本文整理汇总了Python中cis.stats.StatsAnalyzer类的典型用法代码示例。如果您正苦于以下问题:Python StatsAnalyzer类的具体用法?Python StatsAnalyzer怎么用?Python StatsAnalyzer使用的例子?那么, 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StatsAnalyzer类的15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_GIVEN_divide_by_zeros_WHEN_rel_stddev_THEN_rel_stddev_correct
def test_GIVEN_divide_by_zeros_WHEN_rel_stddev_THEN_rel_stddev_correct(self):
# Zeros in the first array cause undefined values in the relative calculations.
data_with_zeros = self.data1
data_with_zeros.data[0][1] = 0
stats = StatsAnalyzer(data_with_zeros, self.missing2)
res = stats.rel_stddev()
assert_that(res[0].rel_stddev, close_to(5.8725242578, 1e-5))
示例2: stats_cmd
def stats_cmd(main_arguments):
"""
Main routine for handling calls to the statistics command.
:param main_arguments: The command line arguments (minus the stats command)
"""
from cis.stats import StatsAnalyzer
from cis.data_io.gridded_data import GriddedDataList
data_reader = DataReader()
data_list = data_reader.read_datagroups(main_arguments.datagroups)
analyzer = StatsAnalyzer(*data_list)
results = analyzer.analyze()
header = "RESULTS OF STATISTICAL COMPARISON:"
note = "Compared all points which have non-missing values in both variables"
header_length = max(len(header), len(note))
print(header_length * '=')
print(header)
print(header_length * '-')
print(note)
print(header_length * '=')
for result in results:
print(result.pprint())
if main_arguments.output:
cubes = GriddedDataList([result.as_cube() for result in results])
variables = []
filenames = []
for datagroup in main_arguments.datagroups:
variables.extend(datagroup['variables'])
filenames.extend(datagroup['filenames'])
history = "Statistical comparison performed using CIS version " + __version__ + \
"\n variables: " + str(variables) + \
"\n from files: " + str(set(filenames))
cubes.add_history(history)
cubes.save_data(main_arguments.output)
示例3: test_GIVEN_missing_values_WHEN_analyze_THEN_original_data_unchanged
def test_GIVEN_missing_values_WHEN_analyze_THEN_original_data_unchanged(self):
# We perform some manipulation on the data masks, but we don't want the
# original data to be changed.
stats = StatsAnalyzer(self.missing1, self.missing2)
results = stats.analyze()
assert_that(len(self.missing1.data.compressed()), is_(7))
assert_that(len(self.missing2.data.compressed()), is_(7))
示例4: test_GIVEN_divide_by_zeros_WHEN_rel_mean_THEN_rel_mean_correct
def test_GIVEN_divide_by_zeros_WHEN_rel_mean_THEN_rel_mean_correct(self):
