ErrLookup › pandas-dev/pandas
pandas-dev/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more · Python · 346 source files
Analyzed at 71959b8cb9 on 2026-08-07. 479 documented errors.
| Code / Message | Type | Severity | Tags |
|---|---|---|---|
| Unable to import required dependency {_dependency}. Please s | exception | critical | import, dependencies, numpy, environment |
| C extension: {_module} not built. If you want to import pand | exception | critical | import, build, c-extension, editable-install, cython |
| No such keys(s): {pat!r} | exception | error | config, options, typo, validation |
| Pattern matched multiple keys | exception | error | config, options, ambiguous-match |
| Must provide an even number of non-keyword arguments | validation | error | config, set-option, argument-validation |
| No such keys(s) for {pat=} | exception | error | config, describe-option, typo |
| You must specify at least 4 characters when resetting multip | validation | error | config, reset-option, safety-guard |
| You can only set the value of existing options | exception | error | config, options-attribute, setattr |
| No such option | exception | error | config, options-attribute, getattr |
| Provide an even amount of arguments as option_context(pat, v | validation | error | config, option-context, argument-validation |
| Option '{key}' has already been registered | exception | error | config, register-option, duplicate |
| Option '{key}' is a reserved key | exception | error | config, register-option, reserved |
| {k} is not a valid identifier | validation | error | config, register-option, identifier, validation |
| {k} is a python keyword | validation | error | config, register-option, keyword, validation |
| Path prefix to option '{option}' is already an option | exception | error | config, register-option, namespace-conflict |
| Option '{key}' is a prefix of an already-registered option | exception | error | config, register-option, prefix-conflict |
| Option '{key}' has already been defined as deprecated. | exception | error | config, deprecate-option, duplicate |
| Value must have type '{_type}' | validation | error | config, validator, type-check, numpy-scalars |
| Value must be an instance of {type_repr} | validation | error | config, validation, set-option, valueerror |
| Value must be one of {pp_values} | validation | error | config, validation, set-option, pytables, valueerror |
| Value must be a nonnegative integer or None | validation | error | config, validation, set-option, integer, valueerror |
| Value must be a callable | validation | error | config, validation, callable, set-option, valueerror |
| {cls_name} Expected type {cls}, found {type(left)} instead | exception | error | testing, assertion, type-check, assert-series-equal |
| {cls_name} Expected type {cls}, found {type(right)} instead | exception | error | testing, assertion, type-check, assert-series-equal |
| {obj} are different {message} | exception | error | testing, assertion, equality, diff, assertionerror |
| {left_base!r} is not {right_base!r} | exception | error | testing, assertion, numpy, memory, view, assertionerror |
| {left_base!r} is {right_base!r} | exception | error | testing, assertion, numpy, memory, copy, assertionerror |
| check_like must be False if check_index is False | validation | error | testing, assertion, assert-series-equal, argument-validation, valueerror |
| [datetimelike_compat=True] {left._values} is not equal to {r | exception | error | testing, assertion, datetime, tz, assert-series-equal, assertionerror |
| Cannot override builtin dialect. | validation | error | testing, csv, context-manager, valueerror |
| Can't determine version for {module.__name__} | exception | error | compat, dependencies, version, importerror, optional-dependency |
| `Import {install_name}` failed. {extra} Use pip, conda, or y | exception | error | compat, dependencies, import, optional-dependency, importerror |
| Pandas requires version '{minimum_version}' or newer of '{pa | exception | error | compat, dependencies, version, optional-dependency, importerror |
| Please upgrade numpy to >= {_min_numpy_ver} to use this pand | exception | critical | compat, numpy, version, import, importerror, startup |
| numpy operations are not valid with groupby. Use .groupby(.. | exception | error | groupby, numpy, unsupported-function-call, aggregation, kwargs |
| `axis` must be fewer than the number of dimensions ({ndim}) | validation | error | axis, validation, series, reduction |
| The numba engine only supports using string or numeric colum | validation | error | numba, engine, dtype, columns, apply |
| You cannot access the property {name} | exception | error | accessor, delegate, dtype, property |
| The property {name} cannot be set | exception | error | accessor, delegate, property, assignment |
| You cannot call method {name} | exception | error | accessor, delegate, method, dtype |
| {func_name} requires a Series, Index, ExtensionArray, np.nda | validation | error | arraylike, validation, factorize, type-error |
| only list-like objects are allowed to be passed to isin(), y | validation | error | isin, arraylike, validation, membership |
| only list-like objects are allowed to be passed to isin(), y | validation | error | isin, arraylike, validation, membership |
| bins argument only works with numeric data. | validation | error | value-counts, bins, numeric, dtype |
| Array with ndim > 2 is not supported. | validation | error | rank, ndim, ndarray, validation |
| pd.api.extensions.take requires a numpy.ndarray, ExtensionAr | validation | error | take, arraylike, validation, extensions |
| periods must be an integer | validation | error | diff, periods, integer, validation |
| cannot diff {type(arr).__name__} on axis={axis} | validation | error | diff, axis, extension-array, validation |
| {type(arr).__name__} has no 'diff' method. Convert to a suit | validation | error | diff, extension-array, dtype, conversion |
| Only np.ndarray, ExtensionArray, and Index objects are allow | validation | error | safe-sort, arraylike, validation, sorting |
| Only list-like objects or None are allowed to be passed to s | validation | error | safe-sort, codes, arraylike, validation |
| values should be unique if codes is not None | validation | error | safe-sort, unique, codes, validation |
| na_action must either be 'ignore' or None, {na_action} was p | validation | error | map, na-action, validation |
| Named aggregation is not supported when {axis=}. | exception | error | apply, named-aggregation, axis, dataframe |
| invalid value for result_type, must be one of {None, 'reduce | validation | error | pandas, apply, result-type, validation, valueerror |
| Function names must be unique if there is no new column name | exception | error | pandas, transform, duplicate, specificationerror, validation |
| Transform function failed | exception | error | pandas, transform, valueerror, user-function, chained-exception |
| Function did not transform | exception | error | pandas, transform, valueerror, contract, shape-mismatch |
