Closed
Description
In #37556 # type: ignore were added to silence mypy errors to be fixed 'later'. If an ignore is needed due to a error with the type checker, a comment with a reference to the mypy issue on the github mypy issue tracker should be included.
Further investigation or PRs welcome removing these ignores or adding comments with links to mypy issues if applicable. PRs should include 'xref #37715'
PRs could address just one error, a small handful of related errors or a complete module.
grep -Ern "type: ?ignore" pandas/ currently gives 207 matches
pandas/tests/internals/test_internals.py:1258: assert df._mgr.blocks[0].values is arr # type:ignore[union-attr]
pandas/tests/indexes/object/test_indexing.py:73: (pd.IndexSlice["b":"y":-1], ""), # type: ignore[misc]
pandas/tests/indexes/object/test_indexing.py:74: (pd.IndexSlice["b"::-1], "b"), # type: ignore[misc]
pandas/tests/indexes/object/test_indexing.py:75: (pd.IndexSlice[:"b":-1], "yxdcb"), # type: ignore[misc]
pandas/tests/indexes/object/test_indexing.py:76: (pd.IndexSlice[:"y":-1], "y"), # type: ignore[misc]
pandas/tests/indexes/object/test_indexing.py:77: (pd.IndexSlice["y"::-1], "yxdcb"), # type: ignore[misc]
pandas/tests/indexes/object/test_indexing.py:78: (pd.IndexSlice["y"::-4], "yb"), # type: ignore[misc]
pandas/tests/indexes/object/test_indexing.py:80: (pd.IndexSlice[:"a":-1], "yxdcb"), # type: ignore[misc]
pandas/tests/indexes/object/test_indexing.py:81: (pd.IndexSlice[:"a":-2], "ydb"), # type: ignore[misc]
pandas/tests/indexes/object/test_indexing.py:82: (pd.IndexSlice["z"::-1], "yxdcb"), # type: ignore[misc]
pandas/tests/indexes/object/test_indexing.py:83: (pd.IndexSlice["z"::-3], "yc"), # type: ignore[misc]
pandas/tests/indexes/object/test_indexing.py:84: (pd.IndexSlice["m"::-1], "dcb"), # type: ignore[misc]
pandas/tests/indexes/object/test_indexing.py:85: (pd.IndexSlice[:"m":-1], "yx"), # type: ignore[misc]
pandas/tests/indexes/object/test_indexing.py:86: (pd.IndexSlice["a":"a":-1], ""), # type: ignore[misc]
pandas/tests/indexes/object/test_indexing.py:87: (pd.IndexSlice["z":"z":-1], ""), # type: ignore[misc]
pandas/tests/indexes/object/test_indexing.py:88: (pd.IndexSlice["m":"m":-1], ""), # type: ignore[misc]
pandas/tests/frame/indexing/test_setitem.py:229: + ["datetime64[ns, UTC]", "period[D]"], # type: ignore[list-item]
pandas/tests/io/xml/test_xml.py:683: filename, names="Col1, Col2, Col3", parser=parser # type: ignore[arg-type]
pandas/conftest.py:330: params=[pd.Index, pd.Series], ids=["index", "series"] # type: ignore[list-item]
pandas/_testing/_io.py:98: args = [] # type: ignore[assignment]
pandas/_testing/_io.py:219: errno = getattr(err.reason, "errno", None) # type: ignore[attr-defined]
pandas/_testing/__init__.py:574: idx = idx_func(nentries) # type: ignore[operator]
pandas/util/_decorators.py:93: return wrapper # type: ignore[return-value]
pandas/util/_decorators.py:341: func.__signature__ = sig # type: ignore[attr-defined]
pandas/util/_decorators.py:380: docstring._docstring_components # type: ignore[union-attr]
pandas/util/_decorators.py:396: decorated._docstring_components = ( # type: ignore[attr-defined]
pandas/core/generic.py:755: new_values, *new_axes # type: ignore[arg-type]
pandas/core/generic.py:4344: return self.rename(**mapper) # type: ignore[return-value, arg-type]
pandas/core/generic.py:4408: return self.rename(**mapper) # type: ignore[return-value, arg-type]
pandas/core/generic.py:10600: cls.any = any # type: ignore[assignment]
pandas/core/generic.py:10620: cls.all = all # type: ignore[assignment]
pandas/core/generic.py:10625: NDFrame.mad.__doc__, # type: ignore[arg-type]
pandas/core/generic.py:10638: cls.mad = mad # type: ignore[assignment]
pandas/core/generic.py:10661: cls.sem = sem # type: ignore[assignment]
