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,
  )