The list below breaks down some of the common ones you may encounter: The.locaccessor is a great way to select a single column or multiple columns in a dataframe if you know the column name(s). The filter() method of pandas.DataFrame returns a subset according to the row and column names. Lets see what this looks like: Similarly, we can select columnswhere the values meet a condition. Refresh the page, check Medium 's site status, or find something interesting to read. The order of the rows and columns of the result is the order of the specified list. Im interested in the age and sex of the Titanic passengers. Because of this, youll run into issues when trying to modify a copied dataframe. If these parameters are specified simultaneously, an error is raised. A Computer Science portal for geeks. In addition to extracting rows/columns by index, we can also do the subsetting based on conditions. For example, the column with the name 'Age' has the index position of 1. When selecting specific rows and/or columns with loc or iloc, A simple way to achieve this would be as follows: Where $n1
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