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TYP: investigate/fix ignored mypy errors #37715

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simonjayhawkins opened this issue Nov 9, 2020 · 3 comments
Open

TYP: investigate/fix ignored mypy errors #37715

simonjayhawkins opened this issue Nov 9, 2020 · 3 comments
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@simonjayhawkins simonjayhawkins commented Nov 9, 2020 •
edited

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 -rn "# type: ignore" pandas/ currently gives

  • pandas/compat/pickle_compat.py:67: def new(cls) -> "Series": # type: ignore[misc]
  • pandas/compat/pickle_compat.py:85: def new(cls) -> "DataFrame": # type: ignore[misc]
  • pandas/compat/pickle_compat.py:184:class Unpickler(pkl._Unpickler): # type: ignore[name-defined]
  • pandas/conftest.py:304: params=[pd.Index, pd.Series], ids=["index", "series"] # type: ignore[list-item]
  • pandas/core/apply.py:146: return self.obj.aggregate( # type: ignore[misc]
  • pandas/core/arrays/boolean.py:62: def type(self) -> Type: # type: ignore[override]
  • pandas/core/arrays/datetimelike.py:436: other = self._scalar_type(other) # type: ignore[call-arg]
  • pandas/core/arrays/datetimelike.py:498: fill_value = self._scalar_type(fill_value) # type: ignore[call-arg]
  • pandas/core/arrays/datetimelike.py:507: new_fill = self._scalar_type(fill_value) # type: ignore[call-arg]
  • pandas/core/arrays/datetimelike.py:563: value = self._scalar_type(value) # type: ignore[call-arg]
  • pandas/core/arrays/datetimelike.py:809: return self._resolution_obj.attrname # type: ignore[union-attr]
  • pandas/core/arrays/floating.py:70: [t.numpy_dtype for t in dtypes], [] # type: ignore[union-attr]
  • pandas/core/arrays/interval.py:1187: @Property # type: ignore[misc]
  • pandas/core/arrays/period.py:292: @Property # type: ignore[misc]
  • pandas/core/arrays/string_.py:192: self._dtype = StringDtype() # type: ignore[assignment]
  • pandas/core/base.py💯 mem = self.memory_usage(deep=True) # type: ignore[attr-defined]
  • pandas/core/base.py:212: self.obj, ABCSeries # type: ignore[attr-defined]
  • pandas/core/base.py:216: return self.obj # type: ignore[attr-defined]
  • pandas/core/base.py:220: return self.obj[self._selection] # type: ignore[attr-defined]
  • pandas/core/base.py:231: self.obj, ABCDataFrame # type: ignore[attr-defined]
  • pandas/core/base.py:235: return self.obj.reindex( # type: ignore[attr-defined]
  • pandas/core/base.py:241: if len(self.exclusions) > 0: # type: ignore[attr-defined]
  • pandas/core/base.py:247: return self.obj.drop(self.exclusions, axis=1) # type: ignore[attr-defined]
  • pandas/core/base.py:251: return self.obj # type: ignore[attr-defined]
  • pandas/core/base.py:261: self.obj.columns.intersection(key) # type: ignore[attr-defined]
  • pandas/core/base.py:266: set(key).difference(self.obj.columns) # type: ignore[attr-defined]
  • pandas/core/base.py:599: return self.array.to_numpy( # type: ignore[call-arg]
  • pandas/core/base.py:897: self = cast("Categorical", self) # type: ignore[assignment]
  • pandas/core/base.py:901: return self._values.map(mapper) # type: ignore[union-attr]
  • pandas/core/base.py:920: values = self.astype(object)._values # type: ignore[attr-defined]
  • pandas/core/base.py:1164: return self.array.memory_usage(deep=deep) # type: ignore[attr-defined]
