def test_excel_cell_error_na(self):
_skip_if_no_xlrd()
excel_data = ExcelFile(os.path.join(self.dirpath, 'test3.xls'))
parsed = excel_data.parse('Sheet1')
expected = DataFrame([[np.nan]], columns=['Test'])
tm.assert_frame_equal(parsed, expected)
def test_sheets(self):
_skip_if_no_xlrd()
ext = self.ext
path = '__tmp_to_excel_from_excel_sheets__.' + ext
with ensure_clean(path) as path:
self.frame['A'][:5] = nan
self.frame.to_excel(path, 'test1')
self.frame.to_excel(path, 'test1', cols=['A', 'B'])
self.frame.to_excel(path, 'test1', header=False)
self.frame.to_excel(path, 'test1', index=False)
# Test writing to separate sheets
writer = ExcelWriter(path)
self.frame.to_excel(writer, 'test1')
self.tsframe.to_excel(writer, 'test2')
writer.save()
reader = ExcelFile(path)
recons = reader.parse('test1', index_col=0)
tm.assert_frame_equal(self.frame, recons)
recons = reader.parse('test2', index_col=0)
tm.assert_frame_equal(self.tsframe, recons)
np.testing.assert_equal(2, len(reader.sheet_names))
np.testing.assert_equal('test1', reader.sheet_names[0])
np.testing.assert_equal('test2', reader.sheet_names[1])
def test_excel_stop_iterator(self):
_skip_if_no_xlrd()
excel_data = ExcelFile(os.path.join(self.dirpath, "test2.xls"))
parsed = excel_data.parse("Sheet1")
expected = DataFrame([["aaaa", "bbbbb"]], columns=["Test", "Test1"])
tm.assert_frame_equal(parsed, expected)
def test_to_excel_unicode_filename(self):
_skip_if_no_xlrd()
ext = self.ext
filename = u('\u0192u.') + ext
try:
f = open(filename, 'wb')
except UnicodeEncodeError:
raise nose.SkipTest('no unicode file names on this system')
else:
f.close()
df = DataFrame([[0.123456, 0.234567, 0.567567],
[12.32112, 123123.2, 321321.2]],
index=['A', 'B'], columns=['X', 'Y', 'Z'])
with ensure_clean(filename) as filename:
df.to_excel(filename, 'test1', float_format='%.2f')
reader = ExcelFile(filename)
rs = reader.parse('test1', index_col=None)
xp = DataFrame([[0.12, 0.23, 0.57],
[12.32, 123123.20, 321321.20]],
index=['A', 'B'], columns=['X', 'Y', 'Z'])
tm.assert_frame_equal(rs, xp)
def test_to_excel_multiindex_dates(self):
_skip_if_no_xlrd()
ext = self.ext
path = '__tmp_to_excel_multiindex_dates__' + ext + '__.' + ext
# try multiindex with dates
tsframe = self.tsframe
old_index = tsframe.index
new_index = [old_index, np.arange(len(old_index))]
tsframe.index = MultiIndex.from_arrays(new_index)
with ensure_clean(path) as path:
tsframe.to_excel(path, 'test1', index_label=['time', 'foo'])
reader = ExcelFile(path)
recons = reader.parse('test1', index_col=[0, 1])
tm.assert_frame_equal(tsframe, recons, check_names=False)
self.assertEquals(recons.index.names, ('time', 'foo'))
# infer index
tsframe.to_excel(path, 'test1')
reader = ExcelFile(path)
recons = reader.parse('test1')
tm.assert_frame_equal(tsframe, recons)
self.tsframe.index = old_index # needed if setUP becomes classmethod
def test_to_excel_unicode_filename(self):
_skip_if_no_excelsuite()
for ext in ["xls", "xlsx"]:
filename = u"\u0192u." + ext
try:
f = open(filename, "wb")
except UnicodeEncodeError:
raise nose.SkipTest("no unicode file names on this system")
