FM / multi

/usr/local/lib64/python3.6/site-packages/pandas/tests/indexes/multi/

/usr/local/lib64/python3.6/site-packages/pandas/tests/indexes/multi

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
conftest.py	2216	0644	edit dl rm
test_analytics.py	6984	0644	edit dl rm
test_astype.py	924	0644	edit dl rm
test_compat.py	3534	0644	edit dl rm
test_constructors.py	25646	0644	edit dl rm
test_conversion.py	4189	0644	edit dl rm
test_copy.py	2341	0644	edit dl rm
test_drop.py	4428	0644	edit dl rm
test_duplicates.py	10163	0644	edit dl rm
test_equivalence.py	7083	0644	edit dl rm
test_formats.py	7784	0644	edit dl rm
test_get_level_values.py	3579	0644	edit dl rm
test_get_set.py	11720	0644	edit dl rm
test_indexing.py	29907	0644	edit dl rm
test_integrity.py	8489	0644	edit dl rm
test_isin.py	3174	0644	edit dl rm
test_join.py	3788	0644	edit dl rm
test_lexsort.py	1351	0644	edit dl rm
test_missing.py	3378	0644	edit dl rm
test_monotonic.py	6936	0644	edit dl rm
test_names.py	4593	0644	edit dl rm
test_partial_indexing.py	3376	0644	edit dl rm
test_reindex.py	3745	0644	edit dl rm
test_reshape.py	5041	0644	edit dl rm
test_setops.py	12181	0644	edit dl rm
test_sorting.py	8406	0644	edit dl rm
test_take.py	2501	0644	edit dl rm
__init__.py	0	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/pandas/tests/indexes/multi/conftest.py (2216B)

import numpy as np
import pytest

import pandas as pd
from pandas import Index, MultiIndex

@pytest.fixture
def idx():
    # a MultiIndex used to test the general functionality of the
    # general functionality of this object
    major_axis = Index(["foo", "bar", "baz", "qux"])
    minor_axis = Index(["one", "two"])

major_codes = np.array([0, 0, 1, 2, 3, 3])
    minor_codes = np.array([0, 1, 0, 1, 0, 1])
    index_names = ["first", "second"]
    mi = MultiIndex(
        levels=[major_axis, minor_axis],
        codes=[major_codes, minor_codes],
        names=index_names,
        verify_integrity=False,
    )
    return mi

@pytest.fixture
def idx_dup():
    # compare tests/indexes/multi/conftest.py
    major_axis = Index(["foo", "bar", "baz", "qux"])
    minor_axis = Index(["one", "two"])

major_codes = np.array([0, 0, 1, 0, 1, 1])
    minor_codes = np.array([0, 1, 0, 1, 0, 1])
    index_names = ["first", "second"]
    mi = MultiIndex(
        levels=[major_axis, minor_axis],
        codes=[major_codes, minor_codes],
        names=index_names,
        verify_integrity=False,
    )
    return mi

@pytest.fixture
def index_names():
    # names that match those in the idx fixture for testing equality of
    # names assigned to the idx
    return ["first", "second"]

@pytest.fixture
def compat_props():
    # a MultiIndex must have these properties associated with it
    return ["shape", "ndim", "size"]

@pytest.fixture
def narrow_multi_index():
    """
    Return a MultiIndex that is narrower than the display (<80 characters).
    """
    n = 1000
    ci = pd.CategoricalIndex(list("a" * n) + (["abc"] * n))
    dti = pd.date_range("2000-01-01", freq="s", periods=n * 2)
    return pd.MultiIndex.from_arrays([ci, ci.codes + 9, dti], names=["a", "b", "dti"])

@pytest.fixture
def wide_multi_index():
    """
    Return a MultiIndex that is wider than the display (>80 characters).
    """
    n = 1000
    ci = pd.CategoricalIndex(list("a" * n) + (["abc"] * n))
    dti = pd.date_range("2000-01-01", freq="s", periods=n * 2)
    levels = [ci, ci.codes + 9, dti, dti, dti]
    names = ["a", "b", "dti_1", "dti_2", "dti_3"]
    return pd.MultiIndex.from_arrays(levels, names=names)

import numpy as np import pytest import pandas as pd from pandas import Index, MultiIndex @pytest.fixture def idx(): # a MultiIndex used to test the general functionality of the # general functionality of this object major_axis = Index(["foo", "bar", "baz", "qux"]) minor_axis = Index(["one", "two"]) major_codes = np.array([0, 0, 1, 2, 3, 3]) minor_codes = np.array([0, 1, 0, 1, 0, 1]) index_names = ["first", "second"] mi = MultiIndex( levels=[major_axis, minor_axis], codes=[major_codes, minor_codes], names=index_names, verify_integrity=False, ) return mi @pytest.fixture def idx_dup(): # compare tests/indexes/multi/conftest.py major_axis = Index(["foo", "bar", "baz", "qux"]) minor_axis = Index(["one", "two"]) major_codes = np.array([0, 0, 1, 0, 1, 1]) minor_codes = np.array([0, 1, 0, 1, 0, 1]) index_names = ["first", "second"] mi = MultiIndex( levels=[major_axis, minor_axis], codes=[major_codes, minor_codes], names=index_names, verify_integrity=False, ) return mi @pytest.fixture def index_names(): # names that match those in the idx fixture for testing equality of # names assigned to the idx return ["first", "second"] @pytest.fixture def compat_props(): # a MultiIndex must have these properties associated with it return ["shape", "ndim", "size"] @pytest.fixture def narrow_multi_index(): """ Return a MultiIndex that is narrower than the display (<80 characters). """ n = 1000 ci = pd.CategoricalIndex(list("a" * n) + (["abc"] * n)) dti = pd.date_range("2000-01-01", freq="s", periods=n * 2) return pd.MultiIndex.from_arrays([ci, ci.codes + 9, dti], names=["a", "b", "dti"]) @pytest.fixture def wide_multi_index(): """ Return a MultiIndex that is wider than the display (>80 characters). """ n = 1000 ci = pd.CategoricalIndex(list("a" * n) + (["abc"] * n)) dti = pd.date_range("2000-01-01", freq="s", periods=n * 2) levels = [ci, ci.codes + 9, dti, dti, dti] names = ["a", "b", "dti_1", "dti_2", "dti_3"] return pd.MultiIndex.from_arrays(levels, names=names)