  • pandas/core/base.py:1300: result = self[np.logical_not(duplicated)] # type: ignore[index]
  • pandas/core/computation/expr.py:665: f"Invalid function call {node.func.id}" # type: ignore[attr-defined]
  • pandas/core/computation/expr.py:690: "keyword error in function call " # type: ignore[attr-defined]
  • pandas/core/computation/expressions.py:235: return _evaluate(op, op_str, a, b) # type: ignore[misc]
  • pandas/core/computation/ops.py:74: supr_new = super(Term, klass).new # type: ignore[misc]
  • pandas/core/computation/ops.py:595: operands = [op(env) for op in self.operands] # type: ignore[operator]
  • pandas/core/computation/parsing.py:41: tokenize.EXACT_TOKEN_TYPES.items() # type: ignore[attr-defined]
  • pandas/core/computation/pytables.py:69: @Property # type: ignore[misc]
  • pandas/core/computation/scope.py:136: self.scope = self.scope.new_child( # type: ignore[assignment]
  • pandas/core/computation/scope.py:144: self.scope = self.scope.new_child( # type: ignore[assignment]
  • pandas/core/computation/scope.py:154: resolvers += tuple(local_dict.resolvers.maps) # type: ignore[has-type]
  • pandas/core/computation/scope.py:243: mapping[new_key] = new_value # type: ignore[index]
  • pandas/core/computation/scope.py:266: self.scope = self.scope.new_child(d) # type: ignore[assignment]
  • pandas/core/computation/scope.py:342: + self.resolvers.maps # type: ignore[operator]
  • pandas/core/computation/scope.py:343: + self.scope.maps # type: ignore[operator]
  • pandas/core/config_init.py:331: ip = get_ipython() # type: ignore[name-defined]
  • pandas/core/construction.py:404: return obj # type: ignore[return-value]
  • pandas/core/dtypes/common.py:145: return arr.astype("int64", copy=copy, casting="safe") # type: ignore[call-arg]
  • pandas/core/dtypes/common.py:150: return arr.astype("uint64", copy=copy, casting="safe") # type: ignore[call-arg]
  • pandas/core/dtypes/dtypes.py:651: unit, tz = unit.unit, unit.tz # type: ignore[attr-defined]
  • pandas/core/dtypes/generic.py:10: @classmethod # type: ignore[misc]
  • pandas/core/frame.py:1108: itertuple = collections.namedtuple( # type: ignore[misc]
  • pandas/core/frame.py:2198: from pandas.io.stata import ( # type: ignore[no-redef]
  • pandas/core/frame.py:2203: from pandas.io.stata import ( # type: ignore[no-redef]
  • pandas/core/frame.py:2216: writer = statawriter( # type: ignore[call-arg]
  • pandas/core/frame.py:3655: unique_dtype.type, tuple(dtypes_set) # type: ignore[arg-type]
  • pandas/core/frame.py:3866: len(self.index), value # type: ignore[arg-type]
  • pandas/core/frame.py:4738: def reset_index( # type: ignore[misc]
  • pandas/core/frame.py:5361: def sort_values( # type: ignore[override]
  • pandas/core/generic.py:679: new_values, *new_axes # type: ignore[arg-type]
  • pandas/core/generic.py:4206: return self.rename(**mapper) # type: ignore[return-value, arg-type]
  • pandas/core/generic.py:4269: return self.rename(**mapper) # type: ignore[return-value, arg-type]
  • pandas/core/generic.py:10711: cls.any = any # type: ignore[assignment]
  • pandas/core/generic.py:10733: cls.all = all # type: ignore[assignment]
  • pandas/core/generic.py:10750: cls.mad = mad # type: ignore[assignment]
  • pandas/core/generic.py:10774: cls.sem = sem # type: ignore[assignment]
  • pandas/core/generic.py:10797: cls.var = var # type: ignore[assignment]
  • pandas/core/generic.py:10821: cls.std = std # type: ignore[assignment]
  • pandas/core/generic.py:10837: cls.cummin = cummin # type: ignore[assignment]
  • pandas/core/generic.py:10853: cls.cummax = cummax # type: ignore[assignment]
  • pandas/core/generic.py:10869: cls.cumsum = cumsum # type: ignore[assignment]
  • pandas/core/generic.py:10885: cls.cumprod = cumprod # type: ignore[assignment]
  • pandas/core/generic.py:10913: cls.sum = sum # type: ignore[assignment]
  • pandas/core/generic.py:10940: cls.prod = prod # type: ignore[assignment]
  • pandas/core/generic.py:10958: cls.mean = mean # type: ignore[assignment]
  • pandas/core/generic.py:10975: cls.skew = skew # type: ignore[assignment]
  • pandas/core/generic.py:10995: cls.kurt = kurt # type: ignore[assignment]
  • pandas/core/generic.py:11015: cls.median = median # type: ignore[assignment]
  • pandas/core/generic.py:11034: cls.max = max # type: ignore[assignment]
  • pandas/core/generic.py:11053: cls.min = min # type: ignore[assignment]
  • pandas/core/generic.py:11159: return self._inplace_method(other, type(self).add) # type: ignore[operator]
  • pandas/core/generic.py:11162: return self._inplace_method(other, type(self).sub) # type: ignore[operator]
  • pandas/core/generic.py:11165: return self._inplace_method(other, type(self).mul) # type: ignore[operator]
  • pandas/core/generic.py:11169: other, type(self).truediv # type: ignore[operator]
  • pandas/core/generic.py:11174: other, type(self).floordiv # type: ignore[operator]
  • pandas/core/generic.py:11178: return self._inplace_method(other, type(self).mod) # type: ignore[operator]
  • pandas/core/generic.py:11181: return self._inplace_method(other, type(self).pow) # type: ignore[operator]
  • pandas/core/generic.py:11184: return self._inplace_method(other, type(self).and) # type: ignore[operator]
  • pandas/core/generic.py:11187: return self._inplace_method(other, type(self).or) # type: ignore[operator]
  • pandas/core/generic.py:11190: return self._inplace_method(other, type(self).xor) # type: ignore[operator]
  • pandas/core/groupby/base.py:54: subset = self.obj # type: ignore[attr-defined]
  • pandas/core/groupby/base.py:64: groupby = self._groupby[key] # type: ignore[attr-defined]
  • pandas/core/groupby/base.py:68: groupby = self._groupby # type: ignore[attr-defined]
  • pandas/core/groupby/base.py:79: subset, groupby=groupby, parent=self, **kwargs # type: ignore[call-arg]
  • pandas/core/groupby/categorical.py:102: return ci.set_categories(c.categories) # type: ignore[attr-defined]
  • pandas/core/groupby/categorical.py:107: return ci.add_categories(new_cats) # type: ignore[attr-defined]
  • pandas/core/groupby/grouper.py:313: self.grouper, _, self.obj = get_grouper( # type: ignore[type-var]
  • pandas/core/groupby/grouper.py:353: ax = self._grouper.take(obj.index) # type: ignore[union-attr]
  • pandas/core/groupby/grouper.py:389: return self.grouper.groups # type: ignore[union-attr]
  • pandas/core/indexes/base.py:936: if is_object_dtype(self.categories): # type: ignore[attr-defined]
  • pandas/core/indexes/base.py:5740: name = index_like.name # type: ignore[union-attr, attr-defined]
  • pandas/core/indexes/category.py:329: ("ordered", self.ordered), # type: ignore[attr-defined]
  • pandas/core/indexes/datetimelike.py:57: @staticmethod # type: ignore[misc]
  • pandas/core/indexes/datetimelike.py:99: DatetimeLikeArrayMixin._hasnans.fget # type: ignore[attr-defined]