else:
f.close()
df = DataFrame(
[[0.123456, 0.234567, 0.567567], [12.32112, 123123.2, 321321.2]],
index=["A", "B"],
columns=["X", "Y", "Z"],
)
with ensure_clean(filename) as filename:
df.to_excel(filename, "test1", float_format="%.2f")
reader = ExcelFile(filename)
rs = reader.parse("test1", index_col=None)
xp = DataFrame(
[[0.12, 0.23, 0.57], [12.32, 123123.20, 321321.20]], index=["A", "B"], columns=["X", "Y", "Z"]
)
tm.assert_frame_equal(rs, xp)
def test_excel_table_sheet_by_index(self, read_ext, df_ref):
excel = ExcelFile('test1' + read_ext)
df1 = pd.read_excel(excel, 0, index_col=0)
df2 = pd.read_excel(excel, 1, skiprows=[1], index_col=0)
tm.assert_frame_equal(df1, df_ref, check_names=False)
tm.assert_frame_equal(df2, df_ref, check_names=False)
df1 = excel.parse(0, index_col=0)
df2 = excel.parse(1, skiprows=[1], index_col=0)
tm.assert_frame_equal(df1, df_ref, check_names=False)
tm.assert_frame_equal(df2, df_ref, check_names=False)
df3 = pd.read_excel(excel, 0, index_col=0, skipfooter=1)
tm.assert_frame_equal(df3, df1.iloc[:-1])
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
df4 = pd.read_excel(excel, 0, index_col=0, skip_footer=1)
tm.assert_frame_equal(df3, df4)
df3 = excel.parse(0, index_col=0, skipfooter=1)
tm.assert_frame_equal(df3, df1.iloc[:-1])
import xlrd # will move to engine-specific tests as new ones are added
with pytest.raises(xlrd.XLRDError):
pd.read_excel(excel, 'asdf')
def test_excel_stop_iterator(self):
_skip_if_no_xlrd()
excel_data = ExcelFile(os.path.join(self.dirpath, 'test2.xls'))
parsed = excel_data.parse('Sheet1')
expected = DataFrame([['aaaa', 'bbbbb']], columns=['Test', 'Test1'])
tm.assert_frame_equal(parsed, expected)
def _check_extension_mixed(self, ext):
path = "__tmp_to_excel_from_excel_mixed__." + ext
with ensure_clean(path) as path:
self.mixed_frame.to_excel(path, "test1")
reader = ExcelFile(path)
recons = reader.parse("test1", index_col=0)
tm.assert_frame_equal(self.mixed_frame, recons)
def test_mixed(self):
_skip_if_no_xlrd()
with ensure_clean(self.ext) as path:
self.mixed_frame.to_excel(path, 'test1')
reader = ExcelFile(path)
recons = reader.parse('test1', index_col=0)
tm.assert_frame_equal(self.mixed_frame, recons)
def test_inf_roundtrip(self):
_skip_if_no_xlrd()
frame = DataFrame([(1, np.inf), (2, 3), (5, -np.inf)])
with ensure_clean(self.ext) as path:
frame.to_excel(path, 'test1')
reader = ExcelFile(path)
recons = reader.parse('test1')
tm.assert_frame_equal(frame, recons)
def _check_extension_tsframe(self, ext):
path = "__tmp_to_excel_from_excel_tsframe__." + ext
df = tm.makeTimeDataFrame()[:5]
with ensure_clean(path) as path:
df.to_excel(path, "test1")
reader = ExcelFile(path)
recons = reader.parse("test1")
tm.assert_frame_equal(df, recons)
def test_tsframe(self):
_skip_if_no_xlrd()
df = tm.makeTimeDataFrame()[:5]
with ensure_clean(self.ext) as path:
df.to_excel(path, 'test1')
reader = ExcelFile(path)
recons = reader.parse('test1')
tm.assert_frame_equal(df, recons)
class ExcelExtractor(Extractor):
'''
An extractor for excel files.
One sheet only for now.
