本文整理汇总了Python中pandas.tests.plotting.common.TestPlotBase类的典型用法代码示例。如果您正苦于以下问题:Python TestPlotBase类的具体用法?Python TestPlotBase怎么用?Python TestPlotBase使用的例子?那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了TestPlotBase类的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: setup_method
def setup_method(self, method):
TestPlotBase.setup_method(self, method)
import matplotlib as mpl
mpl.rcdefaults()
self.ts = tm.makeTimeSeries()
self.ts.name = 'ts'
示例2: setUp
def setUp(self):
TestPlotBase.setUp(self)
import matplotlib as mpl
mpl.rcdefaults()
self.ts = tm.makeTimeSeries()
self.ts.name = 'ts'
示例3: setUp
def setUp(self):
TestPlotBase.setUp(self)
freq = ["S", "T", "H", "D", "W", "M", "Q", "A"]
idx = [period_range("12/31/1999", freq=x, periods=100) for x in freq]
self.period_ser = [Series(np.random.randn(len(x)), x) for x in idx]
self.period_df = [DataFrame(np.random.randn(len(x), 3), index=x, columns=["A", "B", "C"]) for x in idx]
freq = ["S", "T", "H", "D", "W", "M", "Q-DEC", "A", "1B30Min"]
idx = [date_range("12/31/1999", freq=x, periods=100) for x in freq]
self.datetime_ser = [Series(np.random.randn(len(x)), x) for x in idx]
self.datetime_df = [DataFrame(np.random.randn(len(x), 3), index=x, columns=["A", "B", "C"]) for x in idx]
示例4: setup_method
def setup_method(self, method):
TestPlotBase.setup_method(self, method)
import matplotlib as mpl
mpl.rcdefaults()
self.ts = tm.makeTimeSeries()
self.ts.name = 'ts'
self.series = tm.makeStringSeries()
self.series.name = 'series'
self.iseries = tm.makePeriodSeries()
self.iseries.name = 'iseries'
示例5: setUp
def setUp(self):
TestPlotBase.setUp(self)
import matplotlib as mpl
mpl.rcdefaults()
self.ts = tm.makeTimeSeries()
self.ts.name = "ts"
self.series = tm.makeStringSeries()
self.series.name = "series"
self.iseries = tm.makePeriodSeries()
self.iseries.name = "iseries"
示例6: setUp
def setUp(self):
TestPlotBase.setUp(self)
freq = ['S', 'T', 'H', 'D', 'W', 'M', 'Q', 'A']
idx = [period_range('12/31/1999', freq=x, periods=100) for x in freq]
self.period_ser = [Series(np.random.randn(len(x)), x) for x in idx]
self.period_df = [DataFrame(np.random.randn(len(x), 3), index=x,
columns=['A', 'B', 'C'])
for x in idx]
freq = ['S', 'T', 'H', 'D', 'W', 'M', 'Q-DEC', 'A', '1B30Min']
idx = [date_range('12/31/1999', freq=x, periods=100) for x in freq]
self.datetime_ser = [Series(np.random.randn(len(x)), x) for x in idx]
self.datetime_df = [DataFrame(np.random.randn(len(x), 3), index=x,
columns=['A', 'B', 'C'])
for x in idx]