The correct answer is D. All of the mentioned.
A SparseList is a list-like data structure that is used for managing a dynamic collection of SparseArrays. A SparseArray is a data structure that stores data in a sparse matrix format. This means that only the non-zero elements of the matrix are stored, which can save space and improve performance.
A GeoList is a list-like data structure that is used for managing a dynamic collection of GeoSeries. A GeoSeries is a data structure that stores geographic data in a series format. This means that each element of the series is a point, line, or polygon.
A SparseSeries is a list-like data structure that is used for managing a dynamic collection of SparseGeoSeries. A SparseGeoSeries is a data structure that stores geographic data in a sparse series format. This means that only the non-zero elements of the series are stored, which can save space and improve performance.
Here is an example of how to create a SparseList:
“`
import numpy as np
from scipy.sparse import SparseList
list = SparseList([1, 2, 3, 4, 5])
list
[1, 2, 3, 4, 5]
“`
Here is an example of how to create a GeoList:
“`
import geopandas as gpd
from scipy.sparse import SparseGeoSeries
list = SparseGeoSeries([(1, 2, 3), (4, 5, 6)])
list
“`
Here is an example of how to create a SparseSeries:
“`
import pandas as pd
from scipy.sparse import SparseSeries
list = SparseSeries([1, 2, 3, 4, 5])
list
0 1
1 2
2 3
3 4
4 5
“`