  • pandas/core/indexes/datetimelike.py:751: data=[], dtype=self.dtype, freq=self.freq # type: ignore[call-arg]
  • pandas/core/indexes/datetimelike.py:884: i8result, dtype=self.dtype, freq="infer" # type: ignore[call-arg]
  • pandas/core/indexes/datetimes.py:816: indexer = mask.nonzero()[0][::step] # type: ignore[attr-defined]
  • pandas/core/indexes/extension.py:225: result = result._data # type: ignore[attr-defined]
  • pandas/core/indexes/frozen.py:106: setitem = setslice = _disabled # type: ignore[assignment]
  • pandas/core/indexes/frozen.py:107: delitem = delslice = _disabled # type: ignore[assignment]
  • pandas/core/indexes/frozen.py:108: pop = append = extend = _disabled # type: ignore[assignment]
  • pandas/core/indexes/frozen.py:109: remove = sort = insert = _disabled # type: ignore[assignment]
  • pandas/core/indexes/multi.py:1454: self._names[lev] = name # type: ignore[has-type]
  • pandas/core/indexes/multi.py:3517: and not (x in seen or seen.add(x)) # type: ignore[func-returns-value]
  • pandas/core/internals/blocks.py:2700: values = values.reshape(tuple((1,) + shape)) # type: ignore[attr-defined]
  • pandas/core/nanops.py:1719: result = type(values)._simple_new( # type: ignore[attr-defined]
  • pandas/core/ops/array_ops.py:358: res_values = filler(res_values) # type: ignore[operator]
  • pandas/core/resample.py💯 self.grouper = None # type: ignore[assignment]
  • pandas/core/resample.py:420: self.loffset, # type: ignore[has-type]
  • pandas/core/resample.py:430: result.index = result.index + self.loffset # type: ignore[has-type]
  • pandas/core/resample.py:867: return self._downsample("std", ddof=ddof) # type: ignore[call-arg]
  • pandas/core/resample.py:886: return self._downsample("var", ddof=ddof) # type: ignore[call-arg]
  • pandas/core/resample.py:949: return self._downsample("quantile", q=q, **kwargs) # type: ignore[call-arg]
  • pandas/core/resample.py:1003: super().init(None) # type: ignore[call-arg]
  • pandas/core/resample.py:1071: len(self.grouper.binlabels) > len(ax) # type: ignore[attr-defined]
  • pandas/core/reshape/merge.py:971: join_names = [] # type: ignore[var-annotated]
  • pandas/core/series.py:585: @appender(base.IndexOpsMixin.array.doc) # type: ignore[misc]
  • pandas/core/series.py:1087: self._mgr = self._mgr.setitem( # type: ignore[assignment]
  • pandas/io/common.py:214: filepath_or_buffer = filepath_or_buffer.fspath() # type: ignore[union-attr]
  • pandas/io/common.py:249: encoding: EncodingVar = None, # type: ignore[assignment]
  • pandas/io/common.py:251: mode: ModeVar = None, # type: ignore[assignment]
  • pandas/io/common.py:632: fileobj=handle, # type: ignore[arg-type]
  • pandas/io/common.py:640: handle, mode=mode, **compression_args # type: ignore[arg-type]
  • pandas/io/common.py:691: handle, # type: ignore[arg-type]
  • pandas/io/common.py:722:class _BytesZipFile(zipfile.ZipFile, BytesIO): # type: ignore[misc]
  • pandas/io/common.py:744: super().init(file, mode, **kwargs_zip) # type: ignore[arg-type]
  • pandas/io/common.py:824: wrapped = cast(mmap.mmap, _MMapWrapper(handle)) # type: ignore[arg-type]
  • pandas/io/excel/_base.py:761: return stringify_path(self.path) # type: ignore[arg-type]
  • pandas/io/excel/_base.py:816: for extension in cls.supported_extensions # type: ignore[attr-defined]
  • pandas/io/formats/console.py:74: return IPYTHON or check_main() # type: ignore[name-defined]
