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# Splitting a column of strings into multiple columns in Pandas

schedule Aug 12, 2023
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Consider the following DataFrame:

``` df = pd.DataFrame({"A":["a,b","c,d"]})df A0 a,b1 c,d ```

# Solution

To split column `A` into 2 columns, where the 1st column contains `[a,c]` and the 2nd contains `[b,d]`:

``` pd.DataFrame(df["A"].str.split(",").tolist(), columns=["A","B"]) A B0 a b1 c d ```

# Explanation

Firstly, we are extracting column `A` as a Series using `df["A"]`, and then using its `str.split(",")` method to split each string by a comma:

``` df["A"].str.split(",") # returns a Series 0 [a, b]1 [c, d]Name: A, dtype: object ```

To convert this `Series` into a `DataFrame`, we first need to convert the `Series` into a 2D `list` like so:

``` df["A"].str.split(",").tolist() [['a', 'b'], ['c', 'd']] ```

Now that we have the values, we can directly call the DataFrame constructor like so:

``` pd.DataFrame(df["A"].str.split(","), columns=["A","B"]) A B0 a b1 c d ```
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