| No transform functions were provided | exception | error | pandas, transform, valueerror, empty-input, validation |
| cannot combine transform and aggregation operations | exception | error | pandas, agg, transform, valueerror, mixed-operations |
| cannot perform both aggregation and transformation operation | exception | error | pandas, agg, apply, valueerror, mixed-operations, dict |
| Operation {func} does not support axis=1 | exception | error | pandas, apply, axis, valueerror, string-dispatch |
| The 'numba' engine doesn't support list-like/dict likes of c | exception | error | pandas, apply, numba, notimplementederror, engine |
| nested renamer is not supported | exception | error | pandas, agg, apply, specificationerror, nested-renamer, deprecation |
| Label(s) {list(cols)} do not exist | exception | error | pandas, agg, apply, keyerror, missing-column, validation |
| '{}' is not a valid function for '{type(obj).__name__}' obje | exception | error | pandas, apply, attributeerror, string-dispatch, method-name |
| axis other than 0 is not supported | exception | error | pandas, agg, apply, axis, notimplementederror, list-like |
| by_row={by_row} not allowed | exception | error | pandas, apply, by-row, valueerror, dataframe, validation |
| Column {colname} must have a numeric dtype. Found '{dtype}' | exception | error | pandas, apply, numba, valueerror, dtype, numeric |
| Column {colname} is backed by an extension array, which is n | exception | error | pandas, apply, numba, valueerror, extension-array, nullable |
| the 'numba' engine doesn't support lists of callables yet | exception | error | pandas, apply, numba, notimplementederror, list-of-callables |
| the 'numba' engine doesn't support using a string as the cal | exception | error | pandas, apply, numba, notimplementederror, string-dispatch |
| the 'numba' engine doesn't support using a numpy ufunc as th | exception | error | pandas, numba, apply, ufunc, engine |
| the 'numba' engine doesn't support result_type='broadcast' | exception | error | pandas, numba, apply, broadcast, engine |
| too many dims to broadcast | exception | error | pandas, apply, broadcast, shape, numpy |
| cannot broadcast result | exception | error | pandas, apply, broadcast, shape, length-mismatch |
| Parallel apply is not supported when raw=False and engine='n | exception | error | pandas, numba, apply, parallel, engine |
| The index/columns must be unique when raw=False and engine=' | exception | error | pandas, numba, apply, duplicate-index, engine |
| Must provide 'func' or tuples of '(column, aggfunc). | exception | error | pandas, agg, missing-argument, named-aggregation |
| func is expected but received {} in **kwargs. | exception | error | pandas, agg, named-aggregation, type-error |
| Must provide 'func' or named aggregation **kwargs. | exception | error | pandas, agg, named-aggregation, missing-argument |
| overflow in timedelta operation | exception | error | pandas, timedelta, datetime, cumsum, overflow, int64 |
| No accumulation for {func} implemented on BaseMaskedArray | exception | error | pandas, accumulation, datetimelike, internal, dispatch |
| No masked accumulation defined for dtype {values.dtype.type} | exception | error | pandas, accumulation, masked-array, dtype, extension-array |
| No accumulation for {func} implemented on BaseMaskedArray | exception | error | pandas, accumulation, masked-array, internal, dispatch |
| cannot assign mismatch length to masked array | exception | error | pandas, where, mask, putmask, length-mismatch |
| putmask: mask and data must be the same size | exception | error | pandas, where, mask, putmask, shape-mismatch |
| Cannot compare types {!r} and {!r} | exception | error | pandas, replace, type-mismatch, comparison |
| Cannot apply ufunc {ufunc} to mixed DataFrame and Series inp | exception | error | pandas, numpy, ufunc, dataframe, series, alignment |
| Invalid side: {side}. Side must be one of 'left', 'right', ' | exception | error | validation, string, pyarrow, argument-error |
| invalid normalization form | exception | error | validation, string, pyarrow, unicode |
| replace is not supported with a re.Pattern, callable repl, c | exception | error | pyarrow, string, regex, not-implemented, compatibility |
| contains not implemented with {flags=} | exception | error | pyarrow, string, regex, not-implemented, compatibility |
| Encountered an NA value with skipna=False | exception | error | na-handling, reductions, validation |
| Cannot modify read-only array | exception | error | read-only, in-place, memory, mutation |
| to_concat must have the same dtype | exception | error | concat, dtype, validation |
| Can only use the '.list' accessor with 'list[pyarrow]' dtype | exception | error | pyarrow, list-accessor, dtype, attribute-error |
| Can only use the '.struct' accessor with 'struct[pyarrow]' d | exception | error | pyarrow, struct-accessor, dtype, attribute-error |
| key must be an int or slice, got {type(key).__name__} | exception | error | pyarrow, list-accessor, indexing, argument-error |
| '{type(self).__name__}' object is not iterable | exception | error | pyarrow, list-accessor, iteration, type-error |
| name_or_index must be an int, str, bytes, pyarrow.compute.Ex | exception | error | pyarrow, struct-accessor, input-validation, indexing |
| pyarrow>={PYARROW_MIN_VERSION} is required for PyArrow backe | exception | critical | pyarrow, dependency, environment, import-error |
| Unsupported type '{type(values)}' for ArrowExtensionArray | exception | error | pyarrow, constructor, type-validation, internal-api |
| Converting strings to {pa_type} is not implemented. | exception | error | pyarrow, dtype-conversion, string-parsing, not-implemented |
| Only integers, slices and integer or boolean arrays are vali | exception | error | pyarrow, indexing, dtype-validation, numpy |
| only integers, slices (`:`), ellipsis (`...`), numpy.newaxis | exception | error | pyarrow, indexing, scalar, label-vs-position |
| Unable to avoid copy while creating an array as requested. | exception | error | pyarrow, numpy-interop, copy-semantics, conversion |
| __invert__ is not supported for string dtypes | exception | error | pyarrow, unary-op, string-dtype, type-error |
| unary '-' not supported for dtype '{self.dtype}' | exception | error | pyarrow, unary-op, dtype-validation, type-error |
| {op.__name__} not implemented for {type(other)} | exception | error | pyarrow, comparison, operand-validation, not-implemented |
| operation '{op.__name__}' not supported for dtype '{self.dty | exception | error | pyarrow, arithmetic, string-dtype, type-error |
| Can only string multiply by an integer. | exception | error | pyarrow, arithmetic, string-repeat, type-error |
| Lengths of operands do not match: {len(self)} != {len(other) | exception | error | pyarrow, arithmetic, length-mismatch, string-dtype |
| DateOffset {other} is intra-day and cannot be applied to dat | exception | error | pyarrow, date-arithmetic, dateoffset, dtype-mismatch |
| invalid na_position: {na_position} | exception | error | pyarrow, sorting, input-validation, argsort |
| Cannot modify read-only array | validation | error | pyarrow, sorting, readonly, mutation-guard |
