本文整理汇总了Python中Orange.data.Table.to_numpy方法的典型用法代码示例。如果您正苦于以下问题：Python Table.to_numpy方法的具体用法？Python Table.to_numpy怎么用？Python Table.to_numpy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类Orange.data.Table的用法示例。
在下文中一共展示了Table.to_numpy方法的4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: plot_showcase_with_clusters
# 需要导入模块: from Orange.data import Table [as 别名]
# 或者: from Orange.data.Table import to_numpy [as 别名]
def plot_showcase_with_clusters():
ds = Table('showcase')
X, = ds.to_numpy("a")
w, means, covars, priors = em(X, 3, 100)
stdevs = np.sqrt(covars)
m, M = X.min(axis=0), X.max(axis=0)
X = (X - m) / (M - m)
means = (means - m) / (M - m)
stdevs /= M - m
parallel_coordinates_plot("showcase-clusters.pdf", X, means, stdevs)示例2: plot_wine_with_km
# 需要导入模块: from Orange.data import Table [as 别名]
# 或者: from Orange.data.Table import to_numpy [as 别名]
def plot_wine_with_km():
ds = Table('wine')
X, = ds.to_numpy("a")
X = X[:, (3,4,5,6,9)]
w, means, covars, priors = em(X, 3, 0)
stdevs = np.sqrt(covars)
m, M = X.min(axis=0), X.max(axis=0)
X = (X - m) / (M - m)
means = (means - m) / (M - m)
stdevs /= M - m
parallel_coordinates_plot("wine-km.pdf", X, means, stdevs)示例3: plot_yeast_with_km
# 需要导入模块: from Orange.data import Table [as 别名]
# 或者: from Orange.data.Table import to_numpy [as 别名]
def plot_yeast_with_km():
ds = Table('yeast-class-RPR')
from Orange.feature.imputation import AverageConstructor
ds = AverageConstructor()(ds)(ds)
X, = ds.to_numpy("a")
X = X[:, (72, 73, 74, 75, 76, 77, 78)]
w, means, covars, priors = em(X, 4, 0)
stdevs = np.sqrt(covars)
m, M = X.min(axis=0), X.max(axis=0)
X = (X - m) / (M - m)
means = (means - m) / (M - m)
stdevs /= M - m
parallel_coordinates_plot("yeast-km.pdf", X, means, stdevs)示例4: plot_showcase
# 需要导入模块: from Orange.data import Table [as 别名]
# 或者: from Orange.data.Table import to_numpy [as 别名]
def plot_showcase():
ds = Table('showcase')
X, = ds.to_numpy("a")
m, M = X.min(axis=0), X.max(axis=0)
X = (X - m) / (M - m)
def annotate_critical_areas(ax):
ax.add_artist(Ellipse(xy=(1., 0.6,), width=.1, height=0.3, facecolor='none'))
ax.annotate('1.', xy=(1, 0.6), xytext=(0.5, 0.4),
arrowprops=dict(facecolor='white', shrink=0.05))
ax.add_artist(Ellipse(xy=(2., 0.725,), width=.1, height=0.5, facecolor='none'))
ax.add_artist(Ellipse(xy=(3., 0.8,), width=.1, height=0.4, facecolor='none'))
ax.annotate('2.', xy=(2., 0.725), xytext=(2.5, 0.5),
arrowprops=dict(facecolor='white', shrink=0.05))
ax.annotate('2.', xy=(3., 0.725), xytext=(2.5, 0.5),
arrowprops=dict(facecolor='white', shrink=0.05))
parallel_coordinates_plot("showcase-lines.pdf", X, annotate=annotate_critical_areas)