invert4geom.random_split_test_train#
- random_split_test_train(data_df, test_size=0.3, random_state=10, coord_names=('easting', 'northing'), plot=False)[source]#
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 (pandas.DataFrame) – data to be split, must have columns set by parameter coord_names
test_size (float, optional) – decimal percentage of points to put in the testing set, by default 0.3
random_state (int, optional) – number to set th random splitting, by default 10
coord_names (tuple[str, str], optional) – names of the coordinate columns in the dataframe, by default (“easting”, “northing”)
plot (bool, optional) – 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: