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68 lines
2.3 KiB
Python
68 lines
2.3 KiB
Python
"""
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`pylab` is a historic interface and its use is strongly discouraged. The equivalent
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replacement is `matplotlib.pyplot`. See :ref:`api_interfaces` for a full overview
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of Matplotlib interfaces.
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`pylab` was designed to support a MATLAB-like way of working with all plotting related
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functions directly available in the global namespace. This was achieved through a
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wildcard import (``from pylab import *``).
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.. warning::
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The use of `pylab` is discouraged for the following reasons:
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``from pylab import *`` imports all the functions from `matplotlib.pyplot`, `numpy`,
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`numpy.fft`, `numpy.linalg`, and `numpy.random`, and some additional functions into
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the global namespace.
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Such a pattern is considered bad practice in modern python, as it clutters the global
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namespace. Even more severely, in the case of `pylab`, this will overwrite some
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builtin functions (e.g. the builtin `sum` will be replaced by `numpy.sum`), which
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can lead to unexpected behavior.
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"""
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from matplotlib.cbook import flatten, silent_list
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import matplotlib as mpl
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from matplotlib.dates import (
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date2num, num2date, datestr2num, drange, DateFormatter, DateLocator,
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RRuleLocator, YearLocator, MonthLocator, WeekdayLocator, DayLocator,
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HourLocator, MinuteLocator, SecondLocator, rrule, MO, TU, WE, TH, FR,
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SA, SU, YEARLY, MONTHLY, WEEKLY, DAILY, HOURLY, MINUTELY, SECONDLY,
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relativedelta)
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# bring all the symbols in so folks can import them from
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# pylab in one fell swoop
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## We are still importing too many things from mlab; more cleanup is needed.
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from matplotlib.mlab import (
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detrend, detrend_linear, detrend_mean, detrend_none, window_hanning,
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window_none)
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from matplotlib import cbook, mlab, pyplot as plt
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from matplotlib.pyplot import *
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from numpy import *
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from numpy.fft import *
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from numpy.random import *
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from numpy.linalg import *
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import numpy as np
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import numpy.ma as ma
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# don't let numpy's datetime hide stdlib
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import datetime
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# This is needed, or bytes will be numpy.random.bytes from
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# "from numpy.random import *" above
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bytes = __import__("builtins").bytes
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# We also don't want the numpy version of these functions
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abs = __import__("builtins").abs
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bool = __import__("builtins").bool
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max = __import__("builtins").max
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min = __import__("builtins").min
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pow = __import__("builtins").pow
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round = __import__("builtins").round
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