def R99p_calculation(arr, percentile_arr, fill_val=None, out_unit="days"):
"""
Calculate the R99p indice: number of extremely wet days (i.e. days with daily precipitation amount > 99th percentile of daily amount in the base period).
:param arr: daily precipitation flux (liquid form) (e.g. "pr") in mm/day
:type arr: numpy.ndarray (3D) or numpy.ma.MaskedArray (3D)
:param dt_arr: corresponding time steps vector
:type dt_arr: numpy.ndarray (1D) of datetime objects
:param percentile_dict: 99th percentile of daily precipitation amount at wet days in mm/day
:type percentile_dict: dict
:param fill_val: fill value
:type fill_val: float
:rtype: numpy.ndarray (2D) (if "arr" is numpy.ndarray)
or numpy.ma.MaskedArray (2D) (if "arr" is numpy.ma.MaskedArray)
.. warning:: If "arr" is a masked array, the parameter "fill_val" is ignored, because it has no sense in this case.
"""
wet_arr = calc.get_wet_days(arr=arr, fill_val=fill_val) # masked array
R99p = calc.get_nb_events(
wet_arr, logical_operation="gt", thresh=percentile_arr, fill_val=fill_val, out_unit=out_unit
)
return R99p
def get_percentile_arr(arr,
percentile,
callback=None,
callback_percentage_start_value=0,
callback_percentage_total=100,
chunk_counter=1,
precipitation=True,
fill_val=None,
interpolation="hyndman_fan"):
'''
Returns an 2D array with computed percentile values.
:param arr: array of values (in case of precipitation, units must be `mm/day`)
:type arr: numpy.ndarray (3D) or numpy.ma.MaskedArray (3D) of float
:param dt_arr: corresponding time steps vector (base period: usually 1961-1990)
:type dt_arr: numpy.ndarray (1D) of datetime objects
:param percentile: percentile to compute which must be between 0 and 100 inclusive
:type percentile: int
:param callback: progress bar, if ``None`` progress bar will not be printed
:type callback: :func:`callback.defaultCallback2`
:param callback_percentage_start_value: init value for percentage of progress bar (default: 0)
:type callback_percentage_start_value: int
:param callback_percentage_total: final value for percentage of progress bar (default: 100)
:type callback_percentage_total: int
:param chunk_counter: chunk counter in case of chunking
:type chunk_counter: int
:param precipitation: if True, only values >=1.0 mm will be processed (i.e. wet days)
:type precipitation: bool
:param fill_val: fill value of ``arr``
:type fill_val: float
:rtype: numpy.ndarray (2D)
.. warning:: If "arr" is a masked array, the parameter "fill_val" is ignored, because it has no sense in this case.
'''
assert (arr.ndim == 3)
# we mask our array in case it has fill_values
arr_masked = get_masked_arr(arr, fill_val)
fill_val = arr_masked.fill_value
### not precipitation
if precipitation == False:
arr_filled = arr_masked.filled(fill_val)
### precipitation
else:
# we process only wet days (daily precip. amount >= 1.0 mm)
wet_arr = calc.get_wet_days(arr=arr_masked)
# we fill all masked values with fill_val to pass the filled array to the C function
arr_filled = wet_arr.filled(fill_val)
del arr_masked
############################## prepare calling C function
# data type should be 'float32' to pass it to C function
if arr_filled.dtype != 'float32':
arr_filled = numpy.array(arr_filled, dtype='float32')
C_percentile = libraryC.percentile_3d
C_percentile.restype = None
C_percentile.argtypes = [
ndpointer(ctypes.c_float), ctypes.c_int, ctypes.c_int, ctypes.c_int,
ndpointer(ctypes.c_double), ctypes.c_int, ctypes.c_float,
ctypes.c_char_p
]
## we check the fill_value (we need it to be the maximum value in the array)
if fill_val == arr_filled.max():
pass
else:
fill_val_new = 1e+20
arr_filled[arr_filled == fill_val] = fill_val_new
fill_val = fill_val_new
#############################
arr_percentille = numpy.zeros([arr.shape[1],
arr.shape[2]]) # we reserve memory
# we compute the percentiles
C_percentile(arr_filled, arr_filled.shape[0], arr_filled.shape[1],
arr_filled.shape[2], arr_percentille, percentile, fill_val,
interpolation)
arr_percentille = arr_percentille.reshape(arr.shape[1], arr.shape[2])
return arr_percentille
def get_percentile_arr(arr, percentile, callback=None, callback_percentage_start_value=0,
callback_percentage_total=100, chunk_counter=1, precipitation=True, fill_val=None,
interpolation="hyndman_fan"):
'''
Returns an 2D array with computed percentile values.
:param arr: array of values (in case of precipitation, units must be `mm/day`)
:type arr: numpy.ndarray (3D) or numpy.ma.MaskedArray (3D) of float
:param dt_arr: corresponding time steps vector (base period: usually 1961-1990)
:type dt_arr: numpy.ndarray (1D) of datetime objects
:param percentile: percentile to compute which must be between 0 and 100 inclusive
:type percentile: int
:param callback: progress bar, if ``None`` progress bar will not be printed
:type callback: :func:`callback.defaultCallback2`
:param callback_percentage_start_value: init value for percentage of progress bar (default: 0)
:type callback_percentage_start_value: int
:param callback_percentage_total: final value for percentage of progress bar (default: 100)
:type callback_percentage_total: int
:param chunk_counter: chunk counter in case of chunking
:type chunk_counter: int
:param precipitation: if True, only values >=1.0 mm will be processed (i.e. wet days)
:type precipitation: bool
:param fill_val: fill value of ``arr``
:type fill_val: float
:rtype: numpy.ndarray (2D)
.. warning:: If "arr" is a masked array, the parameter "fill_val" is ignored, because it has no sense in this case.
'''
assert(arr.ndim == 3)
# we mask our array in case it has fill_values
arr_masked = get_masked_arr(arr, fill_val)
fill_val = arr_masked.fill_value
### not precipitation
if precipitation == False:
arr_filled = arr_masked.filled(fill_val)
### precipitation
else:
# we process only wet days (daily precip. amount >= 1.0 mm)
wet_arr = calc.get_wet_days(arr=arr_masked)
# we fill all masked values with fill_val to pass the filled array to the C function
arr_filled = wet_arr.filled(fill_val)
del arr_masked
############################## prepare calling C function
# data type should be 'float32' to pass it to C function
if arr_filled.dtype != 'float32':
arr_filled = numpy.array(arr_filled, dtype='float32')
C_percentile = libraryC.percentile_3d
C_percentile.restype = None
C_percentile.argtypes = [ndpointer(ctypes.c_float),
ctypes.c_int,
ctypes.c_int,
ctypes.c_int,
ndpointer(ctypes.c_double),
ctypes.c_int,
ctypes.c_float,
ctypes.c_char_p]
## we check the fill_value (we need it to be the maximum value in the array)
if fill_val == arr_filled.max():
pass
else:
fill_val_new = 1e+20
arr_filled[arr_filled==fill_val] = fill_val_new
fill_val = fill_val_new
#############################
arr_percentille = numpy.zeros([arr.shape[1], arr.shape[2]]) # we reserve memory
# we compute the percentiles
C_percentile(arr_filled, arr_filled.shape[0], arr_filled.shape[1], arr_filled.shape[2], arr_percentille, percentile, fill_val, interpolation)
arr_percentille = arr_percentille.reshape(arr.shape[1], arr.shape[2])
return arr_percentille