komanawa.kendall_stats.example_data

created matt_dumont on: 21/09/23

Functions

make_increasing_decreasing_data([slope, noise, step])	make increasing and decreasing test data
make_multipart_parabolic_data(slope, noise, unsort, ...)	note the slope is multiplied by -1 to retain the same standards make_sharp_change_data positive slope is increasing and then decreasing, negative is opposite
make_multipart_sharp_change_data(slope, noise, unsort, ...)	sharp v change positive slope is increasing and then decreasing, negative is opposite
make_seasonal_data(slope, noise, unsort, na_data[, step])	make seasonal test data
make_seasonal_multipart_parabolic(slope, noise, ...[, ...])	make seasonal test data
make_seasonal_multipart_sharp_change(slope, noise, ...)	make seasonal test data

Module Contents

make_increasing_decreasing_data(slope=1, noise=1, step=1)

make increasing and decreasing test data

Parameters:

• slope – slope for line

• noise – random noise to add to data

• step – spacing of data

Returns:

x,y (np.arrays)

make_multipart_parabolic_data(slope, noise, unsort, na_data, step=1)

note the slope is multiplied by -1 to retain the same standards make_sharp_change_data positive slope is increasing and then decreasing, negative is opposite

Parameters:

• slope – slope for line

• noise – noise to add to data

• unsort – make the data unsorted (for testing purposes)

• na_data – add some na data to the data (for testing purposes)

Returns:

x,y (np.arrays)

make_multipart_sharp_change_data(slope, noise, unsort, na_data, step=1)

sharp v change positive slope is increasing and then decreasing, negative is opposite

Parameters:

• slope – slope for line

• noise – noise to add to data

• unsort – make the data unsorted (for testing purposes)

• na_data – add some na data to the data (for testing purposes)

Returns:

x,y (np.arrays)

make_seasonal_data(slope, noise, unsort, na_data, step=1)

make seasonal test data

Parameters:

• slope – slope for line

• noise – noise to add to data

• unsort – make the data unsorted (for testing purposes)

• na_data – add some na data to the data (for testing purposes)

• step – spacing of data

Returns:

pd.DataFrame

make_seasonal_multipart_parabolic(slope, noise, unsort, na_data, step=1)

make seasonal test data

Parameters:

• slope – slope for parabola note the slope is multiplied by -1 to retain the same standards make_sharp_change_data

• noise – noise to add to data

• unsort – make the data unsorted (for testing purposes)

• na_data – add some na data to the data (for testing purposes)

• step – spacing of data

Returns:

pd.DataFrame

make_seasonal_multipart_sharp_change(slope, noise, unsort, na_data, step=1)

make seasonal test data

Parameters:

• slope – slope for line

• noise – noise to add to data

• unsort – make the data unsorted (for testing purposes)

• na_data – add some na data to the data (for testing purposes)

• step – spacing of data

Returns:

pd.DataFrame