  • pandas/io/formats/console.py:90: ip = get_ipython() # type: ignore[name-defined]
  • pandas/io/formats/csvs.py:241: handles.handle, # type: ignore[arg-type]
  • pandas/io/formats/excel.py:596: if len(self.header) != len(self.columns): # type: ignore[arg-type]
  • pandas/io/formats/excel.py:602: f"Writing {len(self.columns)} " # type: ignore[arg-type]
  • pandas/io/formats/excel.py:628: gen2 = ( # type: ignore[assignment]
  • pandas/io/formats/excel.py:821: writer = ExcelWriter( # type: ignore[abstract]
  • pandas/io/formats/format.py:1054: path_or_buf=path_or_buf, # type: ignore[arg-type]
  • pandas/io/formats/format.py:1351: float_format(value=v) # type: ignore[operator,call-arg]
  • pandas/io/formats/latex.py:78: zip(*self.strcols) # type: ignore[arg-type]
  • pandas/io/formats/printing.py:503: return head, tail # type: ignore[return-value]
  • pandas/io/formats/printing.py:528: attrs.append(("dtype", f"'{obj.dtype}'")) # type: ignore[attr-defined]
  • pandas/io/formats/printing.py:531: attrs.append(("name", default_pprint(obj.name))) # type: ignore[attr-defined]
  • pandas/io/formats/printing.py:534: obj.names # type: ignore[attr-defined]
  • pandas/io/formats/printing.py:537: attrs.append(("names", default_pprint(obj.names))) # type: ignore[attr-defined]
  • pandas/io/parsers.py:857: for argname, default in _fwf_defaults.items(): # type: ignore[assignment]
  • pandas/io/parsers.py:1044: "c": CParserWrapper, # type: ignore[dict-item]
  • pandas/io/parsers.py:1048: "python": PythonParser, # type: ignore[dict-item]
  • pandas/io/parsers.py:1052: "python-fwf": FixedWidthFieldParser, # type: ignore[dict-item]
  • pandas/io/parsers.py:1411: self.handles.close() # type: ignore[attr-defined]
  • pandas/io/parsers.py:1509: counts = defaultdict(int) # type: ignore[var-annotated]
  • pandas/io/parsers.py:1556: index = index.set_names(indexnamerow[:coffset]) # type: ignore[union-attr]
  • pandas/io/parsers.py:1632: col_name = self.index_names[i] # type: ignore[index]
  • pandas/io/parsers.py:1886: self.handles.handle = self.handles.handle.mmap # type: ignore[union-attr]
  • pandas/io/parsers.py:1974: self.index_names # type: ignore[arg-type]
  • pandas/io/parsers.py:2011: usecols = None # type: ignore[assignment]
  • pandas/io/parsers.py:2020: x = names.index(x) # type: ignore[union-attr]
  • pandas/io/parsers.py:2118: names = list(self.orig_names) # type: ignore[arg-type]
  • pandas/io/parsers.py:2456: self.data = reader # type: ignore[assignment]
  • pandas/io/parsers.py:2473: columns = list(self.orig_names) # type: ignore[arg-type]
  • pandas/io/parsers.py:2523: size = self.chunksize # type: ignore[attr-defined]
  • pandas/io/parsers.py:2536: and col not in self.orig_names # type: ignore[operator]
  • pandas/io/parsers.py:2540: col = self.orig_names[col] # type: ignore[index]
  • pandas/io/parsers.py:2564: and col not in self.orig_names # type: ignore[operator]
  • pandas/io/parsers.py:2568: col = self.orig_names[col] # type: ignore[index]
  • pandas/io/parsers.py:2592: unnamed_cols = set() # type: ignore[var-annotated]
  • pandas/io/parsers.py:2608: columns = [] # type: ignore[var-annotated]
  • pandas/io/parsers.py:2655: counts = defaultdict(int) # type: ignore[var-annotated]
  • pandas/io/parsers.py:2682: this_columns = [None] * lc # type: ignore[list-item]
