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Commit c971b92

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author
y1thof
committed
remove more pylab references
1 parent f3e03d2 commit c971b92
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‎lib/matplotlib/backends/backend_template.py

Copy file name to clipboardExpand all lines: lib/matplotlib/backends/backend_template.py
+1-1Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -23,7 +23,7 @@
2323
matplotlib.use('xxx')
2424
import matplotlib.pyplot as plt
2525
plt.plot([1,2,3])
26-
show()
26+
plt.show()
2727
2828
matplotlib also supports external backends, so you can place you can
2929
use any module in your PYTHONPATH with the syntax::

‎lib/matplotlib/mlab.py

Copy file name to clipboardExpand all lines: lib/matplotlib/mlab.py
+8-6Lines changed: 8 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -4000,13 +4000,15 @@ def offset_line(y, yerr):
40004000
* A tuple of length 2. In this case, yerr[0] is the error below *y* and
40014001
yerr[1] is error above *y*. For example::
40024002
4003-
from pylab import *
4004-
x = linspace(0, 2*pi, num=100, endpoint=True)
4005-
y = sin(x)
4003+
import numpy as np
4004+
import matplotlib.pyplot as plt
4005+
4006+
x = np.linspace(0, 2*np.pi, num=100, endpoint=True)
4007+
y = np.sin(x)
40064008
y_minus, y_plus = mlab.offset_line(y, 0.1)
4007-
plot(x, y)
4008-
fill_between(x, ym, y2=yp)
4009-
show()
4009+
plt.plot(x, y)
4010+
plt.fill_between(x, y_minus, y2=y_plus)
4011+
plt.show()
40104012
40114013
"""
40124014
if cbook.is_numlike(yerr) or (cbook.iterable(yerr) and

‎lib/matplotlib/widgets.py

Copy file name to clipboardExpand all lines: lib/matplotlib/widgets.py
+32-32Lines changed: 32 additions & 32 deletions
Original file line numberDiff line numberDiff line change
@@ -1342,7 +1342,7 @@ class MultiCursor(Widget):
13421342
13431343
multi = MultiCursor(fig.canvas, (ax1, ax2), color='r', lw=1,
13441344
horizOn=False, vertOn=True)
1345-
show()
1345+
plt.show()
13461346
13471347
"""
13481348
def __init__(self, canvas, axes, useblit=True, horizOn=False, vertOn=True,
@@ -1954,33 +1954,33 @@ class RectangleSelector(_SelectorWidget):
19541954
19551955
Example usage::
19561956
1957-
from matplotlib.widgets import RectangleSelector
1958-
from pylab import *
1957+
import numpy as np
1958+
import matplotlib.pyplot as plt
1959+
from matplotlib.widgets import RectangleSelector
19591960
19601961
def onselect(eclick, erelease):
1961-
'eclick and erelease are matplotlib events at press and release'
1962-
print(' startposition : (%f, %f)' % (eclick.xdata, eclick.ydata))
1963-
print(' endposition : (%f, %f)' % (erelease.xdata, erelease.ydata))
1964-
print(' used button : ', eclick.button)
1962+
"eclick and erelease are matplotlib events at press and release."
1963+
print('startposition: (%f, %f)' % (eclick.xdata, eclick.ydata))
1964+
print('endposition : (%f, %f)' % (erelease.xdata, erelease.ydata))
1965+
print('used button : ', eclick.button)
19651966
19661967
def toggle_selector(event):
1967-
print(' Key pressed.')
1968+
print('Key pressed.')
19681969
if event.key in ['Q', 'q'] and toggle_selector.RS.active:
1969-
print(' RectangleSelector deactivated.')
1970+
print('RectangleSelector deactivated.')
19701971
toggle_selector.RS.set_active(False)
19711972
if event.key in ['A', 'a'] and not toggle_selector.RS.active:
1972-
print(' RectangleSelector activated.')
1973+
print('RectangleSelector activated.')
19731974
toggle_selector.RS.set_active(True)
19741975
1975-
x = arange(100)/(99.0)
1976-
y = sin(x)
1977-
fig = figure
1978-
ax = subplot(111)
1979-
ax.plot(x,y)
1976+
x = np.arange(100.) / 99
1977+
y = np.sin(x)
1978+
fig, ax = plt.subplots()
1979+
ax.plot(x, y)
19801980
19811981
toggle_selector.RS = RectangleSelector(ax, onselect, drawtype='line')
1982-
connect('key_press_event', toggle_selector)
1983-
show()
1982+
fig.canvas.connect('key_press_event', toggle_selector)
1983+
plt.show()
19841984
"""
19851985

