asked 4 mins ago
ranit.branit.b
134
$endgroup$
-Hi Experts-
I just read about factorise() function in Pandas. Using this I'm able to encode (enumerate) my string values into numbers. But, now I'm not able to understand what numbers corresponds to what string.
Ex.
df['product_name'] # Ex. A, B, C
df['product_name'] = df['product_name'].factorize()[0]
df['product_name'] # Ex. 0, 1, 2
Just illustration, not actual o/p -
A - 0
B - 1
C - 2
How can i get this? Please advise.
-Curious newbie :)
machine-learning python scikit-learn pandas data-science-model
machine-learning python scikit-learn pandas data-science-model
asked 4 mins ago
ranit.branit.b
134
asked 4 mins ago
ranit.branit.b
134
asked 4 mins ago
ranit.branit.b
134
asked 4 mins ago
ranit.branit.b
134
asked 4 mins ago
ranit.branit.b
134
134
add a comment |
add a comment |
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