| ExtensionArray.fillna does not support filling with a dict. | validation | error | pyarrow, fillna, dict-value, api-misuse |
| Length of 'value' does not match. Got ({len(value)}) expect | validation | error | arrow, fillna, length-mismatch, validation |
| Invalid value '{value!s}' for dtype '{self.dtype}' | validation | error | arrow, fillna, type-coercion, dtype |
| {type(self)} does not support reshape as backed by a 1D pyar | exception | error | arrow, reshape, not-implemented, numpy-interop |
| searchsorted requires array to be sorted, which is impossibl | validation | error | arrow, searchsorted, na, sorting |
| cannot do a non-empty take | exception | error | arrow, take, empty-array, indexing |
| out of bounds value in 'indices'. | exception | error | arrow, take, out-of-bounds, indexing |
| operation '{name}' not supported for dtype '{self.dtype}' | validation | error | arrow, accumulate, cumsum, dtype, pyarrow |
| '{type(self).__name__}' with dtype {self.dtype} does not sup | validation | error | arrow, reduce, pyarrow-version, capability |
| '{type(self).__name__}' with dtype {self.dtype} does not sup | validation | error | arrow, reduce, pyarrow-version, dtype, kernel |
| index {key} is out of bounds for axis 0 with size {n} | exception | error | arrow, setitem, out-of-bounds, indexing |
| Length of indexer and values mismatch | validation | error | arrow, setitem, shape-mismatch, indexing |
| Cannot interpolate with {self.dtype} dtype | validation | error | arrow, interpolate, dtype, numeric |
| interpolate is not implemented for dtype={self.dtype} | exception | error | arrow, interpolate, not-implemented, temporal |
| dtype '{self.dtype}' does not support operation '{how}' | validation | error | arrow, groupby, string-dtype, aggregation |
| dtype '{self.dtype}' does not support operation 'quantile' | validation | error | arrow, groupby, quantile, string-dtype |
| count not implemented with {flags=} | exception | error | arrow, str-accessor, regex, count, flags |
| repeat is not implemented when repeats is {type(repeats).__n | exception | error | pyarrow, string-accessor, not-implemented |
| Only flags=0 is implemented. | exception | error | pyarrow, string-accessor, regex, not-implemented |
| {pat=} must contain a symbolic group name. | validation | error | pyarrow, string-accessor, regex, validation |
| expected a string object, not {type(pat).__name__} | validation | error | pyarrow, string-accessor, type-error |
| '{self.dtype}' does not have duration components | exception | error | pyarrow, datetime-accessor, duration, type-mismatch |
| as_unit not implemented for {pa_type} | exception | error | pyarrow, datetime-accessor, not-implemented |
| ambiguous is not supported. | exception | error | pyarrow, datetime-accessor, dst, not-implemented |
| nonexistent is not supported. | exception | error | pyarrow, datetime-accessor, dst, not-implemented |
| Must specify a valid frequency: {freq} | validation | error | pyarrow, datetime-accessor, frequency, validation |
| {freq=} is not supported | validation | error | pyarrow, datetime-accessor, frequency, validation |
| to_pydatetime cannot be called with {self.dtype.pyarrow_dtyp | validation | error | pyarrow, datetime-accessor, type-mismatch |
| {ambiguous=} is not supported | exception | error | pyarrow, datetime-accessor, dst, not-implemented |
| {nonexistent=} is not supported | exception | error | pyarrow, datetime-accessor, dst, not-implemented |
| Cannot convert tz-naive timestamps, use tz_localize to local | validation | error | pyarrow, datetime-accessor, timezone, type-error |
| Disallowed deserialization of 'arrow.py_extension_type': sto | exception | critical | security, pyarrow, deserialization, cve, parquet, pickle |
| Cannot modify read-only array | validation | error | extension-array, readonly, mutation, immutability |
| {type(self)} does not implement __setitem__. | exception | error | extension-array, subclass, not-implemented, mutation |
| can only convert an array of size 1 to a Python scalar | validation | error | extension-array, scalar-conversion, validation |
| index must be an integer, got {type(index)} | validation | error | extension-array, type-error, indexing |
| Encountered an NA value with skipna=False | validation | error | extension-array, missing-data, reduction, validation |
| {type(self).__name__} does not implement interpolate | exception | error | extension-array, interpolate, not-implemented, subclass |
| cannot perform {name} with type {self.dtype} | exception | error | extension-array, accumulate, cumsum, not-implemented, subclass |
| '{type(self).__name__}' with dtype {self.dtype} does not sup | validation | error | extension-array, reduce, reduction, dtype-mismatch |
| Default 'empty' implementation is invalid for dtype='{dtype} | exception | error | extension-array, empty, subclass, internal, round-trip |
| Cannot round dtype {self.dtype} as it is non-numeric | validation | error | extension-array, round, dtype-mismatch, numeric |
| dtype '{self.dtype}' does not support operation '{how}' | validation | error | groupby, string-dtype, aggregation, dtype-mismatch |
| function is not implemented for this dtype: {self.dtype} | exception | error | groupby, extension-array, not-implemented, subclass |
| dtype '{self.dtype}' does not support operation 'quantile' | validation | error | groupby, quantile, string-dtype, object-dtype, dtype-mismatch |
| Cannot use quantile with bool dtype | validation | error | groupby, quantile, boolean, dtype-mismatch |
| groupby first/last only supports 1D ExtensionArrays | exception | error | groupby, extension-array, first-last, ndim, internal |
| Expected array of boolean type, got {array.type} instead | validation | error | arrow, boolean, dtype-mismatch, interoperability |
| cannot pass mask for BooleanArray input | validation | error | boolean, mask, coercion, api-misuse |
| Need to pass bool-like values | validation | error | boolean, coercion, ndarray, validation |
| values.shape and mask.shape must match | validation | error | boolean, mask, shape-mismatch, validation |
| values should be boolean numpy array. Use the 'pd.array' fun | exception | error | boolean, constructor, api-misuse, ndarray |
| {s} cannot be cast to bool | exception | error | boolean, string-parsing, true-values, read-csv |
| 'other' should be pandas.NA or a bool. Got {type(other).__na | exception | error | boolean, logical-op, kleene, type-mismatch |
| Lengths must match | exception | error | boolean-array, length-mismatch, logical-ops, valueerror |
| Lengths must match. | exception | error | categorical, length-mismatch, comparison, valueerror |
| Unordered Categoricals can only compare equality or not | exception | error | categorical, unordered, comparison, ordinal, typeerror |
| Categoricals can only be compared if 'categories' are the sa | exception | error | categorical, comparison, categories-mismatch, typeerror |
| Cannot compare a Categorical for op {opname} with type {type | exception | error | categorical, comparison, list-like, typeerror |