# Zeros in the first array cause undefined values in the relative calculations.
data_with_zeros = self.data1
data_with_zeros.data[0][1] = 0
stats = StatsAnalyzer(data_with_zeros, self.missing2)
res = stats.rel_mean()
assert_that(res[0].rel_mean, close_to(-2.3518849206, 1e-5))
示例5: test_GIVEN_flattened_and_unflattened_datasets_WHEN_analyze_THEN_StatisticsResults_returned
def test_GIVEN_flattened_and_unflattened_datasets_WHEN_analyze_THEN_StatisticsResults_returned(self):
data1 = mock.make_regular_2d_ungridded_data()
data2 = mock.make_regular_2d_ungridded_data()
data2._data = data2.data_flattened
for coord in data2.coords():
coord._data = coord.data_flattened
stats = StatsAnalyzer(data1, data2)
results = stats.analyze()
assert_that(len(results), is_(14))
示例6: test_GIVEN_one_masked_one_nparray_WHEN_lin_regression_THEN_regression_correct
def test_GIVEN_one_masked_one_nparray_WHEN_lin_regression_THEN_regression_correct(self):
stats = StatsAnalyzer(self.data1, self.missing2)
res = stats.linear_regression()
expected_res = [-5.1404761905, 12.3595238095, -0.4079085869, 5.14561290806]
actual_res = res[0].grad, res[1].intercept, res[2].r, res[3].stderr
assert_that(np.allclose(actual_res, expected_res))
示例7: test_GIVEN_missing_vals_WHEN_lin_regression_THEN_regression_correct
def test_GIVEN_missing_vals_WHEN_lin_regression_THEN_regression_correct(self):
stats = StatsAnalyzer(self.missing1, self.missing2)
res = stats.linear_regression()
expected_res = [1.1920369653, -0.6908343017, 0.999845219, 0.0104877890357]
actual_res = res[0].grad, res[1].intercept, res[2].r, res[3].stderr
assert_that(np.allclose(actual_res, expected_res))
示例8: test_GIVEN_no_missing_vals_WHEN_abs_stddev_THEN_abs_stddev_correct
def test_GIVEN_no_missing_vals_WHEN_abs_stddev_THEN_abs_stddev_correct(self):
stats = StatsAnalyzer(self.data1, self.data2)
res = stats.abs_stddev()
assert_that(res[0].abs_stddev, close_to(0.2643650675, 1e-5))
示例9: test_GIVEN_missing_vals_WHEN_abs_mean_THEN_abs_mean_correct
def test_GIVEN_missing_vals_WHEN_abs_mean_THEN_abs_mean_correct(self):
stats = StatsAnalyzer(self.missing1, self.missing2)
res = stats.abs_mean()
assert_that(res[0].abs_mean, close_to(-3.2833333333, 1e-5))
示例10: test_GIVEN_missing_vals_WHEN_stddev_THEN_stddev_correct
def test_GIVEN_missing_vals_WHEN_stddev_THEN_stddev_correct(self):
stats = StatsAnalyzer(self.missing1, self.missing2)
res = stats.stddevs()
assert_that(res[0].stddev, close_to(42.5099988238, 1e-5))
assert_that(res[1].stddev, close_to(50.6813344997, 1e-5))
示例11: test_GIVEN_one_masked_one_nparray_WHEN_abs_stddev_THEN_abs_stddev_correct
def test_GIVEN_one_masked_one_nparray_WHEN_abs_stddev_THEN_abs_stddev_correct(self):
stats = StatsAnalyzer(self.data1, self.missing2)
res = stats.abs_stddev()
assert_that(res[0].abs_stddev, close_to(48.7984582114, 1e-5))
示例12: test_GIVEN_one_masked_one_nparray_WHEN_rel_stddev_THEN_rel_stddev_correct
def test_GIVEN_one_masked_one_nparray_WHEN_rel_stddev_THEN_rel_stddev_correct(self):
stats = StatsAnalyzer(self.data1, self.missing2)
res = stats.rel_stddev()
assert_that(res[0].rel_stddev, close_to(5.4371807462, 1e-5))
示例13: test_GIVEN_missing_vals_WHEN_rel_stddev_THEN_rel_stddev_correct
def test_GIVEN_missing_vals_WHEN_rel_stddev_THEN_rel_stddev_correct(self):
stats = StatsAnalyzer(self.missing1, self.missing2)
res = stats.rel_stddev()
assert_that(res[0].rel_stddev, close_to(0.1930820326, 1e-5))
示例14: test_GIVEN_no_missing_vals_WHEN_rel_stddev_THEN_rel_stddev_correct
def test_GIVEN_no_missing_vals_WHEN_rel_stddev_THEN_rel_stddev_correct(self):
stats = StatsAnalyzer(self.data1, self.data2)
res = stats.rel_stddev()
assert_that(res[0].rel_stddev, close_to(0.1097392069, 1e-5))
示例15: test_GIVEN_one_masked_one_nparray_WHEN_rel_mean_THEN_rel_mean_correct
def test_GIVEN_one_masked_one_nparray_WHEN_rel_mean_THEN_rel_mean_correct(self):
stats = StatsAnalyzer(self.data1, self.missing2)
res = stats.rel_mean()
assert_that(res[0].rel_mean, close_to(-2.0087585034, 1e-5))