a oEb@sdZddlmZddlmZmZGdddeZGdddeZGdd d e Z Gd d d eZ Gd d d e Z GdddeZGddde ZGdddeZGddde ZGdddeZGddde ZGdddeZGdddeZGdddeZGd d!d!eZd"S)#z% Expose public exceptions & warnings ) OptionError)OutOfBoundsDatetimeOutOfBoundsTimedeltac@seZdZdZdS)IntCastingNaNErrorzb Raised when attempting an astype operation on an array with NaN to an integer dtype. N__name__ __module__ __qualname____doc__r r V/home/ja/django-apps/lartica_env/lib/python3.9/site-packages/pandas/errors/__init__.pyr src@seZdZdZdS)NullFrequencyErrorz Error raised when a null `freq` attribute is used in an operation that needs a non-null frequency, particularly `DatetimeIndex.shift`, `TimedeltaIndex.shift`, `PeriodIndex.shift`. Nrr r r r r sr c@seZdZdZdS)PerformanceWarningzE Warning raised when there is a possible performance impact. Nrr r r r r src@seZdZdZdS)UnsupportedFunctionCallz Exception raised when attempting to call a numpy function on a pandas object, but that function is not supported by the object e.g. ``np.cumsum(groupby_object)``. Nrr r r r r&src@seZdZdZdS)UnsortedIndexErrorz Error raised when attempting to get a slice of a MultiIndex, and the index has not been lexsorted. Subclass of `KeyError`. Nrr r r r r.src@seZdZdZdS) ParserErrorao Exception that is raised by an error encountered in parsing file contents. This is a generic error raised for errors encountered when functions like `read_csv` or `read_html` are parsing contents of a file. See Also -------- read_csv : Read CSV (comma-separated) file into a DataFrame. read_html : Read HTML table into a DataFrame. Nrr r r r r5src@seZdZdZdS) DtypeWarninga Warning raised when reading different dtypes in a column from a file. Raised for a dtype incompatibility. This can happen whenever `read_csv` or `read_table` encounter non-uniform dtypes in a column(s) of a given CSV file. See Also -------- read_csv : Read CSV (comma-separated) file into a DataFrame. read_table : Read general delimited file into a DataFrame. Notes ----- This warning is issued when dealing with larger files because the dtype checking happens per chunk read. Despite the warning, the CSV file is read with mixed types in a single column which will be an object type. See the examples below to better understand this issue. Examples -------- This example creates and reads a large CSV file with a column that contains `int` and `str`. >>> df = pd.DataFrame({'a': (['1'] * 100000 + ['X'] * 100000 + ... ['1'] * 100000), ... 'b': ['b'] * 300000}) # doctest: +SKIP >>> df.to_csv('test.csv', index=False) # doctest: +SKIP >>> df2 = pd.read_csv('test.csv') # doctest: +SKIP ... # DtypeWarning: Columns (0) have mixed types Important to notice that ``df2`` will contain both `str` and `int` for the same input, '1'. >>> df2.iloc[262140, 0] # doctest: +SKIP '1' >>> type(df2.iloc[262140, 0]) # doctest: +SKIP >>> df2.iloc[262150, 0] # doctest: +SKIP 1 >>> type(df2.iloc[262150, 0]) # doctest: +SKIP One way to solve this issue is using the `dtype` parameter in the `read_csv` and `read_table` functions to explicit the conversion: >>> df2 = pd.read_csv('test.csv', sep=',', dtype={'a': str}) # doctest: +SKIP No warning was issued. Nrr r r r rCsrc@seZdZdZdS)EmptyDataErrorz Exception that is thrown in `pd.read_csv` (by both the C and Python engines) when empty data or header is encountered. Nrr r r r rzsrc@seZdZdZdS) ParserWarninga9 Warning raised when reading a file that doesn't use the default 'c' parser. Raised by `pd.read_csv` and `pd.read_table` when it is necessary to change parsers, generally from the default 'c' parser to 'python'. It happens due to a lack of support or functionality for parsing a particular attribute of a CSV file with the requested engine. Currently, 'c' unsupported options include the following parameters: 1. `sep` other than a single character (e.g. regex separators) 2. `skipfooter` higher than 0 3. `sep=None` with `delim_whitespace=False` The warning can be avoided by adding `engine='python'` as a parameter in `pd.read_csv` and `pd.read_table` methods. See Also -------- pd.read_csv : Read CSV (comma-separated) file into DataFrame. pd.read_table : Read general delimited file into DataFrame. Examples -------- Using a `sep` in `pd.read_csv` other than a single character: >>> import io >>> csv = '''a;b;c ... 1;1,8 ... 1;2,1''' >>> df = pd.read_csv(io.StringIO(csv), sep='[;,]') # doctest: +SKIP ... # ParserWarning: Falling back to the 'python' engine... Adding `engine='python'` to `pd.read_csv` removes the Warning: >>> df = pd.read_csv(io.StringIO(csv), sep='[;,]', engine='python') Nrr r r r rsrc@seZdZdZdS) MergeErrorzx Error raised when problems arise during merging due to problems with input data. Subclass of `ValueError`. Nrr r r r rsrc@seZdZdZdS)AccessorRegistrationWarningzC Warning for attribute conflicts in accessor registration. Nrr r r r rsrc@s(eZdZdZd ddZedddZdS) AbstractMethodErrorz Raise this error instead of NotImplementedError for abstract methods while keeping compatibility with Python 2 and Python 3. methodcCs6hd}||vr&td|d|d||_||_dS)N>propertyr classmethod staticmethodzmethodtype must be one of z, got z instead.) ValueError methodtypeclass_instance)selfrrtypesr r r __init__szAbstractMethodError.__init__)returncCs2|jdkr|jj}n t|jj}d|jd|S)NrzThis z' must be defined in the concrete class )rrrtype)rnamer r r __str__s   zAbstractMethodError.__str__N)r)rrr r r!strr%r r r r rs rc@seZdZdZdS)NumbaUtilErrorz= Error raised for unsupported Numba engine routines. Nrr r r r r'sr'c@seZdZdZdS)DuplicateLabelErrora Error raised when an operation would introduce duplicate labels. .. versionadded:: 1.2.0 Examples -------- >>> s = pd.Series([0, 1, 2], index=['a', 'b', 'c']).set_flags( ... allows_duplicate_labels=False ... ) >>> s.reindex(['a', 'a', 'b']) Traceback (most recent call last): ... DuplicateLabelError: Index has duplicates. positions label a [0, 1] Nrr r r r r(sr(c@seZdZdZdS)InvalidIndexErrorzd Exception raised when attempting to use an invalid index key. .. versionadded:: 1.1.0 Nrr r r r r)sr)N)r Zpandas._config.configrZpandas._libs.tslibsrrrrr WarningrrKeyErrorrrrrrrrNotImplementedErrorr Exceptionr'r(r)r r r r s"   7)