Often when you are working with bigger dataframe and doing some data cleaning or exploratory data analysis, you might want to select columns of Pandas dataframe by their data types. For example, you might want to quickly select columns that are numerical in type and visualize their summary data. Or you might want to select […]
Pandas select columns
How To Select Columns Using Prefix/Suffix of Column Names in Pandas?
Selecting one or more columns from a data frame is straightforward in Pandas. For example, if we want to select multiple columns with names of the columns as a list, we can one of the methods illustrated in How To Select One or More Columns in Pandas? Sometimes you may be working with a larger […]