## How do I extract a subset from a data frame?

Subset a Dataframe using Python . loc()

- Selecting Rows with loc() To select a single row using . loc() use the following line of code.
- Selecting rows and columns. To select specific rows and specific columns out of the data frame, use the following line of code : housing.loc[ 1 : 7 ,[ ‘population’ , ‘households’ ]]

**How do I extract data from a Dataframe in R?**

Extract data frame cell value

- Extract value of a single cell: df_name[x, y] , where x is the row number and y is the column number of a data frame called df_name .
- Extract the entire row: df_name[x, ] , where x is the row number.
- Extract the entire column: df_name[, y] where y is the column number.

**How do I extract specific rows and columns from a Dataframe in R?**

Extracting Multiple columns from dataframe

- Syntax : variable_name = dataframe_name [ row(s) , column(s) ]
- Example 1: a=df[ c(1,2) , c(1,2) ]
- Explanation : if we want to extract multiple rows and columns we can use c() with row names and column names as parameters.
- Example 2 : b=df [ c(1,2) , c(“id”,”name”) ]

### How do I get certain rows in R?

It is interesting to know that we can select any row by just supplying the number or the index of that row with square brackets to get the result. Similarly, we can retrieve the range of rows as well. This can be done by simply providing the range in square brackets notations.

**How do I get only certain columns in R?**

Select Data Frame Columns in R

- pull(): Extract column values as a vector.
- select(): Extract one or multiple columns as a data table.
- select_if(): Select columns based on a particular condition.
- Helper functions – starts_with(), ends_with(), contains(), matches(), one_of(): Select columns/variables based on their names.