python - Sorting in pandas for large datasets

I would like to sort my data by a given column, specifically p-values. However, the issue is that I am not able to load my entire data into memory. Thus, the following doesn't work or rather works for only small datasets.

data = data.sort(columns=["P_VALUE"], ascending=True, axis=0)

Is there a quick way to sort my data by a given column that only takes chunks into account and doesn't require loading entire datasets in memory?