In pandas, only the .str accessor can be used with string values. The data type of this column is np. object_ type in pandas and cannot be changed to anything else. This blog post will discuss how debugging your code using a new string-based function that you have created may help fix the mistake or bug that caused an error when trying to use this function on a column with numeric values. A recent example of this was when I had encoded my text into numbers and then tried to concatenate strings together without encoding them back into their original format first! Let’s say we want to create a simple Python program where our goal is just to take two variables: “hello” (string) + “world” (string). This blog post will discuss how debugging your code using a new string-based function that you have created may help fix the mistake or bug that caused an error when trying to use this function on a column with numeric values. The data type of this column is np. object_ type in pandas and cannot be changed to anything else. This blog post will discuss how debugging your code using a new string-based function that you have created may help fix the mistake or bug that caused an error when trying to use this function on a column with numeric values. A recent example of this was when I had encoded my text into numbers and then tried to concatenate strings together without encoding them back into their
