Pandas is a powerful library for data manipulation and analysis in Python. One of its key data structures is the DataFrame, which represents a two-dimensional table of data with labeled rows and columns.
To change the order of columns in a Pandas DataFrame, there are several methods you can use. Here are three common methods:
1. Reordering columns using column names:
You can change the order of columns in a DataFrame by simply creating a new DataFrame with the desired column order. In this method, you specify the desired order of the columns by passing a list of the column names in the order you want.
Example:
2. Reordering columns using ".reindex()":
Another way to change the order of columns in a Pandas DataFrame is to use the `.reindex()` method. In this method, you specify the desired order of columns using a list of column names and pass it to the `.reindex()` method.
Example:
3. Reordering columns using ".iloc()":
You can also use the `.iloc()` method to reorder columns by specifying the new order of columns using a list of integers that represent the column positions. In this method, you pass the list of integers to `.iloc()` method with a `:` as the row selector.