pandas/core/generic.py:10683: cls.var = var # type: ignore[assignment]
pandas/core/generic.py:10706: cls.std = std # type: ignore[assignment]
pandas/core/generic.py:10721: cls.cummin = cummin # type: ignore[assignment]
pandas/core/generic.py:10736: cls.cummax = cummax # type: ignore[assignment]
pandas/core/generic.py:10751: cls.cumsum = cumsum # type: ignore[assignment]
pandas/core/generic.py:10766: cls.cumprod = cumprod # type: ignore[assignment]
pandas/core/generic.py:10793: cls.sum = sum # type: ignore[assignment]
pandas/core/generic.py:10819: cls.prod = prod # type: ignore[assignment]
pandas/core/generic.py:10836: cls.mean = mean # type: ignore[assignment]
pandas/core/generic.py:10852: cls.skew = skew # type: ignore[assignment]
pandas/core/generic.py:10871: cls.kurt = kurt # type: ignore[assignment]
pandas/core/generic.py:10890: cls.median = median # type: ignore[assignment]
pandas/core/generic.py:10908: cls.max = max # type: ignore[assignment]
pandas/core/generic.py:10926: cls.min = min # type: ignore[assignment]
pandas/core/generic.py:11049: return self._inplace_method(other, type(self).__add__) # type: ignore[operator]
pandas/core/generic.py:11052: return self._inplace_method(other, type(self).__sub__) # type: ignore[operator]
pandas/core/generic.py:11055: return self._inplace_method(other, type(self).__mul__) # type: ignore[operator]
pandas/core/generic.py:11059: other, type(self).__truediv__ # type: ignore[operator]
pandas/core/generic.py:11064: other, type(self).__floordiv__ # type: ignore[operator]
pandas/core/generic.py:11068: return self._inplace_method(other, type(self).__mod__) # type: ignore[operator]
pandas/core/generic.py:11071: return self._inplace_method(other, type(self).__pow__) # type: ignore[operator]
pandas/core/generic.py:11074: return self._inplace_method(other, type(self).__and__) # type: ignore[operator]
pandas/core/generic.py:11077: return self._inplace_method(other, type(self).__or__) # type: ignore[operator]
pandas/core/generic.py:11080: return self._inplace_method(other, type(self).__xor__) # type: ignore[operator]
pandas/core/dtypes/generic.py:43: @classmethod # type: ignore[misc]
pandas/core/dtypes/common.py:160: return arr.astype("int64", copy=copy, casting="safe") # type: ignore[call-arg]
pandas/core/dtypes/common.py:165: return arr.astype("uint64", copy=copy, casting="safe") # type: ignore[call-arg]
pandas/core/dtypes/cast.py:588: dtype, fill_value, type(fill_value) # type: ignore[arg-type]
pandas/core/dtypes/dtypes.py:680: unit, tz = unit.unit, unit.tz # type: ignore[attr-defined]
pandas/core/arrays/datetimelike.py:539: other = self._scalar_type(other) # type: ignore[call-arg]
pandas/core/arrays/datetimelike.py:590: fill_value = self._scalar_type(fill_value) # type: ignore[call-arg]
pandas/core/arrays/datetimelike.py:598: new_fill = self._scalar_type(fill_value) # type: ignore[call-arg]
pandas/core/arrays/datetimelike.py:660: value = self._scalar_type(value) # type: ignore[call-arg]
pandas/core/arrays/datetimelike.py:953: return self._resolution_obj.attrname # type: ignore[union-attr]
pandas/core/arrays/datetimelike.py:1777: uniques = uniques[::-1] # type: ignore[assignment]
pandas/core/arrays/string_.py:213: self._dtype = StringDtype() # type: ignore[assignment]
pandas/core/arrays/period.py:326: @property # type: ignore[misc]
pandas/core/arrays/boolean.py:81: def type(self) -> Type: # type: ignore[override]
pandas/core/arrays/interval.py:1350: @property # type: ignore[misc]
pandas/core/arrays/interval.py:1572: left = self._combined.view("complex128") # type:ignore[attr-defined]
pandas/core/arrays/floating.py:81: [t.numpy_dtype for t in dtypes], [] # type: ignore[union-attr]
pandas/core/internals/array_manager.py:151: def axes(self) -> List[Index]: # type: ignore[override]
