Fixed all warning.warn messages for space,full-stop etc issues

pandas/__init__.py

@@ -207,7 +207,7 @@ def __getattr__(name):
         warnings.warn(
             "The pandas.np module is deprecated "
             "and will be removed from pandas in a future version. "
-            "Import numpy directly instead",
+            "Import numpy directly instead.",
             FutureWarning,
             stacklevel=2,
         )
@@ -218,7 +218,7 @@ def __getattr__(name):
     elif name in {"SparseSeries", "SparseDataFrame"}:
         warnings.warn(
             f"The {name} class is removed from pandas. Accessing it from "
-            "the top-level namespace will also be removed in the next version",
+            "the top-level namespace will also be removed in the next version.",
             FutureWarning,
             stacklevel=2,
         )

pandas/_libs/parsers.pyx

@@ -1000,7 +1000,7 @@ cdef class TextReader:
                 if col_dtype is not None:
                     warnings.warn((f"Both a converter and dtype were specified "
                                    f"for column {name} - only the converter will "
-                                   f"be used"), ParserWarning,
+                                   f"be used."), ParserWarning,
                                   stacklevel=5)
                 results[i] = _apply_converter(conv, self.parser, i, start, end)
                 continue

pandas/_libs/tslibs/nattype.pyx

@@ -143,7 +143,7 @@ cdef class _NaT(datetime):
                 return True
             warnings.warn(
                 "Comparison of NaT with datetime.date is deprecated in "
-                "order to match the standard library behavior.  "
+                "order to match the standard library behavior. "
                 "In a future version these will be considered non-comparable.",
                 FutureWarning,
                 stacklevel=1,

pandas/_libs/tslibs/offsets.pyx

@@ -696,15 +696,15 @@ cdef class BaseOffset:
 
     def onOffset(self, dt) -> bool:
         warnings.warn(
-            "onOffset is a deprecated, use is_on_offset instead",
+            "onOffset is a deprecated, use is_on_offset instead.",
             FutureWarning,
             stacklevel=1,
         )
         return self.is_on_offset(dt)
 
     def isAnchored(self) -> bool:
         warnings.warn(
-            "isAnchored is a deprecated, use is_anchored instead",
+            "isAnchored is a deprecated, use is_anchored instead.",
             FutureWarning,
             stacklevel=1,
         )

pandas/_libs/tslibs/timedeltas.pyx

@@ -571,7 +571,7 @@ cdef inline timedelta_from_spec(object number, object frac, object unit):
         if unit in ["M", "Y", "y"]:
             warnings.warn(
                 "Units 'M', 'Y' and 'y' do not represent unambiguous "
-                "timedelta values and will be removed in a future version",
+                "timedelta values and will be removed in a future version.",
                 FutureWarning,
                 stacklevel=2,
             )

pandas/_libs/tslibs/timestamps.pyx

@@ -171,7 +171,7 @@ cdef class _Timestamp(ABCTimestamp):
     @property
     def freq(self):
         warnings.warn(
-            "Timestamp.freq is deprecated and will be removed in a future version",
+            "Timestamp.freq is deprecated and will be removed in a future version.",
             FutureWarning,
             stacklevel=1,
         )
@@ -235,8 +235,8 @@ cdef class _Timestamp(ABCTimestamp):
             # We follow the stdlib datetime behavior of never being equal
             warnings.warn(
                 "Comparison of Timestamp with datetime.date is deprecated in "
-                "order to match the standard library behavior.  "
-                "In a future version these will be considered non-comparable."
+                "order to match the standard library behavior. "
+                "In a future version these will be considered non-comparable. "
                 "Use 'ts == pd.Timestamp(date)' or 'ts.date() == date' instead.",
                 FutureWarning,
                 stacklevel=1,
@@ -425,7 +425,7 @@ cdef class _Timestamp(ABCTimestamp):
                 warnings.warn(
                     "Timestamp.freq is deprecated and will be removed in a future "
                     "version. When you have a freq, use "
-                    f"freq.{field}(timestamp) instead",
+                    f"freq.{field}(timestamp) instead.",
                     FutureWarning,
                     stacklevel=1,
                 )
@@ -858,7 +858,7 @@ cdef class _Timestamp(ABCTimestamp):
         NaT
         """
         if self.nanosecond != 0 and warn:
-            warnings.warn("Discarding nonzero nanoseconds in conversion",
+            warnings.warn("Discarding nonzero nanoseconds in conversion.",
                           UserWarning, stacklevel=2)
 