19861986
_shape_klass = Rectangle
@@ -2385,33 +2385,33 @@ class EllipseSelector(RectangleSelector):
23852385
23862386
Example usage::
23872387
2388-
from matplotlib.widgets import EllipseSelector
2389-
from pylab import *
2388+
import numpy as np
2389+
import matplotlib.pyplot as plt
2390+
from matplotlib.widgets import EllipseSelector
23902391
23912392
def onselect(eclick, erelease):
2392-
'eclick and erelease are matplotlib events at press and release'
2393-
print(' startposition : (%f, %f)' % (eclick.xdata, eclick.ydata))
2394-
print(' endposition : (%f, %f)' % (erelease.xdata, erelease.ydata))
2395-
print(' used button : ', eclick.button)
2393+
"eclick and erelease are matplotlib events at press and release."
2394+
print('startposition: (%f, %f)' % (eclick.xdata, eclick.ydata))
2395+
print('endposition : (%f, %f)' % (erelease.xdata, erelease.ydata))
2396+
print('used button : ', eclick.button)
23962397
23972398
def toggle_selector(event):
23982399
print(' Key pressed.')
23992400
if event.key in ['Q', 'q'] and toggle_selector.ES.active:
2400-
print(' EllipseSelector deactivated.')
2401+
print('EllipseSelector deactivated.')
24012402
toggle_selector.RS.set_active(False)
24022403
if event.key in ['A', 'a'] and not toggle_selector.ES.active:
2403-
print(' EllipseSelector activated.')
2404+
print('EllipseSelector activated.')
24042405
toggle_selector.ES.set_active(True)
24052406
2406-
x = arange(100)/(99.0)
2407-
y = sin(x)
2408-
fig = figure
2409-
ax = subplot(111)
2410-
ax.plot(x,y)
2407+
x = np.arange(100.) / 99
2408+
y = np.sin(x)
2409+
fig, ax = plt.subplots()
2410+
ax.plot(x, y)
24112411
24122412
toggle_selector.ES = EllipseSelector(ax, onselect, drawtype='line')
2413-
connect('key_press_event', toggle_selector)
2414-
show()
2413+
fig.canvas.connect('key_press_event', toggle_selector)
2414+
plt.show()
24152415
"""
24162416
_shape_klass = Ellipse
24172417

‎tutorials/intermediate/artists.py

Copy file name to clipboardExpand all lines: tutorials/intermediate/artists.py
+4-4Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -218,7 +218,7 @@ class in the matplotlib API, and the one you will be working with most
218218
# If you are working interactively at the python shell, a handy way to
219219
# inspect the ``Artist`` properties is to use the
220220
# :func:`matplotlib.artist.getp` function (simply
221-
# :func:`~matplotlib.pylab.getp` in pylab), which lists the properties
221+
# :func:`~matplotlib.pyplot.getp` in pyplot), which lists the properties
222222
# and their values. This works for classes derived from ``Artist`` as
223223
# well, e.g., ``Figure`` and ``Rectangle``. Here are the ``Figure`` rectangle
224224
# properties mentioned above:
@@ -556,9 +556,9 @@ class in the matplotlib API, and the one you will be working with most
556556
# the ticks are placed and how they are represented as strings.
557557
#
558558
# Each ``Axis`` object contains a :attr:`~matplotlib.axis.Axis.label` attribute
559-
# (this is what :mod:`~matplotlib.pylab` modifies in calls to
560-
# :func:`~matplotlib.pylab.xlabel` and :func:`~matplotlib.pylab.ylabel`) as well
561-
# as a list of major and minor ticks. The ticks are
559+
# (this is what :mod:`~matplotlib.pyplot` modifies in calls to
560+
# :func:`~matplotlib.pyplot.xlabel` and :func:`~matplotlib.pyplot.ylabel`) as
561+
# well as a list of major and minor ticks. The ticks are
562562
# :class:`~matplotlib.axis.XTick` and :class:`~matplotlib.axis.YTick` instances,
563563
# which contain the actual line and text primitives that render the ticks and
564564
# ticklabels. Because the ticks are dynamically created as needed (e.g., when

‎tutorials/introductory/usage.py

Copy file name to clipboardExpand all lines: tutorials/introductory/usage.py
+2-1Lines changed: 2 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -184,7 +184,8 @@
184184
# :mod:`pylab` is a convenience module that bulk imports
185185
# :mod:`matplotlib.pyplot` (for plotting) and :mod:`numpy`
186186
# (for mathematics and working with arrays) in a single name space.
187-
# Although many examples use :mod:`pylab`, it is no longer recommended.
187+
# pylab is deprecated and its use is strongly discouraged because
188+
# of namespace pollution. Use pyplot instead.
188189
#
189190
# For non-interactive plotting it is suggested
190191
# to use pyplot to create the figures and then the OO interface for

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