From 24b1b39ac9994a7a01416bebb5d076ca13f103ba Mon Sep 17 00:00:00 2001 From: samukweku Date: Tue, 26 Sep 2023 21:41:20 +1000 Subject: [PATCH 01/14] add function case_when, series method case_when --- pandas/__init__.py | 2 + pandas/core/api.py | 2 + pandas/core/case_when.py | 203 +++++++++++++++++++++++++++++++++++++++ pandas/core/series.py | 75 +++++++++++++++ 4 files changed, 282 insertions(+) create mode 100644 pandas/core/case_when.py diff --git a/pandas/__init__.py b/pandas/__init__.py index 41e34309232ee..18a462a3a08b6 100644 --- a/pandas/__init__.py +++ b/pandas/__init__.py @@ -73,6 +73,7 @@ notnull, # indexes Index, + case_when, CategoricalIndex, RangeIndex, MultiIndex, @@ -252,6 +253,7 @@ __all__ = [ "ArrowDtype", "BooleanDtype", + "case_when", "Categorical", "CategoricalDtype", "CategoricalIndex", diff --git a/pandas/core/api.py b/pandas/core/api.py index 2cfe5ffc0170d..f13ccdd98586f 100644 --- a/pandas/core/api.py +++ b/pandas/core/api.py @@ -42,6 +42,7 @@ UInt64Dtype, ) from pandas.core.arrays.string_ import StringDtype +from pandas.core.case_when import case_when from pandas.core.construction import array from pandas.core.flags import Flags from pandas.core.groupby import ( @@ -85,6 +86,7 @@ "ArrowDtype", "bdate_range", "BooleanDtype", + "case_when", "Categorical", "CategoricalDtype", "CategoricalIndex", diff --git a/pandas/core/case_when.py b/pandas/core/case_when.py new file mode 100644 index 0000000000000..93858b441eb98 --- /dev/null +++ b/pandas/core/case_when.py @@ -0,0 +1,203 @@ +from __future__ import annotations + +import numpy as np + +from pandas.core.dtypes.cast import ( + construct_1d_arraylike_from_scalar, + find_common_type, +) +from pandas.core.dtypes.common import ( + is_bool_dtype, + is_scalar, +) +from pandas.core.dtypes.generic import ABCSeries +from pandas.core.dtypes.missing import na_value_for_dtype + +from pandas.core.common import convert_to_list_like +from pandas.core.construction import array as pd_array + + +def case_when( + *args, + default=None, + level=None, +): + """ + Replace values where the conditions are True. + + Parameters + ---------- + args : Variable argument of conditions and expected replacements. + Takes the form: + `condition0`, `replacement0`, + `condition1`, `replacement1`, ... . + `condition` should be a 1-D boolean array. + The provided `conditions` should have the same size. + `replacement` should be a 1-D array or a scalar. + If `replacement` is a 1-D array, it should have the same + shape as the paired `condition`. + When multiple conditions are satisfied, the first one is used. + + default: scalar, one-dimensional array, default None + If provided, it is the replacement value to use + if all conditions evaluate to False. + If default is a 1-D array, it should have the same shape as + `condition` and `replacement`. + + level : int, default None + Alignment level if needed. + + .. versionchanged:: 2.2.0 + + Returns + ------- + Series + + See Also + -------- + Series.mask : Replace values where the condition is True. + + Examples + -------- + >>> s = pd.Series([2, 0, 4, 8, np.nan]) + + Boundary values are included by default: + + >>> s.between(1, 4) + 0 True + 1 False + 2 True + 3 False + 4 False + dtype: bool + + With `inclusive` set to ``"neither"`` boundary values are excluded: + + >>> s.between(1, 4, inclusive="neither") + 0 True + 1 False + 2 False + 3 False + 4 False + dtype: bool + + `left` and `right` can be any scalar value: + + >>> s = pd.Series(['Alice', 'Bob', 'Carol', 'Eve']) + >>> s.between('Anna', 'Daniel') + 0 False + 1 True + 2 True + 3 False + dtype: bool + """ + from pandas import Series + + len_args = len(args) + if not len_args: + raise ValueError( + "Kindly provide at least one boolean condition, " + "with a corresponding replacement." + ) + if len_args % 2: + raise ValueError( + "The number of boolean conditions should be equal " + "to the number of replacements. " + "However, the total number of conditions and replacements " + f"is {len(args)}, which is an odd number." + ) + + counter = len_args // 2 - 1 + counter = range(counter, -1, -1) + conditions = [] + for num, condition in zip(counter, args[-2::-2]): + if not hasattr(condition, "shape"): + condition = np.asanyarray(condition) + if condition.ndim > 1: + raise ValueError(f"condition{num} is not a one dimensional array.") + if not is_bool_dtype(condition): + raise ValueError(f"condition{num} is not a boolean array.") + conditions.append(condition) + bool_length = {condition.size for condition in conditions} + if len(bool_length) > 1: + raise ValueError("All boolean conditions should have the same length.") + bool_length = conditions[0].size + if default is not None: + if is_scalar(default): + default = construct_1d_arraylike_from_scalar( + default, length=bool_length, dtype=None + ) + default = convert_to_list_like(default) + if not hasattr(default, "shape"): + default = pd_array(default, copy=False) + if default.ndim > 1: + raise ValueError( + "The provided default argument should " + "either be a scalar or a 1-D array." + ) + if default.size != conditions[0].size: + raise ValueError( + "The length of the default argument should " + "be the same as the