Piyush Raj

In this tutorial, we will look at the difference between the Pandas Series.unique() function and the Pandas Series.cat.categories attribute for a category type column. Difference between Pandas Series.unique() and Series.cat.categories The key difference is that, the pandas Series.unique() function gives us the unique value occurring in the data whereas the pandas.cat.categories property returns the possible […]

The category dtype is used to store categorical values in Pandas. In this tutorial, we will look at how to compare data in a category type column in Pandas. Compare categorical data with other objects in Pandas There are three common use-cases for comparing category type data with other objects in Pandas. Compare category data

In this tutorial, we will look at how to sort a Pandas dataframe based on values in a category type column with the help of some examples. How to sort a dataframe on a category column in Pandas? You can use the Pandas dataframe sort_values() function to sort a dataframe. Pass the category column name

In this tutorial, we will look at how to convert a datetime type column to a category type column in Pandas and apply common datetime operations. How to convert datetime column to category type column in Pandas? You can use the Pandas astype() function to change the type of a column. To convert a column