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B �5�gS � @ s d Z ddlmZ ddlmZmZ G dd� de�ZG dd� de�ZG dd � d e �Z G d d � d e�Z G d d � d e �Z G dd� de�ZG dd� de �ZG dd� de�ZG dd� de �ZG dd� de�ZG dd� de �ZG dd� de�ZG d d � d e�ZG d d � d e�ZG d d!� d!e�Zd"S )#z% Expose public exceptions & warnings � )� OptionError)�OutOfBoundsDatetime�OutOfBoundsTimedeltac @ s e Zd ZdZdS )�IntCastingNaNErrorzb raised when attempting an astype operation on an array with NaN to an integer dtype. N)�__name__� __module__� __qualname__�__doc__� r r �L/home/digitalm-up/venv/lib/python3.7/site-packages/pandas/errors/__init__.pyr s r c @ s e Zd ZdZdS )�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`. N)r r r r r r r r r s r c @ s e Zd ZdZdS )�PerformanceWarningzE Warning raised when there is a possible performance impact. N)r r r r r r r r r " s r c @ s e Zd ZdZdS )�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)``. N)r r r r r r r r r ( s r c @ s e Zd ZdZdS )�UnsortedIndexErrorz� Error raised when attempting to get a slice of a MultiIndex, and the index has not been lexsorted. Subclass of `KeyError`. N)r r r r r r r r r 0 s r c @ s e Zd ZdZdS )� 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. N)r r r r r r r r r 7 s r c @ s e Zd ZdZdS )� 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}) >>> df.to_csv('test.csv', index=False) >>> df2 = pd.read_csv('test.csv') ... # 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] '1' >>> type(df2.iloc[262140, 0]) <class 'str'> >>> df2.iloc[262150, 0] 1 >>> type(df2.iloc[262150, 0]) <class 'int'> 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}) No warning was issued. >>> import os >>> os.remove('test.csv') N)r r r r r r r r r E s 7r c @ s e Zd ZdZdS )�EmptyDataErrorz� Exception that is thrown in `pd.read_csv` (by both the C and Python engines) when empty data or header is encountered. N)r r r r r r r r r s r c @ s e Zd ZdZdS )� 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') N)r r r r r r r r r � s &r c @ s e Zd ZdZdS )� MergeErrorzx Error raised when problems arise during merging due to problems with input data. Subclass of `ValueError`. N)r r r r r r r r r � s r c @ s e Zd ZdZdS )�AccessorRegistrationWarningzC Warning for attribute conflicts in accessor registration. N)r r r r r r r r r � s r c @ s( e Zd ZdZd dd�Zed�dd�ZdS ) �AbstractMethodErrorz� Raise this error instead of NotImplementedError for abstract methods while keeping compatibility with Python 2 and Python 3. �methodc C s: ddddh}||kr*t d|� d|� d���|| _|| _d S )Nr � classmethod� staticmethod�propertyzmethodtype must be one of z, got z instead.)� ValueError� methodtype�class_instance)�selfr r �typesr r r �__init__� s z AbstractMethodError.__init__)�returnc C s2 | j dkr| jj}n t| j�j}d| j � d|� �S )Nr zThis z' must be defined in the concrete class )r r r �type)r �namer r r �__str__� s zAbstractMethodError.__str__N)r )r r r r r �strr$ r r r r r � s r c @ s e Zd ZdZdS )�NumbaUtilErrorz= Error raised for unsupported Numba engine routines. N)r r r r r r r r r& � s r& c @ s e Zd ZdZdS )�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] N)r r r r r r r r r' � s r' c @ s e Zd ZdZdS )�InvalidIndexErrorzd Exception raised when attempting to use an invalid index key. .. versionadded:: 1.1.0 N)r r r r r r r r r( � s r( N)r Zpandas._config.configr Zpandas._libs.tslibsr r r r r �Warningr r �KeyErrorr r r r r r r �NotImplementedErrorr � Exceptionr& r' r( r r r r �<module> s" :)
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