| Categorical input must be list-like | exception | error | categorical, constructor, scalar-input, typeerror |
| > 1 ndim Categorical are not supported at this time | exception | error | categorical, constructor, ndim, notimplementederror |
| 'values' is not ordered, please explicitly specify the categ | exception | error | categorical, ordered, factorize, unsortable, typeerror |
| Cannot convert float NaN to integer | exception | error | categorical, astype, nan, integer, valueerror |
| Cannot cast {self.categories.dtype} dtype to {dtype} | exception | error | categorical, astype, dtype-cast, valueerror |
| The categories must be provided in 'categories' or 'dtype'. | exception | error | categorical, from-codes, missing-categories, valueerror |
| new categories need to have the same number of items as the | exception | error | categorical, categories-setter, length-mismatch, valueerror |
| items in new_categories are not the same as in old categorie | exception | error | categorical, reorder-categories, valueerror |
| new categories must not include old categories: {already_inc | exception | error | categorical, add-categories, duplicate, valueerror |
| removals must all be in old categories: {not_included} | exception | error | categorical, remove-categories, missing, valueerror |
| Cannot setitem on a Categorical with a new category ({fill_v | exception | error | categorical, setitem, new-category, typeerror |
| codes cannot contain NA values | exception | error | categorical, from-codes, nullable-integer, na, valueerror |
| codes need to be array-like integers | exception | error | categorical, from-codes, integer-codes, dtype, valueerror |
| codes need to be between -1 and len(categories)-1 | exception | error | categorical, from-codes, out-of-range, validation, valueerror |
| Unable to avoid copy while creating an array as requested. | exception | error | categorical, numpy, array-protocol, copy, valueerror |
| Object with dtype {self.dtype} cannot perform the numpy op { | exception | error | categorical, numpy-ufunc, dtype |
| Categorical is not ordered for operation {op} you can use .a | exception | error | categorical, ordered, min-max |
| invalid na_position: {na_position!r} | exception | error | categorical, sort, validation |
| Cannot set a Categorical with another, without identical cat | exception | error | categorical, setitem, categories |
| Cannot setitem on a Categorical with a new category, set the | exception | error | categorical, setitem, categories |
| Accumulation {name} not supported for {type(self)} | exception | error | categorical, accumulation, cumsum |
| axis {axis} is out of bounds for array of dimension {first.n | exception | error | categorical, concat, axis |
| {dtype} type does not support {how} operations | exception | error | categorical, groupby, aggregation |
| Cannot perform {how} with non-ordered Categorical | exception | error | categorical, groupby, ordered |
| Can only use .cat accessor with a 'category' dtype | exception | error | categorical, accessor, dtype |
| Input must be list-like | exception | error | categorical, factorize, list-like |
| Unable to avoid copy while creating an array as requested. | exception | error | datetime, numpy, copy |
| Converting from {self.dtype} to {dtype} is not supported. Do | exception | error | datetime, astype, integer |
| Cannot cast {type(self).__name__} to dtype {dtype} | exception | error | datetime, astype, float |
| Lengths must match | exception | error | datetime, comparison, length |
| value should be a '{self._scalar_type.__name__}' or 'NaT'. G | exception | error | datetime, scalar, validation |
| value should be a '{self._scalar_type.__name__}', 'NaT', or | exception | error | datetime, listlike, dtype |
| Cannot modify read-only array | exception | error | read-only, inplace, fillna, datetimelike |
| cannot add {type(self).__name__} and {type(other).__name__} | exception | error | addition, datetime, timedelta, type-mismatch |
| cannot subtract a datelike from a {type(self).__name__} | exception | error | subtraction, datetime, operand-order, timedelta |
| cannot add indices of unequal length | exception | error | length-mismatch, subtraction, alignment, datetime-array |
| cannot add Period to a {type(self).__name__} | exception | error | addition, period, datetime, type-mismatch |
| Cannot add {type(self).__name__} and {type(NaT).__name__} | exception | error | addition, nat, period, type-mismatch |
| cannot subtract {type(other).__name__} from {type(self).__na | exception | error | subtraction, period, type-mismatch |
| Accumulation {name} not supported for {type(self)} | exception | error | accumulation, cumsum, datetime, unsupported-op |
| cannot subtract {type(self).__name__} from {type(other).__na | exception | error | subtraction, rsub, operand-order, datetime |
| cannot subtract {type(self).__name__} from {other.dtype} | exception | error | subtraction, rsub, period, timedelta |
| cannot subtract {type(self).__name__} from {type(other).__na | exception | error | subtraction, rsub, operand-order, timedelta |
| mean is not implemented for {type(self).__name__} since the | exception | error | reduction, mean, period, ambiguous |
| abs(axis) must be less than ndim | exception | error | axis, median, validation, dimension |
| datetime64 type does not support operation '{how}' | exception | error | groupby, reduction, datetime, unsupported-op |
| '{how}' with datetime64 dtypes is no longer supported. Use ( | exception | error | groupby, any, all, datetime, deprecated |
| Period type does not support {how} operations | exception | error | groupby, reduction, period, unsupported-op |
| '{how}' with PeriodDtype is no longer supported. Use (obj != | exception | error | groupby, any, all, period, deprecated |
| timedelta64 type does not support {how} operations | exception | error | timedelta, reduction, groupby, type-error |
| 'std' and 'sem' are not valid for PeriodDtype | exception | error | period, reduction, groupby, type-error |
| Inferred frequency {inferred} from passed values does not co | exception | error | datetime, frequency, constructor, validation |
| Supported units are 's', 'ms', 'us', 'ns' | exception | error | datetime, timedelta, unit, resolution, validation |
| The 'sort' keyword in {type(self).__name__}.factorize is not | exception | error | factorize, datetime, extension-array, not-implemented |
| Cannot create a {cls_name} from a MultiIndex. | exception | error | multiindex, constructor, datetime, type-error |
| periods must be an integer, got {periods} | exception | error | date-range, constructor, validation, type-error |
| {dtype=} does not have a resolution. | exception | error | arrow, dtype, datetime, timedelta, validation |
| Values resolution does not match dtype. | exception | error | datetime, dtype, resolution, internal |
| Passed data is timezone-aware, incompatible with 'tz=None'. | exception | error | datetime, timezone, constructor, validation |
| Must provide freq argument if no data is supplied | exception | error | date-range, frequency, constructor, validation |
| Of the four parameters: start, end, periods, and freq, exact | exception | error | date-range, constructor, validation |