Expects column names in first row, rest of rows mapped 1:1 to incoming table rows.
Unique identifier (or unique for domain) in first column.
'''
def __init__(self, incoming_table_class, file_name):
'''
Constructor
'''
self._incoming_table_class = incoming_table_class
self.file_name = file_name
self.workbook = ExcelFile(os.path.join(conf.INPUT_DIR, file_name))
super(ExcelExtractor, self).__init__(self._incoming_table_class)
def _get_workbook_rowdicts(self):
'''
returns list of key-value dicts for all rows in sheet, with keys in first row. empty values are removed.
'''
rows = self.workbook.parse().to_dict(outtype='records')
rows_ret = list()
for row in rows:
ret = dict((k, v) for k, v in row.iteritems() if notnull(v))
rows_ret.append(ret)
return rows_ret
def _get_workbook_keys(self):
'''
returns list of key-value dicts from keys in first row
'''
return self.workbook.parse().to_dict().keys()
def do_extract(self):
db_col_keys = [k for k in self._get_workbook_keys() if k in self._get_db_cols]
hstore_keys = [h for h in self._get_workbook_keys() if h not in self._get_db_cols]
for row in self._get_workbook_rowdicts():
db_col_dict = dict((k, v) for k, v in row.iteritems() if k in db_col_keys)
hstore_col_dict = dict((k, unicode(v)) for k, v in row.iteritems() if k in hstore_keys)
insert_dict = db_col_dict
insert_dict[self._get_hstore_db_col] = hstore_col_dict
self._incoming_table_class.create(**insert_dict)
def do_cleanup(self):
delete_q = self._incoming_table_class.delete()
rows = delete_q.execute()
logger.info('Deleted %d records in incoming data table %s' % (rows, self._incoming_table_class._meta.db_table))
def test_excel_passes_na(self):
_skip_if_no_xlrd()
excel_data = ExcelFile(os.path.join(self.dirpath, "test2.xlsx"))
parsed = excel_data.parse("Sheet1", keep_default_na=False, na_values=["apple"])
expected = DataFrame([["NA"], [1], ["NA"], [np.nan], ["rabbit"]], columns=["Test"])
tm.assert_frame_equal(parsed, expected)
parsed = excel_data.parse("Sheet1", keep_default_na=True, na_values=["apple"])
expected = DataFrame([[np.nan], [1], [np.nan], [np.nan], ["rabbit"]], columns=["Test"])
tm.assert_frame_equal(parsed, expected)
def test_sheet_name(self, read_ext, df_ref):
filename = "test1"
sheet_name = "Sheet1"
excel = ExcelFile(filename + read_ext)
df1_parse = excel.parse(sheet_name=sheet_name, index_col=0) # doc
df2_parse = excel.parse(index_col=0,
sheet_name=sheet_name)
tm.assert_frame_equal(df1_parse, df_ref, check_names=False)
tm.assert_frame_equal(df2_parse, df_ref, check_names=False)
def test_float_types(self):
_skip_if_no_xlrd()
for np_type in (np.float16, np.float32, np.float64):
with ensure_clean(self.ext) as path:
# Test np.float values read come back as float.
frame = DataFrame(np.random.random_sample(10), dtype=np_type)
frame.to_excel(path, 'test1')
reader = ExcelFile(path)
recons = reader.parse('test1').astype(np_type)
tm.assert_frame_equal(frame, recons, check_dtype=False)
def test_bool_types(self):
_skip_if_no_xlrd()
for np_type in (np.bool8, np.bool_):
with ensure_clean(self.ext) as path:
