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Python jpl_units.km方法代码示例

本文整理汇总了Python中matplotlib.testing.jpl_units.km方法的典型用法代码示例。如果您正苦于以下问题:Python jpl_units.km方法的具体用法?Python jpl_units.km怎么用?Python jpl_units.km使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在matplotlib.testing.jpl_units的用法示例。


在下文中一共展示了jpl_units.km方法的6个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: test_polar_units

# 需要导入模块: from matplotlib.testing import jpl_units [as 别名]
# 或者: from matplotlib.testing.jpl_units import km [as 别名]
def test_polar_units():
    import matplotlib.testing.jpl_units as units
    from nose.tools import assert_true
    units.register()

    pi = np.pi
    deg = units.UnitDbl(1.0, "deg")
    km = units.UnitDbl(1.0, "km")

    x1 = [pi/6.0, pi/4.0, pi/3.0, pi/2.0]
    x2 = [30.0*deg, 45.0*deg, 60.0*deg, 90.0*deg]

    y1 = [1.0, 2.0, 3.0, 4.0]
    y2 = [4.0, 3.0, 2.0, 1.0]

    fig = plt.figure()

    plt.polar(x2, y1, color="blue")

    # polar(x2, y1, color = "red", xunits="rad")
    # polar(x2, y2, color = "green")

    fig = plt.figure()

    # make sure runits and theta units work
    y1 = [y*km for y in y1]
    plt.polar(x2, y1, color="blue", thetaunits="rad", runits="km")
    assert_true(isinstance(plt.gca().get_xaxis().get_major_formatter(), units.UnitDblFormatter)) 
开发者ID:miloharper,项目名称:neural-network-animation,代码行数:30,代码来源:test_axes.py

示例2: test_polar_units

# 需要导入模块: from matplotlib.testing import jpl_units [as 别名]
# 或者: from matplotlib.testing.jpl_units import km [as 别名]
def test_polar_units():
    import matplotlib.testing.jpl_units as units
    units.register()

    pi = np.pi
    deg = units.deg
    km = units.km

    x1 = [pi/6.0, pi/4.0, pi/3.0, pi/2.0]
    x2 = [30.0*deg, 45.0*deg, 60.0*deg, 90.0*deg]

    y1 = [1.0, 2.0, 3.0, 4.0]
    y2 = [4.0, 3.0, 2.0, 1.0]

    fig = plt.figure()

    plt.polar(x2, y1, color="blue")

    # polar(x2, y1, color = "red", xunits="rad")
    # polar(x2, y2, color = "green")

    fig = plt.figure()

    # make sure runits and theta units work
    y1 = [y*km for y in y1]
    plt.polar(x2, y1, color="blue", thetaunits="rad", runits="km")
    assert isinstance(plt.gca().get_xaxis().get_major_formatter(),
                      units.UnitDblFormatter) 
开发者ID:holzschu,项目名称:python3_ios,代码行数:30,代码来源:test_axes.py

示例3: test_jpl_bar_units

# 需要导入模块: from matplotlib.testing import jpl_units [as 别名]
# 或者: from matplotlib.testing.jpl_units import km [as 别名]
def test_jpl_bar_units():
    from datetime import datetime
    import matplotlib.testing.jpl_units as units
    units.register()

    day = units.Duration("ET", 24.0 * 60.0 * 60.0)
    x = [0*units.km, 1*units.km, 2*units.km]
    w = [1*day, 2*day, 3*day]
    b = units.Epoch("ET", dt=datetime(2009, 4, 25))

    fig, ax = plt.subplots()
    ax.bar(x, w, bottom=b)
    ax.set_ylim([b-1*day, b+w[-1]+1*day]) 
开发者ID:holzschu,项目名称:python3_ios,代码行数:15,代码来源:test_units.py

示例4: test_jpl_barh_units

# 需要导入模块: from matplotlib.testing import jpl_units [as 别名]
# 或者: from matplotlib.testing.jpl_units import km [as 别名]
def test_jpl_barh_units():
    from datetime import datetime
    import matplotlib.testing.jpl_units as units
    units.register()

    day = units.Duration("ET", 24.0 * 60.0 * 60.0)
    x = [0*units.km, 1*units.km, 2*units.km]
    w = [1*day, 2*day, 3*day]
    b = units.Epoch("ET", dt=datetime(2009, 4, 25))

    fig, ax = plt.subplots()
    ax.barh(x, w, left=b)
    ax.set_xlim([b-1*day, b+w[-1]+1*day]) 
开发者ID:holzschu,项目名称:python3_ios,代码行数:15,代码来源:test_units.py

示例5: test_units_rectangle

# 需要导入模块: from matplotlib.testing import jpl_units [as 别名]
# 或者: from matplotlib.testing.jpl_units import km [as 别名]
def test_units_rectangle():
    import matplotlib.testing.jpl_units as U
    U.register()

    p = mpatches.Rectangle((5*U.km, 6*U.km), 1*U.km, 2*U.km)

    fig, ax = plt.subplots()
    ax.add_patch(p)
    ax.set_xlim([4*U.km, 7*U.km])
    ax.set_ylim([5*U.km, 9*U.km]) 
开发者ID:holzschu,项目名称:python3_ios,代码行数:12,代码来源:test_patches.py

示例6: test_formatter_ticker

# 需要导入模块: from matplotlib.testing import jpl_units [as 别名]
# 或者: from matplotlib.testing.jpl_units import km [as 别名]
def test_formatter_ticker():
    import matplotlib.testing.jpl_units as units
    units.register()

    # This should affect the tick size.  (Tests issue #543)
    matplotlib.rcParams['lines.markeredgewidth'] = 30

    # This essentially test to see if user specified labels get overwritten
    # by the auto labeler functionality of the axes.
    xdata = [x*units.sec for x in range(10)]
    ydata1 = [(1.5*y - 0.5)*units.km for y in range(10)]
    ydata2 = [(1.75*y - 1.0)*units.km for y in range(10)]

    fig = plt.figure()
    ax = plt.subplot(111)
    ax.set_xlabel("x-label 001")

    fig = plt.figure()
    ax = plt.subplot(111)
    ax.set_xlabel("x-label 001")
    ax.plot(xdata, ydata1, color='blue', xunits="sec")

    fig = plt.figure()
    ax = plt.subplot(111)
    ax.set_xlabel("x-label 001")
    ax.plot(xdata, ydata1, color='blue', xunits="sec")
    ax.set_xlabel("x-label 003")

    fig = plt.figure()
    ax = plt.subplot(111)
    ax.plot(xdata, ydata1, color='blue', xunits="sec")
    ax.plot(xdata, ydata2, color='green', xunits="hour")
    ax.set_xlabel("x-label 004")

    # See SF bug 2846058
    # https://sourceforge.net/tracker/?func=detail&aid=2846058&group_id=80706&atid=560720
    fig = plt.figure()
    ax = plt.subplot(111)
    ax.plot(xdata, ydata1, color='blue', xunits="sec")
    ax.plot(xdata, ydata2, color='green', xunits="hour")
    ax.set_xlabel("x-label 005")
    ax.autoscale_view() 
开发者ID:miloharper,项目名称:neural-network-animation,代码行数:44,代码来源:test_axes.py


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