         return datetime(self.year, self.month, self.day,

pandas/core/arrays/datetimelike.py

@@ -1186,7 +1186,7 @@ def _addsub_object_array(self, other: np.ndarray, op):
 
         warnings.warn(
             "Adding/subtracting object-dtype array to "
-            f"{type(self).__name__} not vectorized",
+            f"{type(self).__name__} not vectorized.",
             PerformanceWarning,
         )
 

pandas/core/arrays/datetimes.py

@@ -744,7 +744,7 @@ def _add_offset(self, offset) -> DatetimeArray:
 
         except NotImplementedError:
             warnings.warn(
-                "Non-vectorized DateOffset being applied to Series or DatetimeIndex",
+                "Non-vectorized DateOffset being applied to Series or DatetimeIndex.",
                 PerformanceWarning,
             )
             result = self.astype("O") + offset
@@ -1186,8 +1186,8 @@ def to_perioddelta(self, freq) -> TimedeltaArray:
         # Deprecaation GH#34853
         warnings.warn(
             "to_perioddelta is deprecated and will be removed in a "
-            "future version.  "
-            "Use `dtindex - dtindex.to_period(freq).to_timestamp()` instead",
+            "future version. "
+            "Use `dtindex - dtindex.to_period(freq).to_timestamp()` instead.",
             FutureWarning,
             # stacklevel chosen to be correct for when called from DatetimeIndex
             stacklevel=3,
@@ -1353,7 +1353,7 @@ def weekofyear(self):
         warnings.warn(
             "weekofyear and week have been deprecated, please use "
             "DatetimeIndex.isocalendar().week instead, which returns "
-            "a Series.  To exactly reproduce the behavior of week and "
+            "a Series. To exactly reproduce the behavior of week and "
             "weekofyear and return an Index, you may call "
             "pd.Int64Index(idx.isocalendar().week)",
             FutureWarning,

pandas/core/arrays/sparse/array.py

@@ -407,7 +407,7 @@ def __init__(
                 if is_datetime64tz_dtype(data.dtype):
                     warnings.warn(
                         f"Creating SparseArray from {data.dtype} data "
-                        "loses timezone information.  Cast to object before "
+                        "loses timezone information. Cast to object before "
                         "sparse to retain timezone information.",
                         UserWarning,
                         stacklevel=2,

pandas/core/computation/align.py

@@ -124,7 +124,7 @@ def _align_core(terms):
                     w = (
                         f"Alignment difference on axis {axis} is larger "
                         f"than an order of magnitude on term {repr(terms[i].name)}, "
-                        f"by more than {ordm:.4g}; performance may suffer"
+                        f"by more than {ordm:.4g}; performance may suffer."
                     )
                     warnings.warn(w, category=PerformanceWarning, stacklevel=6)
 

pandas/core/computation/expressions.py

@@ -214,7 +214,7 @@ def _bool_arith_fallback(op_str, a, b):
             warnings.warn(
                 f"evaluating in Python space because the {repr(op_str)} "
                 "operator is not supported by numexpr for the bool dtype, "
-                f"use {repr(_BOOL_OP_UNSUPPORTED[op_str])} instead"
+                f"use {repr(_BOOL_OP_UNSUPPORTED[op_str])} instead."
             )
             return True
     return False

pandas/core/construction.py

@@ -767,7 +767,7 @@ def _try_cast(
                 f"Could not cast to {dtype}, falling back to object. This "
                 "behavior is deprecated. In a future version, when a dtype is "
                 "passed to 'DataFrame', either all columns will be cast to that "
-                "dtype, or a TypeError will be raised",
+                "dtype, or a TypeError will be raised.",
                 FutureWarning,
                 stacklevel=7,
             )

pandas/core/dtypes/cast.py

@@ -2085,7 +2085,7 @@ def maybe_cast_to_integer_array(
         warnings.warn(
             f"Constructing Series or DataFrame from {arr.dtype} values and "
             f"dtype={dtype} is deprecated and will raise in a future version. "
-            "Use values.view(dtype) instead",
+            "Use values.view(dtype) instead.",
             FutureWarning,
             stacklevel=find_stack_level(),
         )