  • pandas/io/parsers.py:2688: columns.append(this_columns) # type: ignore[arg-type]
  • pandas/io/parsers.py:2737: f"{self.prefix}{i}" # type: ignore[misc]
  • pandas/io/parsers.py:2745: columns = [list(range(ncols))] # type: ignore[arg-type]
  • pandas/io/parsers.py:2900: next(self.data) # type: ignore[arg-type]
  • pandas/io/parsers.py:2964: return next(self.data) # type: ignore[arg-type]
  • pandas/io/parsers.py:3199: or i - len(self.index_col) # type: ignore[operator]
  • pandas/io/parsers.py:3209: if i in self._col_indices # type: ignore[operator]
  • pandas/io/parsers.py:3257: new_rows.append(next(self.data)) # type: ignore[arg-type]
  • pandas/io/parsers.py:3437: na_fvalues = set() # type: ignore[var-annotated]
  • pandas/io/parsers.py:3457: na_fvalues = { # type: ignore[assignment]
  • pandas/io/parsers.py:3503: index_names[i] = None # type: ignore[call-overload]
  • pandas/io/parsers.py:3582: result.append(v) # type: ignore[arg-type]
  • pandas/io/parsers.py:3588: result.append(int(x)) # type: ignore[arg-type]
  • pandas/io/parsers.py:3763: self.data = FixedWidthReader( # type: ignore[assignment]
  • pandas/io/pickle.py:101: pickle.dump(obj, handles.handle, protocol=protocol) # type: ignore[arg-type]
  • pandas/io/pickle.py:204: return pickle.load(handles.handle) # type: ignore[arg-type]
  • pandas/io/pytables.py:2322: itemsize = dtype.itemsize # type: ignore[attr-defined]
  • pandas/io/pytables.py:3390: return dict(d1 + d2 + d3) # type: ignore[operator]
  • pandas/io/stata.py:892: self.TYPE_MAP = list(range(251)) + list("bhlfd") # type: ignore[arg-type]
  • pandas/io/stata.py:1076: self.ioargs.filepath_or_buffer = BytesIO(contents) # type: ignore[arg-type]
  • pandas/io/stata.py:2243: to_write.encode(self._encoding) # type: ignore[arg-type]
  • pandas/io/stata.py:2250: self.handles.handle.write(value) # type: ignore[arg-type]
  • pandas/io/stata.py:2567: self.handles.handle.write(bio.read()) # type: ignore[arg-type]
  • pandas/plotting/_matplotlib/core.py:584: self.legend_handles = reversed( # type: ignore[assignment]
  • pandas/plotting/_matplotlib/core.py:591: self.legend_labels = reversed( # type: ignore[assignment]
  • pandas/plotting/_matplotlib/core.py:685: args = (x, y) # type: ignore[assignment]
  • pandas/plotting/_matplotlib/core.py:1120: plotf = self._plot # type: ignore[assignment]
  • pandas/plotting/_matplotlib/core.py:1569: blabels = None # type: ignore[assignment]
  • pandas/plotting/_matplotlib/timeseries.py:50: series.index = series.index.asfreq( # type: ignore[attr-defined]
  • pandas/plotting/_matplotlib/timeseries.py:230: weekdays = np.unique(index.dayofweek) # type: ignore[attr-defined]
  • pandas/plotting/_misc.py:535: self.init() # type: ignore[misc]
  • pandas/tests/indexes/test_base.py:1514: (pd.IndexSlice["b":"y":-1], ""), # type: ignore[misc]
  • pandas/tests/indexes/test_base.py:1515: (pd.IndexSlice["b"::-1], "b"), # type: ignore[misc]
  • pandas/tests/indexes/test_base.py:1516: (pd.IndexSlice[:"b":-1], "yxdcb"), # type: ignore[misc]
  • pandas/tests/indexes/test_base.py:1517: (pd.IndexSlice[:"y":-1], "y"), # type: ignore[misc]
  • pandas/tests/indexes/test_base.py:1518: (pd.IndexSlice["y"::-1], "yxdcb"), # type: ignore[misc]
  • pandas/tests/indexes/test_base.py:1519: (pd.IndexSlice["y"::-4], "yb"), # type: ignore[misc]
  • pandas/tests/indexes/test_base.py:1521: (pd.IndexSlice[:"a":-1], "yxdcb"), # type: ignore[misc]
