def test_create_loaddata_ix():
"""cptools2.loaddata.create_loaddata(img_list)"""
output = loaddata.create_loaddata(IMG_LIST_IX, microscope="imagexpress")
# make our own
long_df = loaddata.create_long_loaddata(IMG_LIST_IX, microscope="imagexpress")
wide_df = loaddata.cast_dataframe(long_df)
assert output.equals(wide_df)
def test_cast_dataframe_ix():
"""cptools2.loaddata.cast_dataframe(dataframe)"""
long_df = loaddata.create_long_loaddata(IMG_LIST_IX, microscope="imagexpress")
wide_df = loaddata.cast_dataframe(long_df)
assert isinstance(wide_df, pd.DataFrame)
# check we have a row per imageset
expected_rows = 60 * 6
assert wide_df.shape[0] == expected_rows
expected_cols = sorted(["Metadata_site",
"Metadata_row",
"Metadata_column",
"Metadata_z",
"Metadata_well",
"Metadata_plate",
"FileName_W1",
"FileName_W2",
"FileName_W3",
"FileName_W4",
"FileName_W5",
"PathName_W1",
"PathName_W2",
"PathName_W3",
"PathName_W4",
"PathName_W5"])
assert sorted(wide_df.columns.tolist()) == expected_cols
def test_case_dataframe_yoko():
"""cptools2.loaddata.create_loaddata(img_list)"""
output = loaddata.create_loaddata(IMG_LIST_YOKO, microscope="yokogawa")
# make our own
long_df = loaddata.create_long_loaddata(IMG_LIST_YOKO, microscope="yokogawa")
wide_df = loaddata.cast_dataframe(long_df)
assert output.equals(wide_df)
def test_cast_dataframe_yoko():
"""cptools2.loaddata.cast_dataframe(dataframe)"""
long_df = loaddata.create_long_loaddata(IMG_LIST_YOKO, microscope="yokogawa")
wide_df = loaddata.cast_dataframe(long_df)
assert isinstance(wide_df, pd.DataFrame)
# check we have a row per imageset
# FIXME: check how many rows we expect for the yokogawa plate
expected_rows = 240 * 9
assert wide_df.shape[0] == expected_rows
def test_cast_dataframe_yoko2():
"""cptools2.loaddata.cast_dataframe(dataframe)"""
long_df = loaddata.create_long_loaddata(IMG_LIST_YOKO, microscope="yokogawa")
wide_df = loaddata.cast_dataframe(long_df)
expected_cols = sorted(["Metadata_site",
"Metadata_row",
"Metadata_column",
"Metadata_z",
"Metadata_well",
"Metadata_plate",
"FileName_W1",
"FileName_W3",
"FileName_W4",
"PathName_W1",
"PathName_W3",
"PathName_W4"])
assert sorted(wide_df.columns.tolist()) == expected_cols
def test_create_long_loaddata_yoko():
"""cptool2.loaddata.create_long_loaddata(img_list)"""
long_df = loaddata.create_long_loaddata(IMG_LIST_YOKO, microscope="yokogawa")
assert isinstance(long_df, pd.DataFrame)
assert long_df.shape[0] == len(IMG_LIST_YOKO)
def test_create_long_loaddata_ix():
"""cptool2.loaddata.create_long_loaddata(img_list)"""
long_df = loaddata.create_long_loaddata(IMG_LIST_IX, microscope="imagexpress")
assert isinstance(long_df, pd.DataFrame)
assert long_df.shape[0] == len(IMG_LIST_IX)