¿Cómo se encuentra el subconjunto de un marco de datos?

How do you find the subset of a data frame?

Select a Subset of a Dataframe using the Indexing Operator

1. Selecting Only Columns. To select a column using indexing operator use the following line of code. housing[ ‘population’ ]
2. Selecting Rows. You can use the indexing operator to select specific rows based on certain conditions.

Code #1 : Selecting all the rows from the given dataframe in which ‘Age’ is equal to 21 and ‘Stream’ is present in the options list using basic method. Output : Code #2 : Selecting all the rows from the given dataframe in which ‘Age’ is equal to 21 and ‘Stream’ is present in the options list using . loc[].

To select multiple columns, use a list of column names within the selection brackets []. The inner square brackets define a Python list with column names, whereas the outer brackets are used to select the data from a pandas DataFrame as seen in the previous example. The returned data type is a pandas DataFrame:

A data frame is composed of rows and columns, df [A, B]. A represents the rows and B the columns. We can slice either by specifying the rows and/or columns. From picture 1, the left part represents the rows, and the right part is the columns.

We select the rows and columns to return into bracket precede by the name of the data frame. A data frame is composed of rows and columns, df [A, B]. A represents the rows and B the columns. We can slice either by specifying the rows and/or columns. From picture 1, the left part represents the rows, and the right part is the columns.

Let’s say that you want to sort the DataFrame, such that the Brand will be displayed in an ascending order. In that case, you’ll need to add the following syntax to the code: df.sort_values (by= [‘Brand’], inplace=True) Note that unless specified, the values will be sorted in an ascending order by default.