How to Convert Categorical Values to Binary (0 and 1) in Python with Pandas)

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This video explains How to Convert Categorical Values to Binary values (Python and Pandas) with Jupyter Notebook

  1. Kindson The Genius
  2. Regression
  3. Logistic Regression
  4. Python
  5. Machine Learning
  6. Data Science
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Комментарии
Автор

Suppose you have multiple columns. Is there a shorter way to get values for all of them or do they all have to be manually converted like this?

haseebkollorath
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Bro this video just saved me me, awesome.

sowash
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What to do if we have three categories for example if there is male, female, and transgender then how can we convert them.

mzafar
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Very helpful and what should we do if we have data in binary and want to convert categorical (yes or no))? Should i follow the same steps?

huzaifa
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how do you convert bak to male and female given the binary variables

otekanonso
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Thank you soooo much, you saved my assignment

mikichan
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I have a variable Injury body part, it contains knee/hands/head/leg/..so on as a single entry (each row has this data)
Kindly provide me the line of code to show " if the injury body part is knee then it is 1 ", "if it is head then it is 2"... And so on.. In R language
Kindly help me with this

poojamahesh
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Is there a way to add a column without dividing it into two? I want it to just be a single new column with the numbers.

TheHolisticBabe
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How about if the column has more than 3 or 4 categories?

olaoluwamann
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Sorry i am still struggling, after i typed :
df2 = df2.drop(['verified_purchase'], axis = 1)
my columns with all my 0 and 1 disappeared :O

UrBigSisKey