pandas/core/internals/array_manager.py:457: if hasattr(arr, "tz") and arr.tz is None: # type: ignore[union-attr]
pandas/core/internals/array_manager.py:459: arr = arr._data # type: ignore[union-attr]
pandas/core/internals/array_manager.py:462: arr = arr._data # type: ignore[union-attr]
pandas/core/series.py:669: @Appender(base.IndexOpsMixin.array.__doc__) # type: ignore[misc]
pandas/core/series.py:1097: self._mgr = self._mgr.setitem( # type: ignore[assignment]
pandas/core/apply.py:563: new_func[k] = [v] # type:ignore[list-item]
pandas/core/nanops.py:1751: result = type(values)._simple_new( # type: ignore[attr-defined]
pandas/core/groupby/categorical.py:108: return ci.set_categories(c.categories) # type: ignore[attr-defined]
pandas/core/groupby/categorical.py:113: return ci.add_categories(new_cats) # type: ignore[attr-defined]
pandas/core/groupby/base.py:60: subset = self.obj # type: ignore[attr-defined]
pandas/core/groupby/base.py:69: groupby = self._groupby[key] # type: ignore[attr-defined]
pandas/core/groupby/base.py:72: groupby = self._groupby # type: ignore[attr-defined]
pandas/core/groupby/base.py:78: subset, groupby=groupby, parent=self, **kwargs # type: ignore[call-arg]
pandas/core/groupby/grouper.py:306: self.grouper, _, self.obj = get_grouper( # type: ignore[type-var]
pandas/core/groupby/grouper.py:393: return self.grouper.groups # type: ignore[union-attr]
pandas/core/indexes/datetimelike.py:85: @staticmethod # type: ignore[misc]
pandas/core/indexes/datetimelike.py:131: DatetimeLikeArrayMixin._hasnans.fget # type: ignore[attr-defined]
pandas/core/indexes/period.py:193: @property # type:ignore[misc]
pandas/core/indexes/period.py:200: @property # type:ignore[misc]
pandas/core/indexes/period.py:207: @property # type:ignore[misc]
pandas/core/indexes/category.py:347: ("ordered", self.ordered), # type: ignore[attr-defined]
pandas/core/indexes/base.py:6174: name = index_like.name # type: ignore[union-attr, attr-defined]
pandas/core/indexes/frozen.py:107: __setitem__ = __setslice__ = _disabled # type: ignore[assignment]
pandas/core/indexes/frozen.py:108: __delitem__ = __delslice__ = _disabled # type: ignore[assignment]
pandas/core/indexes/frozen.py:109: pop = append = extend = _disabled # type: ignore[assignment]
pandas/core/indexes/frozen.py:110: remove = sort = insert = _disabled # type: ignore[assignment]
pandas/core/indexes/multi.py:1479: self._names[lev] = name # type: ignore[has-type]
pandas/core/common.py:497: return values # type: ignore[return-value]
pandas/core/reshape/merge.py:1028: join_names = [] # type: ignore[var-annotated]
pandas/core/ops/array_ops.py:372: res_values = filler(res_values) # type: ignore[operator]
pandas/core/base.py:118: mem = self.memory_usage(deep=True) # type: ignore[attr-defined]
pandas/core/base.py:229: self.obj, ABCSeries # type: ignore[attr-defined]
pandas/core/base.py:232: return self.obj # type: ignore[attr-defined]
pandas/core/base.py:235: return self.obj[self._selection] # type: ignore[attr-defined]
pandas/core/base.py:245: self.obj, ABCDataFrame # type: ignore[attr-defined]
pandas/core/base.py:248: return self.obj.reindex( # type: ignore[attr-defined]
pandas/core/base.py:253: if len(self.exclusions) > 0: # type: ignore[attr-defined]
pandas/core/base.py:256: return self.obj.drop(self.exclusions, axis=1) # type: ignore[attr-defined]
pandas/core/base.py:259: return self.obj # type: ignore[attr-defined]
pandas/core/base.py:268: self.obj.columns.intersection(key) # type: ignore[attr-defined]
pandas/core/base.py:272: set(key).difference(self.obj.columns) # type: ignore[attr-defined]
pandas/core/base.py:279: if key not in self.obj.columns: # type: ignore[attr-defined]
pandas/core/base.py:285: if key not in self.obj: # type: ignore[attr-defined]
pandas/core/base.py:611: return self.array.to_numpy( # type: ignore[call-arg]