pandas/core/dtypes/common.py

@@ -302,8 +302,8 @@ def is_categorical(arr) -> bool:
     True
     """
     warnings.warn(
-        "is_categorical is deprecated and will be removed in a future version.  "
-        "Use is_categorical_dtype instead",
+        "is_categorical is deprecated and will be removed in a future version. "
+        "Use is_categorical_dtype instead.",
         FutureWarning,
         stacklevel=2,
     )

pandas/core/frame.py

@@ -4542,9 +4542,9 @@ def lookup(
             The found values.
         """
         msg = (
-            "The 'lookup' method is deprecated and will be"
-            "removed in a future version."
-            "You can use DataFrame.melt and DataFrame.loc"
+            "The 'lookup' method is deprecated and will be "
+            "removed in a future version. "
+            "You can use DataFrame.melt and DataFrame.loc "
             "as a substitute."
         )
         warnings.warn(msg, FutureWarning, stacklevel=2)

pandas/core/generic.py

@@ -8970,7 +8970,7 @@ def where(
         if try_cast is not lib.no_default:
             warnings.warn(
                 "try_cast keyword is deprecated and will be removed in a "
-                "future version",
+                "future version.",
                 FutureWarning,
                 stacklevel=4,
             )
@@ -9003,7 +9003,7 @@ def mask(
         if try_cast is not lib.no_default:
             warnings.warn(
                 "try_cast keyword is deprecated and will be removed in a "
-                "future version",
+                "future version.",
                 FutureWarning,
                 stacklevel=4,
             )
@@ -9196,7 +9196,7 @@ def slice_shift(self: FrameOrSeries, periods: int = 1, axis=0) -> FrameOrSeries:
         msg = (
             "The 'slice_shift' method is deprecated "
             "and will be removed in a future version. "
-            "You can use DataFrame/Series.shift instead"
+            "You can use DataFrame/Series.shift instead."
         )
         warnings.warn(msg, FutureWarning, stacklevel=2)
 
@@ -10838,7 +10838,7 @@ def expanding(
         axis = self._get_axis_number(axis)
         if center is not None:
             warnings.warn(
-                "The `center` argument on `expanding` will be removed in the future",
+                "The `center` argument on `expanding` will be removed in the future.",
                 FutureWarning,
                 stacklevel=2,
             )

pandas/core/index.py

@@ -23,7 +23,7 @@
 
 # GH#30193
 warnings.warn(
-    "pandas.core.index is deprecated and will be removed in a future version.  "
+    "pandas.core.index is deprecated and will be removed in a future version. "
     "The public classes are available in the top-level namespace.",
     FutureWarning,
     stacklevel=2,

pandas/core/indexes/accessors.py

@@ -283,7 +283,7 @@ def weekofyear(self):
         Please use Series.dt.isocalendar().week instead.
         """
         warnings.warn(
-            "Series.dt.weekofyear and Series.dt.week have been deprecated.  "
+            "Series.dt.weekofyear and Series.dt.week have been deprecated. "
             "Please use Series.dt.isocalendar().week instead.",
             FutureWarning,
             stacklevel=2,

