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.