Pandas DataFrames facilitate column-wise iteration, allowing convenient access to elements in each column. In this article, we will discuss how to loop or Iterate overall or certain columns of a DataFrame.

Creating Pandas Dataframe

In this article, we will use this Dataframe that we have created by using the Pandas package.

Output

Pandas Iterate Over Columns of DataFrame

Below are the ways by which we can iterate over columns of Dataframe in Python Pandas:

• Using Dataframe.iteritems()
• Using [ ] operator
• Iterate over more than one column
• Iterating columns in reverse order
• Using iloc[]

Pandas Iterate Over Columns of DataFrame using DataFrame.iteritems(): 

Dataframe class provides a member function iteritems() which gives an iterator that can be utilized to iterate over all the columns of a data frame. For every column in the Dataframe it returns an iterator to the tuple containing the column name and its contents as series. Here, this code creates a pandas DataFrame named stu_df from a list of tuples representing student information. It then iterates through the columns of the DataFrame, printing the column names and their corresponding values.

Output

Loop or Iterate Over all or Certain Columns using [ ] operator

We can iterate over column names and select our desired column. Here, the code constructs a pandas DataFrame named stu_df from a list of tuples, representing student information. It then iterates through the columns, printing each column’s name and its corresponding values using the DataFrame’s column selection with the [] operator.

Output

Iterate Over More than One Column

Assume we need to iterate more than one column. In order to do that we can choose more than one column from dataframe and iterate over them. Here, the code constructs a pandas DataFrame named stu_df from a list of tuples, representing student information. It iterates over the specified columns, namely ‘Name’ and ‘Section’, printing each column’s name and its corresponding values using DataFrame’s column selection with the [] operator.

Output

Iterating over Pandas DataFrame in Reversed Order

We can iterate over columns in reverse order as well. Here, the code creates a pandas DataFrame named stu_df from a list of tuples, representing student information. It iterates over the column names in reverse order, printing each column’s name and its corresponding values using DataFrame’s column selection with the [] operator.

Output

Iterate Over all Columns of a Dataframe using Index iloc[]

To iterate over the columns of a Dataframe by index we can iterate over a range i.e. 0 to Max number of columns than for each index we can select the contents of the column using iloc[]. Here, the code creates a pandas DataFrame named stu_df from a list of tuples, representing student information. It iterates over the column index positions, printing each column’s number and its corresponding values using DataFrame’s iloc[] method for column selection.

Output

ankthon

Follow

Improve

Article Tags :

• Python
• Python pandas-dataFrame
• Python-pandas

Practice Tags :

• python