# Test np.bool values read come back as float.
frame = (DataFrame([1, 0, True, False], dtype=np_type))
frame.to_excel(path, 'test1')
reader = ExcelFile(path)
recons = reader.parse('test1').astype(np_type)
tm.assert_frame_equal(frame, recons)
def test_to_excel_periodindex(self):
_skip_if_no_xlrd()
frame = self.tsframe
xp = frame.resample('M', kind='period')
with ensure_clean(self.ext) as path:
xp.to_excel(path, 'sht1')
reader = ExcelFile(path)
rs = reader.parse('sht1', index_col=0, parse_dates=True)
tm.assert_frame_equal(xp, rs.to_period('M'))
def check_excel_sheet_by_name_raise(self, ext):
import xlrd
pth = os.path.join(self.dirpath, 'testit.{0}'.format(ext))
with ensure_clean(pth) as pth:
gt = DataFrame(np.random.randn(10, 2))
gt.to_excel(pth)
xl = ExcelFile(pth)
df = xl.parse(0)
tm.assert_frame_equal(gt, df)
self.assertRaises(xlrd.XLRDError, xl.parse, '0')
def test_excel_sheet_by_name_raise(self):
_skip_if_no_xlrd()
import xlrd
with ensure_clean(self.ext) as pth:
gt = DataFrame(np.random.randn(10, 2))
gt.to_excel(pth)
xl = ExcelFile(pth)
df = xl.parse(0)
tm.assert_frame_equal(gt, df)
self.assertRaises(xlrd.XLRDError, xl.parse, '0')
def test_excel_roundtrip_datetime(self):
_skip_if_no_xlrd()
# datetime.date, not sure what to test here exactly
tsf = self.tsframe.copy()
with ensure_clean(self.ext) as path:
tsf.index = [x.date() for x in self.tsframe.index]
tsf.to_excel(path, 'test1', merge_cells=self.merge_cells)
reader = ExcelFile(path)
recons = reader.parse('test1')
tm.assert_frame_equal(self.tsframe, recons)
def test_stringio_writer(self):
_skip_if_no_xlsxwriter()
_skip_if_no_xlrd()
path = BytesIO()
with ExcelWriter(path, engine='xlsxwriter', **{'options': {'in-memory': True}}) as ew:
self.frame.to_excel(ew, 'test1', engine='xlsxwriter')
ew.save()
path.seek(0)
ef = ExcelFile(path)
found_df = ef.parse('test1')
tm.assert_frame_equal(self.frame, found_df)
path.close()
def test_excel_read_buffer(self):
_skip_if_no_xlrd()
_skip_if_no_openpyxl()
pth = os.path.join(self.dirpath, "test.xls")
f = open(pth, "rb")
xls = ExcelFile(f)
# it works
xls.parse("Sheet1", index_col=0, parse_dates=True)
pth = os.path.join(self.dirpath, "test.xlsx")
f = open(pth, "rb")
xl = ExcelFile(f)
df = xl.parse("Sheet1", index_col=0, parse_dates=True)
def test_to_excel_periodindex(self):
_skip_if_no_excelsuite()
for ext in ["xls", "xlsx"]:
path = "__tmp_to_excel_periodindex__." + ext
frame = self.tsframe
xp = frame.resample("M", kind="period")
with ensure_clean(path) as path:
xp.to_excel(path, "sht1")
reader = ExcelFile(path)
rs = reader.parse("sht1", index_col=0, parse_dates=True)
tm.assert_frame_equal(xp, rs.to_period("M"))
def test_excel_roundtrip_indexname(self):
_skip_if_no_xlrd()
df = DataFrame(np.random.randn(10, 4))
df.index.name = 'foo'
with ensure_clean(self.ext) as path:
df.to_excel(path)
xf = ExcelFile(path)
result = xf.parse(xf.sheet_names[0], index_col=0)
tm.assert_frame_equal(result, df)
self.assertEqual(result.index.name, 'foo')
def test_to_excel_periodindex(self):
_skip_if_no_excelsuite()
for ext in ['xls', 'xlsx']:
path = '__tmp_to_excel_periodindex__.' + ext
frame = self.tsframe
xp = frame.resample('M', kind='period')
with ensure_clean(path) as path:
xp.to_excel(path, 'sht1')
reader = ExcelFile(path)