pandas/core/base.py:924: self = cast("Categorical", self) # type: ignore[assignment]
pandas/core/base.py:927: return self._values.map(mapper) # type: ignore[union-attr]
pandas/core/base.py:945: values = self.astype(object)._values # type: ignore[attr-defined]
pandas/core/base.py:1183: return self.array.memory_usage(deep=deep) # type: ignore[attr-defined]
pandas/core/base.py:1318: return self[~duplicated] # type: ignore[index]
pandas/core/frame.py:1219: itertuple = collections.namedtuple( # type: ignore[misc]
pandas/core/frame.py:1236: def dot(self, other: Series) -> Series: # type: ignore[misc]
pandas/core/frame.py:2339: from pandas.io.stata import ( # type: ignore[no-redef]
pandas/core/frame.py:2344: from pandas.io.stata import ( # type: ignore[no-redef]
pandas/core/frame.py:2357: writer = statawriter( # type: ignore[call-arg]
pandas/core/frame.py:4082: unique_dtype.type, tuple(dtypes_set) # type: ignore[arg-type]
pandas/core/frame.py:5100: arrays.append(col) # type:ignore[arg-type]
pandas/core/frame.py:5144: def reset_index( # type: ignore[misc]
pandas/core/frame.py:5783: def sort_values( # type: ignore[override]
pandas/core/frame.py:6385: right._mgr, array_op # type: ignore[arg-type]
pandas/core/resample.py:142: self.grouper = None # type: ignore[assignment]
pandas/core/resample.py:465: self.loffset, # type: ignore[has-type]
pandas/core/resample.py:474: result.index = result.index + self.loffset # type: ignore[has-type]
pandas/core/resample.py:911: return self._downsample("std", ddof=ddof) # type: ignore[call-arg]
pandas/core/resample.py:929: return self._downsample("var", ddof=ddof) # type: ignore[call-arg]
pandas/core/resample.py:989: return self._downsample("quantile", q=q, **kwargs) # type: ignore[call-arg]
pandas/core/resample.py:1042: super().__init__(None) # type: ignore[call-arg]
pandas/core/resample.py:1109: and len(self.grouper.binlabels) > len(ax) # type: ignore[attr-defined]
pandas/core/config_init.py:332: ip = get_ipython() # type: ignore[name-defined]
pandas/core/computation/pytables.py:88: @property # type: ignore[misc]
pandas/core/computation/ops.py:89: supr_new = super(Term, klass).__new__ # type: ignore[misc]
pandas/core/computation/ops.py:610: operands = [op(env) for op in self.operands] # type: ignore[operator]
pandas/core/computation/expr.py:677: f"Invalid function call {node.func.id}" # type: ignore[attr-defined]
pandas/core/computation/expr.py:701: "keyword error in function call " # type: ignore[attr-defined]
pandas/core/computation/expressions.py:241: return _evaluate(op, op_str, a, b) # type: ignore[misc]
pandas/core/computation/scope.py:136: self.scope = self.scope.new_child( # type: ignore[assignment]
pandas/core/computation/scope.py:142: self.scope = self.scope.new_child( # type: ignore[assignment]
pandas/core/computation/scope.py:151: resolvers += tuple(local_dict.resolvers.maps) # type: ignore[has-type]
pandas/core/computation/scope.py:239: mapping[new_key] = new_value # type: ignore[index]
pandas/core/computation/scope.py:260: self.scope = self.scope.new_child(d) # type: ignore[assignment]
pandas/core/computation/scope.py:333: + self.resolvers.maps # type: ignore[operator]
pandas/core/computation/scope.py:334: + self.scope.maps # type: ignore[operator]
pandas/compat/pickle_compat.py:74: def __new__(cls) -> Series: # type: ignore[misc]
pandas/compat/pickle_compat.py:92: def __new__(cls) -> DataFrame: # type: ignore[misc]
pandas/compat/pickle_compat.py:191:class Unpickler(pkl._Unpickler): # type: ignore[name-defined]
pandas/plotting/_matplotlib/core.py:608: self.legend_handles = reversed( # type: ignore[assignment]
pandas/plotting/_matplotlib/core.py:614: self.legend_labels = reversed( # type: ignore[assignment]
pandas/plotting/_matplotlib/core.py:708: args = (x, y) # type: ignore[assignment]