| Neither `start` nor `end` can be NaT | exception | error | date-range, nat, constructor, validation |
| 'unit' must be one of 's', 'ms', 'us', 'ns' | exception | error | date-range, unit, resolution, validation |
| 'value' should be a Timestamp. | exception | error | datetime, scalar, setitem, type-error |
| Cannot directly set timezone. Use tz_localize() or tz_conver | exception | error | datetime, timezone, read-only, attribute-error |
| Casting to unit-less dtype 'datetime64' is not supported. Pa | exception | error | datetime, astype, unit, numpy, type-error |
| Cannot compare tz-naive and tz-aware datetime-like objects. | exception | error | datetime, timezone, comparison, pandas |
| Cannot compare tz-naive and tz-aware datetime-like objects | exception | error | datetime, timezone, comparison, pandas |
| Cannot convert tz-naive timestamps, use tz_localize to local | exception | error | datetime, timezone, tz-convert, pandas |
| The nonexistent argument must be one of 'raise', 'NaT', 'shi | exception | error | datetime, timezone, dst, tz-localize, pandas |
| Already tz-aware, use tz_convert to convert. | exception | error | datetime, timezone, tz-localize, pandas |
| You must pass a freq argument as current index has none. | exception | error | datetime, period, frequency, pandas |
| DatetimeIndex has mixed timezones | exception | error | datetime, timezone, construction, pandas |
| dtype {data.dtype} cannot be converted to datetime64[ns] | exception | error | datetime, dtype, timedelta, pandas |
| Passing PeriodDtype data is invalid. Use `data.to_timestamp( | exception | error | datetime, period, dtype, pandas |
| data is already tz-aware {inferred_tz}, unable to set specif | exception | error | datetime, timezone, construction, pandas |
| Passing in 'datetime64' dtype with no precision is not allow | exception | error | datetime, dtype, numpy, pandas |
| Unexpected value for 'dtype': '{dtype}'. Must be 'datetime64 | exception | error | datetime, dtype, pandas |
| cannot supply both a tz and a dtype with a tz | exception | error | datetime, timezone, dtype, pandas |
| Cannot pass both a timezone-aware dtype and tz=None | exception | error | datetime, timezone, dtype, pandas |
| cannot supply both a tz and a timezone-naive dtype (i.e. dat | exception | error | datetime, timezone, dtype, pandas |
| Offset {offset} did not increment date | exception | error | datetime, date-range, offset, pandas |
| Offset {offset} did not decrement date | exception | error | datetime, date-range, offset, pandas |
| cannot safely cast non-equivalent {values.dtype} to {np.dtyp | exception | error | integer, nullable, dtype, casting, pandas |
| {cls.__name__}(...) must be called with a collection of some | exception | error | interval, construction, scalar, pandas |
| dtype must be an IntervalDtype, got {dtype} | exception | error | interval, dtype, construction, pandas |
| closed keyword does not match dtype.closed | exception | error | interval, dtype, constructor, validation |
| must not have differing left [{type(left).__name__}] and rig | exception | error | interval, dtype, constructor, type-mismatch |
| category, object, and string subtypes are not supported for | exception | error | interval, dtype, categorical, string, constructor |
| Period dtypes are not supported, use a PeriodIndex instead | exception | error | interval, period, dtype, constructor |
| left and right must have the same time zone, got '{left.tz}' | exception | error | interval, datetime, timezone, constructor |
| Left and right arrays must have matching signedness. Got {le | exception | error | interval, dtype, integer, signedness, constructor |
| {name}.from_tuples requires tuples of length 2, got {d} | exception | error | interval, from-tuples, input-validation |
| {name}.from_tuples received an invalid item, {d} | exception | error | interval, from-tuples, input-validation, type-mismatch |
| invalid dtype: {dtype} | exception | error | interval, dtype, validation, internal |
| left and right must have the same length | exception | error | interval, length-mismatch, validation, alignment |
| missing values must be missing in the same location both lef | exception | error | interval, missing-values, validation, nan |
| left side of interval must be <= right side | exception | error | interval, bounds, validation, ordering |
| multi-dimensional indexing not allowed | exception | error | interval, indexing, multi-dimensional |
| Cannot modify read-only array | exception | error | interval, read-only, setitem, numpy |
| Lengths must match to compare | exception | error | interval, comparison, length-mismatch, broadcasting |
| ExtensionArray.fillna does not support filling with a dict. | exception | error | interval, fillna, dict, extension-array |
| limit must be None | exception | error | interval, fillna, limit, extension-array |
| Cannot convert {self.dtype} to {dtype}; subtypes are incompa | exception | error | interval, astype, dtype, datetime, casting |
| Cannot cast {type(self).__name__} to dtype {dtype} | exception | error | interval, astype, casting, dtype |
| Intervals must all be closed on the same side. | exception | error | interval-array, concat, validation |
| 'value' should be an interval type, got {type(value)} instea | exception | error | interval-array, type-error, setitem |
| 'value' should be a compatible interval type, got {type(valu | exception | error | interval-array, dtype, setitem |
| can only insert Interval objects and NA into an IntervalArra | exception | error | interval-array, type-error, insert |
| Cannot set float NaN to integer-backed IntervalArray | exception | error | interval-array, dtype, missing-data, setitem |
| `other` must be Interval-like, got {type(other).__name__} | exception | error | interval-array, type-error, overlaps |
| invalid option for 'closed': {closed} | exception | error | interval-array, validation, argument |
| Unable to avoid copy while creating an array as requested. | exception | error | interval-array, numpy, copy |
| Conversion to arrow with subtype '{self.dtype.subtype}' is n | exception | error | interval-array, pyarrow, interop |
| Not supported to convert IntervalArray to type with differen | exception | error | interval-array, pyarrow, schema, interop |
| Not supported to convert IntervalArray to '{type}' type | exception | error | interval-array, pyarrow, type-error, interop |
| contains not implemented for two intervals | exception | error | interval-array, not-implemented, contains |
| mask should be boolean numpy array. Use the 'pd.array' funct | exception | error | masked-array, constructor, type-error |
| values.shape must match mask.shape | exception | error | masked-array, shape-mismatch, constructor |
| Default 'empty' implementation is invalid for dtype='{dtype} | exception | error | masked-array, subclassing, dtype |
| Cannot modify read-only array | exception | error | masked-array, readonly, fill, mutation |
| Invalid value '{value!s}' for dtype '{self.dtype}' | exception | error | masked-array, dtype, setitem, type-error |