rs = reader.parse('sht1', index_col=0, parse_dates=True)
tm.assert_frame_equal(xp, rs.to_period('M'))
def test_excel_roundtrip_datetime(self):
_skip_if_no_xlrd()
_skip_if_no_xlwt()
# datetime.date, not sure what to test here exactly
path = "__tmp_excel_roundtrip_datetime__.xls"
tsf = self.tsframe.copy()
with ensure_clean(path) as path:
tsf.index = [x.date() for x in self.tsframe.index]
tsf.to_excel(path, "test1")
reader = ExcelFile(path)
recons = reader.parse("test1")
tm.assert_frame_equal(self.tsframe, recons)
def test_parse_cols_int(self):
_skip_if_no_openpyxl()
_skip_if_no_xlrd()
suffix = ["", "x"]
for s in suffix:
pth = os.path.join(self.dirpath, "test.xls%s" % s)
xls = ExcelFile(pth)
df = xls.parse("Sheet1", index_col=0, parse_dates=True, parse_cols=3)
df2 = self.read_csv(self.csv1, index_col=0, parse_dates=True)
df2 = df2.reindex(columns=["A", "B", "C"])
df3 = xls.parse("Sheet2", skiprows=[1], index_col=0, parse_dates=True, parse_cols=3)
tm.assert_frame_equal(df, df2, check_names=False) # TODO add index to xls file)
tm.assert_frame_equal(df3, df2, check_names=False)
def test_excel_passes_na(self):
_skip_if_no_xlrd()
excel_data = ExcelFile(os.path.join(self.dirpath, 'test2.xlsx'))
parsed = excel_data.parse('Sheet1', keep_default_na=False,
na_values=['apple'])
expected = DataFrame([['NA'], [1], ['NA'], [np.nan], ['rabbit']],
columns=['Test'])
tm.assert_frame_equal(parsed, expected)
parsed = excel_data.parse('Sheet1', keep_default_na=True,
na_values=['apple'])
expected = DataFrame([[np.nan], [1], [np.nan], [np.nan], ['rabbit']],
columns=['Test'])
tm.assert_frame_equal(parsed, expected)
def test_float_types(self):
_skip_if_no_xlrd()
ext = self.ext
path = '__tmp_to_excel_from_excel_float_types__.' + ext
for np_type in (np.float16, np.float32, np.float64):
with ensure_clean(path) as path:
self.frame['A'][:5] = nan
self.frame.to_excel(path, 'test1')
self.frame.to_excel(path, 'test1', cols=['A', 'B'])
self.frame.to_excel(path, 'test1', header=False)
self.frame.to_excel(path, 'test1', index=False)
# Test np.float values read come back as float.
frame = DataFrame(np.random.random_sample(10), dtype=np_type)
frame.to_excel(path, 'test1')
reader = ExcelFile(path)
recons = reader.parse('test1').astype(np_type)
tm.assert_frame_equal(frame, recons, check_dtype=False)
def test_bool_types(self):
_skip_if_no_xlrd()
ext = self.ext
path = '__tmp_to_excel_from_excel_bool_types__.' + ext
for np_type in (np.bool8, np.bool_):
with ensure_clean(path) as path:
self.frame['A'][:5] = nan
self.frame.to_excel(path, 'test1')
self.frame.to_excel(path, 'test1', cols=['A', 'B'])
self.frame.to_excel(path, 'test1', header=False)
self.frame.to_excel(path, 'test1', index=False)
# Test np.bool values read come back as float.
frame = (DataFrame([1, 0, True, False], dtype=np_type))
frame.to_excel(path, 'test1')
reader = ExcelFile(path)
recons = reader.parse('test1').astype(np_type)
tm.assert_frame_equal(frame, recons)
def test_ts_frame(self, tsframe, path):
df = tsframe
# freq doesn't round-trip
index = pd.DatetimeIndex(np.asarray(df.index), freq=None)
df.index = index
df.to_excel(path, "test1")
with ExcelFile(path) as reader:
recons = pd.read_excel(reader, sheet_name="test1", index_col=0)
tm.assert_frame_equal(df, recons)
def test_float_types(self, np_type, path):
