FM / frame

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

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

Name	Size	Mode	Actions
apply/	-	0755	rm
methods/	-	0755	rm
__pycache__/	-	0755	rm
common.py	1119	0644	edit dl rm
conftest.py	8855	0644	edit dl rm
test_alter_axes.py	8801	0644	edit dl rm
test_analytics.py	46557	0644	edit dl rm
test_api.py	19589	0644	edit dl rm
test_arithmetic.py	54999	0644	edit dl rm
test_axis_select_reindex.py	18320	0644	edit dl rm
test_block_internals.py	23194	0644	edit dl rm
test_combine_concat.py	8607	0644	edit dl rm
test_constructors.py	100607	0644	edit dl rm
test_cumulative.py	4228	0644	edit dl rm
test_dtypes.py	11812	0644	edit dl rm
test_join.py	8779	0644	edit dl rm
test_missing.py	25616	0644	edit dl rm
test_nonunique_indexes.py	17501	0644	edit dl rm
test_operators.py	9068	0644	edit dl rm
test_period.py	1184	0644	edit dl rm
test_query_eval.py	47568	0644	edit dl rm
test_repr_info.py	6729	0644	edit dl rm
test_reshape.py	47482	0644	edit dl rm
test_sort_values_level_as_str.py	2550	0644	edit dl rm
test_subclass.py	23573	0644	edit dl rm
test_timeseries.py	2218	0644	edit dl rm
test_timezones.py	6158	0644	edit dl rm
test_to_csv.py	48182	0644	edit dl rm
test_validate.py	1095	0644	edit dl rm
__init__.py	0	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/pandas/tests/frame/common.py (1119B)

def _check_mixed_int(df, dtype=None):
    dtypes = dict(A="int32", B="uint64", C="uint8", D="int64")
    if isinstance(dtype, str):
        dtypes = {k: dtype for k, v in dtypes.items()}
    elif isinstance(dtype, dict):
        dtypes.update(dtype)
    if dtypes.get("A"):
        assert df.dtypes["A"] == dtypes["A"]
    if dtypes.get("B"):
        assert df.dtypes["B"] == dtypes["B"]
    if dtypes.get("C"):
        assert df.dtypes["C"] == dtypes["C"]
    if dtypes.get("D"):
        assert df.dtypes["D"] == dtypes["D"]

def _check_mixed_float(df, dtype=None): # float16 are most likely to be upcasted to float32 dtypes = dict(A="float32", B="float32", C="float16", D="float64") if isinstance(dtype, str): dtypes = {k: dtype for k, v in dtypes.items()} elif isinstance(dtype, dict): dtypes.update(dtype) if dtypes.get("A"): assert df.dtypes["A"] == dtypes["A"] if dtypes.get("B"): assert df.dtypes["B"] == dtypes["B"] if dtypes.get("C"): assert df.dtypes["C"] == dtypes["C"] if dtypes.get("D"): assert df.dtypes["D"] == dtypes["D"] def _check_mixed_int(df, dtype=None): dtypes = dict(A="int32", B="uint64", C="uint8", D="int64") if isinstance(dtype, str): dtypes = {k: dtype for k, v in dtypes.items()} elif isinstance(dtype, dict): dtypes.update(dtype) if dtypes.get("A"): assert df.dtypes["A"] == dtypes["A"] if dtypes.get("B"): assert df.dtypes["B"] == dtypes["B"] if dtypes.get("C"): assert df.dtypes["C"] == dtypes["C"] if dtypes.get("D"): assert df.dtypes["D"] == dtypes["D"]