| cannot convert to '{dtype}'-dtype NumPy array with missing v | exception | error | masked-array, to-numpy, missing-values, na-value |
| cannot convert NA to integer | exception | error | masked-array, astype, missing-values, integer |
| cannot convert float NaN to bool | exception | error | masked-array, astype, missing-values, boolean |
| Unable to avoid copy while creating an array as requested. | exception | error | masked-array, numpy-interop, copy, missing-values |
| can only perform ops with 1-d structures | exception | error | masked-array, arithmetic, ndim, broadcasting |
| operator '{op_name}' not implemented for bool dtypes | exception | error | masked-array, arithmetic, boolean, na |
| Lengths must match to compare | exception | error | masked-array, comparison, length-mismatch, alignment |
| searchsorted requires array to be sorted, which is impossibl | exception | error | masked-array, searchsorted, missing-values, sorting |
| interpolate is not implemented for dtype={self.dtype} | exception | error | masked-array, interpolate, dtype, not-implemented |
| Expected array of {self} type, got {array.type} instead | exception | error | numeric-array, from-arrow, pyarrow, dtype |
| invalid dtype specified {dtype} | exception | error | numeric-array, dtype, validation |
| {values.dtype} cannot be converted to {name} | exception | error | numeric-array, coercion, boolean, type-inference |
| values must be a 1D list-like | exception | error | numeric-array, ndim, validation |
| Cannot cast NaN value to Integer dtype. | exception | error | numeric-array, integer, nan, casting |
| mask must be a 1D list-like | exception | error | numeric-array, mask, ndim, validation |
| values should be {descr} numpy array. Use the 'pd.array' fun | exception | error | numeric-array, constructor, dtype, api-misuse |
| 'values' must be a NumPy array, not {type(values).__name__} | exception | error | numpy, constructor, type-validation, pandas-arrays |
| NumpyExtensionArray must be 1-dimensional. | exception | error | numpy, constructor, dimension, pandas-arrays |
| Invalid value '{value!s}' for dtype '{self.dtype}' | exception | error | dtype, setitem, type-coercion, pandas-arrays |
| Cannot interpolate with {self.dtype} dtype | exception | error | interpolate, dtype, numeric, pandas-arrays |
| Invalid dtype {dtype} for PeriodArray | exception | error | period, dtype, constructor, pandas-arrays |
| Incorrect dtype | exception | error | period, series, dtype, constructor, pandas-arrays |
| dtype is not specified and cannot be inferred | exception | error | period, dtype, freq, constructor, pandas-arrays |
| PeriodArray does not allow floating point in construction | exception | error | period, dtype, float, constructor, pandas-arrays |
| Not enough parameters to construct Period range | exception | error | period, range, constructor, pandas-arrays |
| 'value' should be a Period. Got '{value}' instead. | exception | error | period, scalar, setitem, pandas-arrays |
| Unable to avoid copy while creating an array as requested. | exception | error | period, numpy, copy, conversion, pandas-arrays |
| Not supported to convert PeriodArray to array with different | exception | error | period, arrow, freq, conversion, pandas-arrays |
| Not supported to convert PeriodArray to '{type}' type | exception | error | period, arrow, conversion, pandas-arrays |
| Cannot add or subtract timedelta64[ns] dtype from {self.dtyp | exception | error | period, arithmetic, timedelta, freq, pandas-arrays |
| Cannot add/subtract timedelta-like from PeriodArray that is | exception | error | period, arithmetic, timedelta, freq, pandas-arrays |
| dtype must be PeriodDtype | exception | error | period, dtype, validation, pandas-arrays |
| specified freq and dtype are different | exception | error | period, freq, dtype, validation, pandas-arrays |
| Wrong dtype: {data.dtype} | exception | error | period, datetime, dtype, conversion, pandas-arrays |
| Of the three parameters: start, end, and periods, exactly tw | exception | error | period, range, validation, pandas-arrays |
| start and end must have same freq | exception | error | pandas, period, period-range, frequency, dtype-validation |
| start and end must not be NaT | exception | error | pandas, period, period-range, nat, validation |
| Could not infer freq from start/end | exception | error | pandas, period, period-range, internal, unreachable |
| Quarter must be 1 <= q <= 4 | exception | error | pandas, period, period-range, quarter, bounds-check |
| cannot convert float NaN to integer | exception | error | pandas, period, period-range, nan, dtype-coercion |
| Mismatched Period array lengths | exception | error | pandas, period, period-range, shape-mismatch, broadcast |
| Can only use the '.sparse' accessor with Sparse data. | exception | error | pandas, sparse, accessor, dtype-validation |
| Column length mismatch: {len(columns)} vs. {K} | exception | error | pandas, sparse, dataframe, shape-mismatch, scipy |
| Index length mismatch: {len(index)} vs. {N} | exception | error | pandas, sparse, dataframe, shape-mismatch, scipy |
| Cannot construct {type(self).__name__} from scalar data. Pas | exception | error | pandas, sparse, sparse-array, type-error, scalar |
| 'data' must have a single column, not '{ncol}' | exception | error | pandas, sparse, sparse-array, scipy, shape-mismatch |
| Unable to avoid copy while creating an array as requested. | exception | error | pandas, sparse, sparse-array, numpy, copy-protocol |
| Cannot modify read-only array | exception | error | pandas, sparse, sparse-array, read-only, immutability |
| SparseArray does not support item assignment via setitem | exception | error | pandas, sparse, sparse-array, setitem, immutable |
| SparseArray does not support in-place sort | exception | error | pandas, sparse, sparse-array, sort, not-implemented |
| ExtensionArray.fillna does not support filling with a dict. | exception | error | pandas, sparse, sparse-array, fillna, dict |
| limit must be None | exception | error | pandas, sparse, sparse-array, fillna, limit |
| Cannot slice with Ellipsis | exception | error | pandas, sparse, sparse-array, indexing, ellipsis |
| only integers, slices (`:`), ellipsis (`...`), numpy.newaxis | exception | error | pandas, sparse, sparse-array, indexing, indexerror |
| Cannot slice with '{key}' | exception | error | sparse, indexing, getitem |
| index is out of bounds: must be an integer between -{n} and | exception | error | sparse, indexing, bounds, out-of-bounds |
| 'indices' must be an array, not a scalar '{indices}'. | exception | error | sparse, take, scalar, indexing |
| cannot perform {name} with type {self.dtype} | exception | error | sparse, reductions, dtype, unsupported |
| axis(={axis}) out of bounds | exception | error | sparse, cumsum, axis, bounds |
| Encountered an NA value with skipna=False | exception | error | sparse, argmax, skipna, na |
| length mismatch: {len(self)} vs. {len(other)} | exception | error | sparse, arithmetic, length-mismatch, alignment |
| operands have mismatched length {len(self)} and {len(other)} | exception | error | sparse, comparison, length-mismatch, alignment |
