Data Manipulation with SpatialDataFrame

Review the properties and methods available in the SpatialDataFrame class for data manipulation.

Properties and Methods	Description
columns	Returns a list of column names.
index_columns	Returns a list of columns that represent the index; these columns are not part of the property columns.
shape	Returns a tuple with the dimensionality of the current instance.
head	Returns the first rows of the data.
add_column	Adds a new column to the current instance. The new column must have the same number of rows as the current instance.
drop	Returns a new instance of SpatialDataFrame with the specified columns removed.
dropna	Removes rows containing missing values and returns a new instance of SpatialDataFrame.
iterrows	Iterates through all the rows of the current instance.
create	Creates a SpatialDataFrame instance based on the dataset type.
as_geo_data_frame	Returns a GeoPandas GeoDataFrame based on the current instance.
get_values	Returns the data of the current instance as a NumPy array.
write	Writes the data of the current instance into the destination specified in the parameter dataset.
sort_values	Returns a new instance of SpatialDataFrame sorted by the values of the specified columns.

The SpatialDataFrame class also functions as the Python API for Oracle Spatial database enabling Python access to Oracle Spatial functionalities and in-database spatial analysis.

See Perform Spatial Analysis for more information.