使用 panda 将字符串“yes”转换为 1 但失败

Question

I'd like to convert "Yes"and "No" from column"ServiceLevel" to "1" and "0". This is my code:

mydata['ServiceLevel'].replace(to_replace ='Yes',value = 1,inplace = 'True')

mydata['ServiceLevel'].replace(to_replace ='No', value = 0,inplace = 'True')

mydata['ServiceLevel'].head()

ValueError: For argument "inplace" expected type bool, received type str.

What's this mean? How to correct it?

Answer 1

inplace is a boolean argument - it takes either True or False , but you passed the string 'True' (note the quotes). Remove the quotes to get a boolean literal, and you should be fine:

mydata['ServiceLevel'].replace(to_replace ='Yes', value = 1, inplace = True)
mydata['ServiceLevel'].replace(to_replace ='No', value = 0, inplace = True)
# Here ---------------------------------------------------------------^---^