invert4geom.random_split_test_train

random_split_test_train(data_df, test_size=0.3, random_state=10, coord_names=('easting', 'northing'), plot=False)

split data into training and testing sets randomly with a specified percentage of points to be in the test set set by test_size.

Parameters:

• data_df (DataFrame) – data to be split, must have columns set by parameter coord_names

• test_size (float) – decimal percentage of points to put in the testing set, by default 0.3

• random_state (int) – number to set th random splitting, by default 10

• coord_names (tuple[str, str]) – names of the coordinate columns in the dataframe, by default (“easting”, “northing”)

• plot (bool) – choose to plot the results, by default False

Returns:

dataframe with a new column “test” which is a boolean value of whether the row is in the training or testing set.

Return type:

DataFrame