length of any " + "of the boolean conditions." + ) + replacements = [] + for num, replacement in zip(counter, args[-1::-2]): + if is_scalar(replacement): + replacement = construct_1d_arraylike_from_scalar( + replacement, length=bool_length, dtype=None + ) + replacement = convert_to_list_like(replacement) + if not hasattr(replacement, "shape"): + replacement = pd_array(replacement, copy=False) + if replacement.ndim > 1: + raise ValueError(f"replacement{num} should be a 1-D array.") + if replacement.size != bool_length: + raise ValueError( + f"The size of replacement{num} array" + f"does not match the size of condition{num} array." + ) + replacements.append(replacement) + common_dtype = [arr.dtype for arr in replacements] + if default is not None: + common_dtype.append(default.dtype) + if len(set(common_dtype)) > 1: + common_dtype = find_common_type(common_dtype) + replacements = [ + arr.astype(common_dtype, copy=False) + if isinstance(arr, ABCSeries) + else pd_array(arr, dtype=common_dtype, copy=False) + for arr in replacements + ] + if default is not None: + if isinstance(default, ABCSeries): + default = default.astype(common_dtype, copy=False) + else: + default = pd_array(default, dtype=common_dtype, copy=False) + else: + common_dtype = common_dtype[0] + + if default is not None: + if not isinstance(default, ABCSeries): + ser = Series(default) + else: + ser = default[:] + else: + ser = construct_1d_arraylike_from_scalar( + na_value_for_dtype(common_dtype, compat=False), + length=bool_length, + dtype=common_dtype, + ) + ser = Series(ser) + + for position, condition, replacement in zip(counter, conditions, replacements): + try: + ser = ser.mask( + condition, other=replacement, axis=0, inplace=False, level=level + ) + except Exception as error: + raise ValueError( + f"condition{position} and replacement{position} failed to evaluate. " + f"Original error message: {error}" + ) from error + return ser diff --git a/pandas/core/series.py b/pandas/core/series.py index d3a2bb1745cd1..b4007f3cb16b1 100644 --- a/pandas/core/series.py +++ b/pandas/core/series.py @@ -99,6 +99,7 @@ from pandas.core.arrays.arrow import StructAccessor from pandas.core.arrays.categorical import CategoricalAccessor from pandas.core.arrays.sparse import SparseAccessor +from pandas.core.case_when import case_when from pandas.core.construction import ( extract_array, sanitize_array, @@ -5441,6 +5442,80 @@ def between( return lmask & rmask + def case_when( + self, + *args, + level=None, + ) -> Series: + """ + Replace values where the conditions are True. + + Parameters + ---------- + args : Variable argument of conditions and expected replacements. + Takes the form: + `condition0`, `replacement0`, `condition1`, `replacement1`, ... + `condition` should be a 1-D boolean array-like object or a callable. + If `condition` is a callable, it is computed on the Series + and should return boolean Series or array. + The callable must not change input the Series + (though pandas doesn`t check it). `replacement` should be a + 1-D array-like object, a scalar or a callable. + If `replacement` is a callable, it is computed on the Series + and should return a scalar or Series. The callable + must not change the input Series + (though pandas doesn`t check it). + + level : int, default None + Alignment level if needed. + + .. versionchanged:: 2.2.0 + + Returns + ------- + Series + + See Also + -------- + Series.mask : Replace values where the condition is True. + + Examples + -------- + >>> s = pd.Series([2, 0, 4, 8, np.nan]) + + Boundary values are included by default: + + >>> s.between(1, 4) + 0 True + 1 False + 2 True + 3 False + 4 False + dtype: bool + + With `inclusive` set to ``"neither"`` boundary values are excluded: + + >>> s.between(1, 4, inclusive="neither") + 0 True + 1 False + 2 False + 3 False + 4 False + dtype: bool + + `left` and `right` can be any scalar value: + + >>> s = pd.Series(['Alice', 'Bob', 'Carol', 'Eve']) + >>> s.between('Anna', 'Daniel') + 0 False + 1 True + 2 True + 3 False + dtype: bool + """ + args = [com.apply_if_callable(arg, self) for arg in args] + return case_when(*args, default=self, level=level) + # ---------------------------------------------------------------------- # Convert to types that support pd.NA From b950101a70d3bf9863500e8c2405ac3193385513 Mon Sep 17 00:00:00 2001 From: samukweku Date: Tue, 26 Sep 2023 23:39:29 +1000 Subject: [PATCH 02/14] add example, test, whatsnew --- .../intro_tutorials/01_table_oriented.doctree | Bin 0 -> 31042 bytes .../intro_tutorials/02_read_write.doctree | Bin 0 -> 40580 bytes .../intro_tutorials/03_subset_data.doctree | Bin 0 -> 59851 bytes .../intro_tutorials/04_plotting.doctree | Bin 0 -> 31189 bytes .../intro_tutorials/05_add_columns.doctree | Bin 0 -> 28611 bytes .../06_calculate_statistics.doctree | Bin 0 -> 42653 bytes .../07_reshape_table_layout.doctree | Bin 0 -> 62820 bytes .../08_combine_dataframes.doctree | Bin 0 -> 49396 bytes .../intro_tutorials/09_timeseries.doctree | Bin 0 -> 57064 bytes .../intro_tutorials/10_text_data.doctree | Bin 0 -> 43228 bytes .../intro_tutorials/index.doctree | Bin 0 -> 3837 bytes 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