# Test np.float values read come back as float.
df = DataFrame(np.random.random_sample(10), dtype=np_type)
df.to_excel(path, "test1")
with ExcelFile(path) as reader:
recons = pd.read_excel(reader, sheet_name="test1", index_col=0).astype(
np_type
)
tm.assert_frame_equal(df, recons)
def _check_excel_multiindex(self, ext):
path = '__tmp_to_excel_multiindex__' + ext + '__.' + ext
frame = self.frame
old_index = frame.index
arrays = np.arange(len(old_index) * 2).reshape(2, -1)
new_index = MultiIndex.from_arrays(arrays, names=['first', 'second'])
frame.index = new_index
with ensure_clean(path) as path:
frame.to_excel(path, 'test1', header=False)
frame.to_excel(path, 'test1', cols=['A', 'B'])
# round trip
frame.to_excel(path, 'test1')
reader = ExcelFile(path)
df = reader.parse('test1', index_col=[0, 1], parse_dates=False)
tm.assert_frame_equal(frame, df)
self.assertEqual(frame.index.names, df.index.names)
self.frame.index = old_index # needed if setUP becomes a classmethod
def test_excel_roundtrip_indexname(self, merge_cells, path):
df = DataFrame(np.random.randn(10, 4))
df.index.name = "foo"
df.to_excel(path, merge_cells=merge_cells)
xf = ExcelFile(path)
result = pd.read_excel(xf, xf.sheet_names[0], index_col=0)
tm.assert_frame_equal(result, df)
assert result.index.name == "foo"
def test_excel_roundtrip_datetime(self, merge_cells, tsframe, path):
# datetime.date, not sure what to test here exactly
tsf = tsframe.copy()
tsf.index = [x.date() for x in tsframe.index]
tsf.to_excel(path, "test1", merge_cells=merge_cells)
reader = ExcelFile(path)
recons = pd.read_excel(reader, "test1", index_col=0)
tm.assert_frame_equal(tsframe, recons)
def test_bool_types(self, np_type, path):
# Test np.bool8 and np.bool_ values read come back as float.
df = DataFrame([1, 0, True, False], dtype=np_type)
df.to_excel(path, "test1")
with ExcelFile(path) as reader:
recons = pd.read_excel(reader, sheet_name="test1", index_col=0).astype(
np_type
)
tm.assert_frame_equal(df, recons)
def test_reader_closes_file(self):
_skip_if_no_xlrd()
_skip_if_no_openpyxl()
pth = os.path.join(self.dirpath, 'test.xlsx')
f = open(pth, 'rb')
with ExcelFile(f) as xlsx:
# parses okay
df = xlsx.parse('Sheet1', index_col=0)
self.assertTrue(f.closed)
def test_to_excel_multiindex(self):
_skip_if_no_xlrd()
frame = self.frame
arrays = np.arange(len(frame.index) * 2).reshape(2, -1)
new_index = MultiIndex.from_arrays(arrays, names=['first', 'second'])
frame.index = new_index
with ensure_clean(self.ext) as path:
frame.to_excel(path, 'test1', header=False)
frame.to_excel(path, 'test1', cols=['A', 'B'])
# round trip
frame.to_excel(path, 'test1', merge_cells=self.merge_cells)
reader = ExcelFile(path)
df = reader.parse('test1',
index_col=[0, 1],
parse_dates=False,
has_index_names=self.merge_cells)
tm.assert_frame_equal(frame, df)
self.assertEqual(frame.index.names, df.index.names)
def test_excel_sheet_by_name_raise(self, path, engine):
gt = DataFrame(np.random.randn(10, 2))
gt.to_excel(path)
with ExcelFile(path) as xl:
df = pd.read_excel(xl, sheet_name=0, index_col=0)
tm.assert_frame_equal(gt, df)
msg = "Worksheet named '0' not found"
with pytest.raises(ValueError, match=msg):
pd.read_excel(xl, "0")
def test_to_excel_multiindex_dates(self, merge_cells, tsframe, path):
# try multiindex with dates
new_index = [tsframe.index, np.arange(len(tsframe.index))]
tsframe.index = MultiIndex.from_arrays(new_index)
tsframe.index.names = ["time", "foo"]
tsframe.to_excel(path, "test1", merge_cells=merge_cells)
reader = ExcelFile(path)
recons = pd.read_excel(reader, "test1", index_col=[0, 1])
tm.assert_frame_equal(tsframe, recons)
assert recons.index.names == ("time", "foo")
def test_to_excel_empty_multiindex(self, path):