| expected dimension <= 1 data | exception | error | sparse, constructor, ndim, shape |
| must be block or integer type | exception | error | sparse, constructor, kind, validation |
| Expected coo_matrix. Got {type(A).__name__} instead. | exception | error | scipy, sparse, type-error, conversion |
| Storage must be 'python' or 'pyarrow'. Got {storage} instead | exception | error | string-dtype, validation, config, storage |
| pyarrow>={PYARROW_MIN_VERSION} is required for PyArrow backe | exception | error | pyarrow, dependency, import-error, string-dtype |
| 'na_value' must be np.nan or pd.NA, got {na_value} | exception | error | string-dtype, na-value, validation |
| 'construct_from_string' expects a string, got {type(string)} | exception | error | string-dtype, type-error, construct-from-string |
| Cannot construct a '{cls.__name__}' from '{string}' | exception | error | string-dtype, type-error, construct-from-string |
| Cannot change data-type for string array. | exception | error | string-array, view, type-error, memory |
| StringArray requires a sequence of strings or pandas.NA | exception | error | string-array, validation, construction |
| StringArray requires a sequence of strings or pandas.NA. Got | exception | error | string-array, dtype, validation, construction |
| StringArray requires a sequence of strings or NaN | exception | error | string-array, validation, nan-semantics, construction |
| StringArray requires a sequence of strings or NaN. Got '{sel | exception | error | string-array, dtype, validation, nan-semantics, construction |
| Invalid value '{value}' for dtype '{self.dtype}'. Value shou | exception | error | string-array, scalar, index, type-error |
| Invalid value for dtype 'str'. Value should be a string or m | exception | error | string-array, setitem, type-error, bulk-assign |
| Cannot modify read-only array | exception | error | string-array, readonly, setitem, memory |
| setting an array element with a sequence. | exception | error | string-array, setitem, broadcasting, shape |
| Cannot perform reduction '{name}' with string dtype | exception | error | string-array, reduction, type-error, numeric |
| operation '{name}' not supported for dtype '{self.dtype}' | exception | error | string-array, accumulate, type-error, cumprod |
| searchsorted requires array to be sorted, which is impossibl | exception | error | string-array, searchsorted, missing-values, sort |
| Lengths of operands do not match: {len(self)} != {len(other) | exception | error | string-array, comparison, broadcasting, shape |
| Cannot multiply StringArray by bools. Explicitly cast to int | exception | error | string-array, arithmetic, boolean, typeerror |
| pyarrow>={PYARROW_MIN_VERSION} is required for PyArrow backe | exception | error | pyarrow, importerror, dependencies, string-arrow |
| ArrowStringArray requires a PyArrow (chunked) array of large | exception | error | pyarrow, string-arrow, dtype-mismatch, valueerror |
| Invalid value '{item}' for dtype 'str'. Value should be a st | exception | error | string-arrow, insert, typeerror, missing-values |
| Invalid value '{value}' for dtype 'str'. Value should be a s | exception | error | string-arrow, setitem, typeerror, dtype-coercion |
| Invalid value for dtype 'str'. Value should be a string or m | exception | error | string-arrow, setitem, array-assignment, typeerror |
| Cannot perform reduction '{name}' with string dtype | exception | error | string-arrow, reduction, aggregation, typeerror |
| bad operand type for unary +: '{self.dtype}' | exception | error | string-arrow, unary-operator, typeerror |
| Values resolution does not match dtype. | exception | error | timedelta, dtype-mismatch, resolution, valueerror |
| Must provide freq argument if no data is supplied | exception | error | timedelta, timedelta-range, freq, valueerror |
| Of the four parameters: start, end, periods, and freq, exact | exception | error | timedelta, timedelta-range, argument-validation, valueerror |
| 'unit' must be one of 's', 'ms', 'us', 'ns' | exception | error | timedelta, unit, resolution, valueerror |
| 'value' should be a Timedelta. | exception | error | timedelta, scalar, typeerror, valueerror |
| Cannot convert from {self.dtype} to {dtype}. Supported resol | exception | error | timedelta, astype, resolution, valueerror |
| cumprod not supported for Timedelta. | exception | error | timedelta, cumprod, accumulation, typeerror |
| cannot add the type {type(other).__name__} to a {type(self). | exception | error | timedelta, dateoffset, arithmetic, typeerror |
| Overflow in timedelta multiplication | exception | error | timedelta, overflow, arithmetic, outofbounds |
| Overflow in int64 multiplication | exception | error | timedelta, overflow, int-multiplication, outofbounds |
| Cannot multiply '{self.dtype}' by bool, explicitly cast to i | exception | error | timedelta, boolean, arithmetic, typeerror |
| Cannot multiply with {type(other).__name__} | exception | error | timedelta, typeerror, arithmetic, numpy-2 |
| Cannot multiply with unequal lengths | exception | error | timedelta, valueerror, shape-mismatch, arithmetic |
| Overflow in timedelta division | exception | error | timedelta, overflow, division, float, gh-43178 |
| Cannot divide {type(other).__name__} by {type(self).__name__ | exception | error | timedelta, typeerror, division, operand-order |
| Cannot divide vectors with unequal lengths | exception | error | timedelta, valueerror, shape-mismatch, division |
| {err.args} | exception | error | timedelta, overflow, conversion, to-timedelta |
| dtype {data.dtype} cannot be converted to timedelta64[ns] | exception | error | timedelta, typeerror, conversion, datetime, gh-23539 |
| Cannot convert input with unit '{unit}' | exception | error | timedelta, overflow, uint64, conversion, gh-60677 |
| Passing in 'timedelta' dtype with no precision is not allowe | exception | error | timedelta, dtype, valueerror, gh-24806 |
| dtype '{dtype}' is invalid, should be np.timedelta64 dtype | exception | error | timedelta, dtype, valueerror |
| Supported timedelta64 resolutions are 's', 'ms', 'us', 'ns' | exception | error | timedelta, dtype, valueerror, resolution |
| You cannot add any new attribute '{key}' | exception | error | attribute, frozen, attributeerror, immutability |
| Column(s) {self._selection} already selected | exception | error | selection, groupby, indexerror, chained |
| Columns not found: {str(bad_keys)[1:-1]} | exception | error | selection, groupby, keyerror, columns |
| Column not found: {key} | exception | error | selection, groupby, keyerror, columns |
| can only convert an array of size 1 to a Python scalar | exception | error | scalar, valueerror, item, size |
| to_numpy() got an unexpected keyword argument '{bad_keys}' | exception | error | to-numpy, typeerror, kwargs, dtype |
| Value must be 1-D array-like or scalar, {type(value).__name_ | exception | error | searchsorted, dataframe, dimensionality, indexing |
| boolean value of an expression is ambiguous | exception | error | expression, pd-col, boolean, deferred, typeerror |