pandas/core/indexes/base.py

@@ -387,7 +387,7 @@ def __new__(
             warnings.warn(
                 "Passing keywords other than 'data', 'dtype', 'copy', 'name', "
                 "'tupleize_cols' is deprecated and will raise TypeError in a "
-                "future version.  Use the specific Index subclass directly instead",
+                "future version.  Use the specific Index subclass directly instead.",
                 FutureWarning,
                 stacklevel=2,
             )
@@ -620,7 +620,7 @@ def asi8(self):
             An ndarray with int64 dtype.
         """
         warnings.warn(
-            "Index.asi8 is deprecated and will be removed in a future version",
+            "Index.asi8 is deprecated and will be removed in a future version.",
             FutureWarning,
             stacklevel=2,
         )
@@ -2469,8 +2469,8 @@ def is_all_dates(self) -> bool:
         Whether or not the index values only consist of dates.
         """
         warnings.warn(
-            "Index.is_all_dates is deprecated, will be removed in a future version.  "
-            "check index.inferred_type instead",
+            "Index.is_all_dates is deprecated, will be removed in a future version. "
+            "check index.inferred_type instead.",
             FutureWarning,
             stacklevel=2,
         )
@@ -2835,7 +2835,7 @@ def __and__(self, other):
         warnings.warn(
             "Index.__and__ operating as a set operation is deprecated, "
             "in the future this will be a logical operation matching "
-            "Series.__and__.  Use index.intersection(other) instead",
+            "Series.__and__.  Use index.intersection(other) instead.",
             FutureWarning,
             stacklevel=2,
         )
@@ -2846,7 +2846,7 @@ def __or__(self, other):
         warnings.warn(
             "Index.__or__ operating as a set operation is deprecated, "
             "in the future this will be a logical operation matching "
-            "Series.__or__.  Use index.union(other) instead",
+            "Series.__or__.  Use index.union(other) instead.",
             FutureWarning,
             stacklevel=2,
         )
@@ -2857,7 +2857,7 @@ def __xor__(self, other):
         warnings.warn(
             "Index.__xor__ operating as a set operation is deprecated, "
             "in the future this will be a logical operation matching "
-            "Series.__xor__.  Use index.symmetric_difference(other) instead",
+            "Series.__xor__.  Use index.symmetric_difference(other) instead.",
             FutureWarning,
             stacklevel=2,
         )
@@ -3455,7 +3455,7 @@ def get_loc(self, key, method=None, tolerance=None):
         warnings.warn(
             f"Passing method to {type(self).__name__}.get_loc is deprecated "
             "and will raise in a future version. Use "
-            "index.get_indexer([item], method=...) instead",
+            "index.get_indexer([item], method=...) instead.",
             FutureWarning,
             stacklevel=2,
         )
@@ -3964,7 +3964,7 @@ def reindex(
                     # GH#42568
                     warnings.warn(
                         "reindexing with a non-unique Index is deprecated and "
-                        "will raise in a future version",
+                        "will raise in a future version.",
                         FutureWarning,
                         stacklevel=2,
                     )
@@ -4695,7 +4695,7 @@ def is_type_compatible(self, kind: str_t) -> bool:
         """
         warnings.warn(
             "Index.is_type_compatible is deprecated and will be removed in a "
-            "future version",
+            "future version.",
             FutureWarning,
             stacklevel=2,
         )
@@ -5311,7 +5311,7 @@ def get_value(self, series: Series, key):
         """
         warnings.warn(
             "get_value is deprecated and will be removed in a future version. "
-            "Use Series[key] instead",
+            "Use Series[key] instead.",
             FutureWarning,
             stacklevel=2,
         )
@@ -6861,7 +6861,7 @@ def _maybe_try_sort(result, sort):
             result = algos.safe_sort(result)
         except TypeError as err:
             warnings.warn(
-                f"{err}, sort order is undefined for incomparable objects",
+                f"{err}, sort order is undefined for incomparable objects.",
                 RuntimeWarning,
                 stacklevel=4,
             )

pandas/core/indexes/category.py

@@ -216,7 +216,7 @@ def __new__(
             warnings.warn(
                 "Constructing a CategoricalIndex without passing data is "
                 "deprecated and will raise in a future version. "
-                "Use CategoricalIndex([], ...) instead",
+                "Use CategoricalIndex([], ...) instead.",
                 FutureWarning,
                 stacklevel=2,
             )
@@ -430,7 +430,7 @@ def reindex(
                 # GH#42568
                 warnings.warn(
                     "reindexing with a non-unique Index is deprecated and will "
-                    "raise in a future version",
+                    "raise in a future version.",
                     FutureWarning,
                     stacklevel=2,
                 )
@@ -504,7 +504,8 @@ def _is_comparable_dtype(self, dtype: DtypeObj) -> bool:
     def take_nd(self, *args, **kwargs):
         """Alias for `take`"""
         warnings.warn(
-            "CategoricalIndex.take_nd is deprecated, use CategoricalIndex.take instead",
+            "CategoricalIndex.take_nd is deprecated, use CategoricalIndex.take "
+            "instead.",
             FutureWarning,
             stacklevel=2,
         )

pandas/core/indexes/datetimelike.py

@@ -556,7 +556,7 @@ def _has_complex_internals(self) -> bool:
     def is_type_compatible(self, kind: str) -> bool:
         warnings.warn(
             f"{type(self).__name__}.is_type_compatible is deprecated and will be "
-            "removed in a future version",
+            "removed in a future version.",
             FutureWarning,
             stacklevel=2,
         )