Sources_For_Win/Python/Lib/site-packages/matplotlib/pylab.py

"""
`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.

"""

from matplotlib.cbook import flatten, silent_list

import matplotlib as mpl

from matplotlib.dates import (
    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)

# bring all the symbols in so folks can import them from
# pylab in one fell swoop

## We are still importing too many things from mlab; more cleanup is needed.

from matplotlib.mlab import (
    detrend, detrend_linear, detrend_mean, detrend_none, window_hanning,
    window_none)

from matplotlib import cbook, mlab, pyplot as plt
from matplotlib.pyplot import *

from numpy import *
from numpy.fft import *
from numpy.random import *
from numpy.linalg import *

import numpy as np
import numpy.ma as ma

# don't let numpy's datetime hide stdlib
import datetime

# This is needed, or bytes will be numpy.random.bytes from
# "from numpy.random import *" above
bytes = __import__("builtins").bytes
# We also don't want the numpy version of these functions
abs = __import__("builtins").abs
max = __import__("builtins").max
min = __import__("builtins").min
round = __import__("builtins").round