| Expression objects are not iterable | exception | error | expression, pd-col, iteration, deferred, typeerror |
| Expression objects are not copiable | exception | error | expression, pd-col, copy, deferred, typeerror |
| Expected Hashable, got: {type(col_name)} | exception | error | expression, pd-col, hashable, validation, typeerror |
| Column '{col_name}' not found in given DataFrame. Hint: did | exception | error | expression, pd-col, missing-column, deferred, valueerror |
| Cannot mask with non-boolean array containing NA / NaN value | exception | error | boolean-mask, na-nan, indexing, loc, valueerror |
| Indexing with a float is no longer supported. Manually conve | exception | error | indexing, float-key, cast, indexerror |
| unsupported type: {into} | exception | error | to-dict, mapping, into, validation, typeerror |
| to_dict() only accepts initialized defaultdicts | exception | error | to-dict, defaultdict, mapping, into, typeerror |
| random_state must be an integer, array-like, a BitGenerator, | exception | error | random-state, sampling, validation, rng, valueerror |
| {target} is both the pipe target and a keyword argument | exception | error | pipe, kwargs, argument-conflict, valueerror |
| Length of values ({len(data)}) does not match length of inde | exception | error | length-mismatch, assignment, index-alignment, valueerror |
| Variables in expression "{expr}" overlap with builtins: ({s} | exception | error | numexpr, eval, query, builtin-clash, name-collision |
| Invalid engine '{engine}' passed, valid engines are {valid_e | exception | error | eval, query, engine, validation, keyerror |
| 'numexpr' is not installed or an unsupported version. Cannot | exception | error | numexpr, eval, query, dependency, importerror, environment |
| Invalid parser '{parser}' passed, valid parsers are {PARSERS | exception | error | eval, parser, validation, keyerror |
| Resolver of type '{name}' does not implement the __getitem__ | exception | error | eval, resolver, getitem, mapping, typeerror |
| expr cannot be an empty string | exception | error | eval, query, empty-string, validation, valueerror |
| The '@' prefix is only supported by the pandas parser | exception | error | pandas, eval, query, parser, scope |
| The '@' prefix is not allowed in top-level eval calls. pleas | exception | error | pandas, eval, scope, stack-frame |
| expr must be a string to be evaluated, {type(expr)} given | exception | error | pandas, eval, type-validation, dataframe |
| multi-line expressions are only valid in the context of data | exception | error | pandas, eval, multi-line, target, assignment |
| Multi-line expressions are only valid if all expressions con | exception | error | pandas, eval, multi-line, assignment |
| Cannot operate inplace if there is no assignment | exception | error | pandas, eval, inplace, assignment |
| Cannot return a copy of the target | exception | error | pandas, eval, target, inplace, copy |
| Cannot assign expression output to target | exception | error | pandas, eval, target, assignment, setitem |
| '{node_name}' nodes are not implemented | exception | error | pandas, eval, ast, unsupported, grammar |
| only a single expression is allowed | exception | error | pandas, eval, parser, syntax, ast |
| unsupported operand type(s) for {res.op}: '{lhs.type}' and ' | exception | error | pandas, eval, dtype, numexpr, type-mismatch |
| can only assign a single expression | exception | error | pandas, eval, assignment, syntax |
| left hand side of an assignment must be a single name | exception | error | pandas, eval, assignment, syntax, subscript |
| cannot assign without a target object | exception | error | pandas, eval, target, assignment |
| left hand side of an assignment must be a single resolvable | exception | error | pandas, eval, assignment, validation |
| Invalid Attribute context {type(ctx).__name__} | exception | error | pandas, eval, attribute, ast-context |
| Only named functions are supported | exception | error | pandas, eval, functions, lambda, call |
| Invalid function call {node.func.id} | exception | error | pandas, eval, functions, name-resolution |
| Function "{res.name}" does not support keyword arguments | exception | error | pandas, eval, functions, numexpr, kwargs |
| keyword error in function call '{node.func.id}' | exception | error | pandas, eval, functions, ast, internal, defensive |
| N-dimensional objects, where N > 2, are not supported with e | exception | error | pandas, eval, ndarray, dimensionality |
| Invalid binary operator {op!r}, valid operators are {keys} | exception | error | pandas, eval, operators, internal |
| cannot evaluate scalar only bool ops | exception | error | pandas, eval, boolean, scalar |
| Invalid unary operator {op!r}, valid operators are {UNARY_OP | exception | error | pandas, eval, operators, unary, internal |
| "{name}" is not a supported function | exception | error | pandas, eval, functions, math |
| Could not convert '{name}' to a valid Python identifier. | exception | error | pandas, query, parsing, identifiers, column-names |
| name {self.name!r} is not defined | exception | error | pandas, hdf5, pytables, where, column-names |
| arithmetic operations are not supported inside an HDFStore ' | exception | error | pandas, hdf5, pytables, where, arithmetic |
| Cannot compare {conv_val} of type {type(conv_val)} to {kind} | exception | error | pandas, hdf5, pytables, type-mismatch, where |
| query term is not valid [{self}] | exception | error | pandas, hdf5, pytables, where, validation |
| passing a filterable condition to a non-table indexer [{self | exception | error | pandas, hdf5, pytables, where, data-columns |
| unable to collapse Joint Filters | exception | error | pandas, hdf5, pytables, where, filters |
| cannot use an invert condition when passing to numexpr | exception | error | pandas, hdf5, pytables, where, numexpr, inversion |
| UnaryOp only support invert type ops | exception | error | pandas, hdf5, pytables, where, unary |
| Unary addition not supported | exception | error | pandas, hdf5, pytables, where, unary |
| cannot subscript {value!r} with {slobj!r} | exception | error | pandas, hdf5, pytables, where, subscript |
| Invalid Attribute context {ctx.__name__} | exception | error | pandas, hdf5, pytables, where, attribute, ast |
| where must be passed as a string, PyTablesExpr, or list-like | exception | error | pandas, hdf5, pytables, where, type-validation |
| cannot process expression [{self.expr}], [{self}] is not a v | exception | error | pandas, hdf5, pytables, where, condition |
| cannot process expression [{self.expr}], [{self}] is not a v | exception | error | hdfstore, pytables, query, where-filter |
| name '{key}' is not defined | exception | error | query, eval, name-resolution, undefined-variable |
| local variable '{key}' is not defined | exception | error | query, eval, name-resolution, local-variable, undefined-variable |
| Value must be a positive integer or None | validation | error | config, options, threading, validation, read-csv |
| Value must be one of python|pyarrow | validation | error | config, options, string-dtype, pyarrow, validation |