pandas/plotting/_matplotlib/core.py:1161: plotf = self._plot # type: ignore[assignment]
pandas/plotting/_matplotlib/core.py:1611: blabels = None # type: ignore[assignment]
pandas/plotting/_matplotlib/timeseries.py:68: series.index = series.index.asfreq( # type: ignore[attr-defined]
pandas/plotting/_matplotlib/timeseries.py:248: weekdays = np.unique(index.dayofweek) # type: ignore[attr-defined]
pandas/plotting/_misc.py:534: self.__init__() # type: ignore[misc]
pandas/io/formats/excel.py:632: gen2 = ( # type: ignore[assignment]
pandas/io/formats/excel.py:838: writer = ExcelWriter( # type: ignore[abstract]
pandas/io/formats/printing.py:507: return head, tail # type: ignore[return-value]
pandas/io/formats/printing.py:532: attrs.append(("dtype", f"'{obj.dtype}'")) # type: ignore[attr-defined]
pandas/io/formats/printing.py:535: attrs.append(("name", default_pprint(obj.name))) # type: ignore[attr-defined]
pandas/io/formats/printing.py:538: obj.names # type: ignore[attr-defined]
pandas/io/formats/printing.py:541: attrs.append(("names", default_pprint(obj.names))) # type: ignore[attr-defined]
pandas/io/formats/console.py:73: return __IPYTHON__ or check_main() # type: ignore[name-defined]
pandas/io/formats/console.py:88: ip = get_ipython() # type: ignore[name-defined]
pandas/io/formats/style.py:1847: class MyStyler(cls): # type:ignore[valid-type,misc]
pandas/io/formats/csvs.py:252: handles.handle, # type: ignore[arg-type]
pandas/io/formats/xml.py:278: handles.handle.write(xml_doc) # type: ignore[arg-type]
pandas/io/formats/format.py:1384: float_format(value=v) # type: ignore[operator,call-arg]
pandas/io/pytables.py:2362: itemsize = dtype.itemsize # type: ignore[attr-defined]
pandas/io/pytables.py:3440: return dict(d1 + d2 + d3) # type: ignore[operator]
pandas/io/pytables.py:4025: blocks = list(mgr.blocks) # type: ignore[union-attr]
pandas/io/pytables.py:4029: blocks.extend(mgr.blocks) # type: ignore[union-attr]
pandas/io/pickle.py:107: pickle.dumps(obj, protocol=protocol) # type: ignore[arg-type]
pandas/io/pickle.py:112: obj, handles.handle, protocol=protocol # type: ignore[arg-type]
pandas/io/pickle.py:207: return pickle.load(handles.handle) # type: ignore[arg-type]
pandas/io/excel/_base.py:927: for extension in cls.supported_extensions # type: ignore[attr-defined]
pandas/io/excel/_base.py:1003: zf = zipfile.ZipFile(stream) # type: ignore[arg-type]
pandas/io/stata.py:914: self.TYPE_MAP = list(range(251)) + list("bhlfd") # type: ignore[arg-type]
pandas/io/stata.py:1094: self.path_or_buf = BytesIO(handles.handle.read()) # type: ignore[arg-type]
pandas/io/stata.py:2211: to_write.encode(self._encoding) # type: ignore[arg-type]
pandas/io/stata.py:2218: self.handles.handle.write(value) # type: ignore[arg-type]
pandas/io/stata.py:2542: self.handles.handle.write(bio.getvalue()) # type: ignore[arg-type]
pandas/io/json/_json.py:1045: ) # type:ignore[misc]
pandas/io/common.py:518: ) # type: ignore[operator]
pandas/io/common.py:628: fileobj=handle, # type: ignore[arg-type]
pandas/io/common.py:636: handle, # type: ignore[arg-type]
pandas/io/common.py:693: handle, # type: ignore[arg-type]
pandas/io/common.py:731:class _BytesZipFile(zipfile.ZipFile, BytesIO): # type: ignore[misc]
pandas/io/common.py:755: super().__init__(file, mode, **kwargs_zip) # type: ignore[arg-type]
pandas/io/common.py:852: wrapped = cast(mmap.mmap, _MMapWrapper(handle)) # type: ignore[arg-type]
pandas/io/parsers/c_parser_wrapper.py:48: self.handles.handle = self.handles.handle.mmap # type: ignore[union-attr]
pandas/io/parsers/readers.py:976: return mapping[engine](self.f, **self.options) # type: ignore[call-arg]
pandas/io/parsers/python_parser.py:243: self.data = reader # type: ignore[assignment]
pandas/io/parsers/python_parser.py:301: size = self.chunksize # type: ignore[attr-defined]