PANDAS DATA FRAME
Pandas DataFrame is a widely used data structure which works with a two-dimensional array with labeled axes (rows and columns). DataFrame is defined as a standard way to store data that has two different indexes, i.e., row index and column index. It consists of the following properties:
- The columns can be heterogeneous types like int, bool, and so on.
- It can be seen as a dictionary of Series structure where both the rows and columns are indexed. It is denoted as "columns" in case of columns and "index" in case of rows.
Parameter & Description:
data: It consists of different forms like ndarray, series, map, constants, lists, array.
index: The Default np.arrange(n) index is used for the row labels if no index is passed.
columns: The default syntax is np.arrange(n) for the column labels. It shows only true if no index is passed.
dtype: It refers to the data type of each column.
copy(): It is used for copying the data.
Create a DataFrame
We can create a DataFrame using following ways:
- dict
- Lists
- Numpy ndarrrays
- Series