# GH 19543.
expected = DataFrame([], columns=[0, 1, 2])
df = DataFrame([], index=MultiIndex.from_tuples([], names=[0, 1]), columns=[2])
df.to_excel(path, "test1")
with ExcelFile(path) as reader:
result = pd.read_excel(reader, sheet_name="test1")
tm.assert_frame_equal(
result, expected, check_index_type=False, check_dtype=False
)
def test_colaliases(self):
_skip_if_no_xlrd()
ext = self.ext
path = '__tmp_to_excel_from_excel_aliases__.' + ext
with ensure_clean(path) as path:
self.frame['A'][:5] = nan
self.frame.to_excel(path, 'test1')
self.frame.to_excel(path, 'test1', cols=['A', 'B'])
self.frame.to_excel(path, 'test1', header=False)
self.frame.to_excel(path, 'test1', index=False)
# column aliases
col_aliases = Index(['AA', 'X', 'Y', 'Z'])
self.frame2.to_excel(path, 'test1', header=col_aliases)
reader = ExcelFile(path)
rs = reader.parse('test1', index_col=0)
xp = self.frame2.copy()
xp.columns = col_aliases
tm.assert_frame_equal(xp, rs)
def test_excel_read_buffer(self):
_skip_if_no_xlrd()
_skip_if_no_openpyxl()
pth = os.path.join(self.dirpath, 'test.xls')
f = open(pth, 'rb')
xls = ExcelFile(f)
# it works
xls.parse('Sheet1', index_col=0, parse_dates=True)
pth = os.path.join(self.dirpath, 'test.xlsx')
f = open(pth, 'rb')
xl = ExcelFile(f)
xl.parse('Sheet1', index_col=0, parse_dates=True)
def test_to_excel_multiindex_dates(self):
_skip_if_no_xlrd()
ext = self.ext
path = '__tmp_to_excel_multiindex_dates__' + ext + '__.' + ext
# try multiindex with dates
tsframe = self.tsframe
old_index = tsframe.index
new_index = [old_index, np.arange(len(old_index))]
tsframe.index = MultiIndex.from_arrays(new_index)
with ensure_clean(path) as path:
tsframe.to_excel(path, 'test1', index_label=['time', 'foo'])
reader = ExcelFile(path)
recons = reader.parse('test1', index_col=[0, 1])
tm.assert_frame_equal(tsframe, recons, check_names=False)
self.assertEquals(recons.index.names, ('time', 'foo'))
# infer index
tsframe.to_excel(path, 'test1')
reader = ExcelFile(path)
recons = reader.parse('test1')
tm.assert_frame_equal(tsframe, recons)
self.tsframe.index = old_index # needed if setUP becomes classmethod
def test_to_excel_multiindex(self, merge_cells, engine, ext, frame):
arrays = np.arange(len(frame.index) * 2).reshape(2, -1)
new_index = MultiIndex.from_arrays(arrays, names=['first', 'second'])
frame.index = new_index
frame.to_excel(self.path, 'test1', header=False)
frame.to_excel(self.path, 'test1', columns=['A', 'B'])
# round trip
frame.to_excel(self.path, 'test1', merge_cells=merge_cells)
reader = ExcelFile(self.path)
df = pd.read_excel(reader, 'test1', index_col=[0, 1])
tm.assert_frame_equal(frame, df)
def test_int_types(self):
_skip_if_no_xlrd()
for np_type in (np.int8, np.int16, np.int32, np.int64):
with ensure_clean(self.ext) as path:
