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`pylab` is a historic interface and its use is strongly discouraged. The equivalent
replacement is `matplotlib.pyplot`.  See :ref:`api_interfaces` for a full overview
of Matplotlib interfaces.

`pylab` was designed to support a MATLAB-like way of working with all plotting related
functions directly available in the global namespace. This was achieved through a
wildcard import (``from pylab import *``).

.. warning::
   The use of `pylab` is discouraged for the following reasons:

   ``from pylab import *`` imports all the functions from `matplotlib.pyplot`, `numpy`,
   `numpy.fft`, `numpy.linalg`, and `numpy.random`, and some additional functions into
   the global namespace.

   Such a pattern is considered bad practice in modern python, as it clutters the global
   namespace. Even more severely, in the case of `pylab`, this will overwrite some
   builtin functions (e.g. the builtin `sum` will be replaced by `numpy.sum`), which
   can lead to unexpected behavior.

    )flattensilent_listN)date2numnum2datedatestr2numdrangeDateFormatterDateLocatorRRuleLocatorYearLocatorMonthLocatorWeekdayLocator
DayLocatorHourLocatorMinuteLocatorSecondLocatorrruleMOTUWETHFRSASUYEARLYMONTHLYWEEKLYDAILYHOURLYMINUTELYSECONDLYrelativedelta)detrenddetrend_lineardetrend_meandetrend_nonewindow_hanningwindow_none)cbookmlabpyplot)*builtins)A__doc__matplotlib.cbookr   r   
matplotlibmplmatplotlib.datesr   r   r   r   r	   r
   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r    r!   r"   matplotlib.mlabr#   r$   r%   r&   r'   r(   r)   r*   r+   pltmatplotlib.pyplotnumpy	numpy.fftnumpy.randomnumpy.linalgnpnumpy.mamadatetime
__import__bytesabsboolmaxminpowround     P/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/matplotlib/pylab.py<module>rI      s   . 2 1 1 1 1 1 1 1                                                                                   2 1 1 1 1 1 1 1 1 1                                	
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