  • pandas/tests/indexes/test_base.py:1522: (pd.IndexSlice[:"a":-2], "ydb"), # type: ignore[misc]
  • pandas/tests/indexes/test_base.py:1523: (pd.IndexSlice["z"::-1], "yxdcb"), # type: ignore[misc]
  • pandas/tests/indexes/test_base.py:1524: (pd.IndexSlice["z"::-3], "yc"), # type: ignore[misc]
  • pandas/tests/indexes/test_base.py:1525: (pd.IndexSlice["m"::-1], "dcb"), # type: ignore[misc]
  • pandas/tests/indexes/test_base.py:1526: (pd.IndexSlice[:"m":-1], "yx"), # type: ignore[misc]
  • pandas/tests/indexes/test_base.py:1527: (pd.IndexSlice["a":"a":-1], ""), # type: ignore[misc]
  • pandas/tests/indexes/test_base.py:1528: (pd.IndexSlice["z":"z":-1], ""), # type: ignore[misc]
  • pandas/tests/indexes/test_base.py:1529: (pd.IndexSlice["m":"m":-1], ""), # type: ignore[misc]
  • pandas/tests/io/test_fsspec.py:30:text = df1.to_csv(index=False).encode() # type: ignore[union-attr]
  • pandas/tests/window/conftest.py:81: ), # type: ignore[list-item]
  • pandas/tests/window/conftest.py:334: pytest.param( # type: ignore[list-item]
  • pandas/util/_decorators.py:330: func.signature = sig # type: ignore[attr-defined]
  • pandas/util/_decorators.py:369: docstring._docstring_components # type: ignore[union-attr]
  • pandas/util/_decorators.py:385: decorated._docstring_components = ( # type: ignore[attr-defined]
  • pandas/_testing.py:124: "always", _testing_mode_warnings # type: ignore[arg-type]
  • pandas/_testing.py:136: "ignore", _testing_mode_warnings # type: ignore[arg-type]
  • pandas/_testing.py:256: f = gzip.open(path, "rb") # type: ignore[assignment]
  • pandas/_testing.py:260: f = bz2.BZ2File(path, "rb") # type: ignore[assignment]
  • pandas/_testing.py:269: f = zip_file.open(zip_names.pop()) # type: ignore[assignment]
  • pandas/_testing.py:308: compress_method = gzip.GzipFile # type: ignore[assignment]
  • pandas/_testing.py:313: compress_method = bz2.BZ2File # type: ignore[assignment]
  • pandas/_testing.py:328: args = (data,) # type: ignore[assignment]
  • pandas/_testing.py:2025: yield make_index_func(k=k) # type: ignore[operator]
  • pandas/_testing.py:2160: idx = idx_func(nentries) # type: ignore[operator]
  • pandas/_testing.py:2189: cnt = Counter() # type: ignore[var-annotated]
  • pandas/_testing.py:2352: i, j = _create_missing_idx( # type: ignore[misc]
  • pandas/_testing.py:2382: args = [] # type: ignore[assignment]
  • pandas/_testing.py:2577: errno = getattr(err.reason, "errno", None) # type: ignore[attr-defined]
@simonjayhawkins simonjayhawkins added this to the Contributions Welcome milestone Nov 9, 2020
@simonjayhawkins simonjayhawkins mentioned this issue Nov 9, 2020
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@Praveenk8051
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@Praveenk8051 Praveenk8051 commented Nov 9, 2020

Hello, I'm contributing for the first time to OSS. Can i try this one ?
@simonjayhawkins
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@simonjayhawkins simonjayhawkins commented Nov 9, 2020

@Praveenk8051 some fixes will be easier than others. anyone is welcome to take a look at addressing any of these mypy errors.
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@Praveenk8051 Praveenk8051 commented Nov 9, 2020

Thank you. I will go through the development documentation and then jump into the issue
This was referenced Nov 10, 2020
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