Split a pandas column by a delimiter python tutorial

certainly! in this tutorial, we'll explore how to split a column in a pandas dataframe using a delimiter. this is a common operation when dealing with datasets where a single column contains multiple pieces of related information separated by a specific character, such as a comma, space, or hyphen.

### prerequisites

before we start, make sure you have the pandas library installed. if you haven't installed it yet, you can do so using pip:

### step-by-step guide

1. **import the pandas library**
2. **create a sample dataframe**
3. **split the column by a delimiter**
4. **assign the split data to new columns**

### step 1: import the pandas library

first, we need to import the pandas library.

### step 2: create a sample dataframe

next, we will create a sample dataframe. for this example, we will create a dataframe with a column that contains full names.

### step 3: split the column by a delimiter

### step 4: assign the split data to new columns

we can now assign the split data into new columns in the original dataframe. for instance, we can create 'first name' and 'last name' columns.

### complete code example

here’s the complete code snippet combining all the steps:

### output

when you run the complete code, the output will look like this:

### conclusion

in this tutorial, we learned how to split a pandas dataframe column using a delimiter. we demonstrated how to create a dataframe, split a column into new columns, and assign those split values back to the original dataframe. this technique is very useful for data cleaning and preparation in data analysis tasks.

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