# Test np.int values read come back as int (rather than float
# which is Excel's format).
frame = DataFrame(np.random.randint(-10, 10, size=(10, 2)),
dtype=np_type)
frame.to_excel(path, 'test1')
reader = ExcelFile(path)
recons = reader.parse('test1')
int_frame = frame.astype(int)
tm.assert_frame_equal(int_frame, recons)
recons2 = read_excel(path, 'test1')
tm.assert_frame_equal(int_frame, recons2)
# test with convert_float=False comes back as float
float_frame = frame.astype(float)
recons = read_excel(path, 'test1', convert_float=False)
tm.assert_frame_equal(recons, float_frame)
def test_excelwriter_contextmanager(self):
_skip_if_no_xlrd()
with ensure_clean(self.ext) as pth:
with ExcelWriter(pth) as writer:
self.frame.to_excel(writer, 'Data1')
self.frame2.to_excel(writer, 'Data2')
with ExcelFile(pth) as reader:
found_df = reader.parse('Data1')
found_df2 = reader.parse('Data2')
tm.assert_frame_equal(found_df, self.frame)
tm.assert_frame_equal(found_df2, self.frame2)
def test_to_excel_multiindex(self, merge_cells, frame, path):
arrays = np.arange(len(frame.index) * 2).reshape(2, -1)
new_index = MultiIndex.from_arrays(arrays, names=["first", "second"])
frame.index = new_index
frame.to_excel(path, "test1", header=False)
frame.to_excel(path, "test1", columns=["A", "B"])
# round trip
frame.to_excel(path, "test1", merge_cells=merge_cells)
reader = ExcelFile(path)
df = pd.read_excel(reader, "test1", index_col=[0, 1])
tm.assert_frame_equal(frame, df)
def test_excel_writer_context_manager(self, frame, path):
with ExcelWriter(path) as writer:
frame.to_excel(writer, "Data1")
frame2 = frame.copy()
frame2.columns = frame.columns[::-1]
frame2.to_excel(writer, "Data2")
with ExcelFile(path) as reader:
found_df = pd.read_excel(reader, "Data1", index_col=0)
found_df2 = pd.read_excel(reader, "Data2", index_col=0)
tm.assert_frame_equal(found_df, frame)
tm.assert_frame_equal(found_df2, frame2)
def test_excel_sheet_by_name_raise(self, path):
import xlrd
gt = DataFrame(np.random.randn(10, 2))
gt.to_excel(path)
xl = ExcelFile(path)
df = pd.read_excel(xl, 0, index_col=0)
tm.assert_frame_equal(gt, df)
with pytest.raises(xlrd.XLRDError):
pd.read_excel(xl, "0")
def test_to_excel_multiindex_dates(self, merge_cells, engine, ext,
tsframe):
# try multiindex with dates
new_index = [tsframe.index, np.arange(len(tsframe.index))]
tsframe.index = MultiIndex.from_arrays(new_index)
tsframe.index.names = ['time', 'foo']
tsframe.to_excel(self.path, 'test1', merge_cells=merge_cells)
reader = ExcelFile(self.path)
recons = pd.read_excel(reader, 'test1', index_col=[0, 1])
tm.assert_frame_equal(tsframe, recons)
assert recons.index.names == ('time', 'foo')
def test_to_excel_unicode_filename(self):
_skip_if_no_xlrd()
with ensure_clean(u('\u0192u.') + self.ext) as filename:
try:
f = open(filename, 'wb')
except UnicodeEncodeError:
raise nose.SkipTest('no unicode file names on this system')
else:
f.close()
df = DataFrame([[0.123456, 0.234567, 0.567567],
[12.32112, 123123.2, 321321.2]],
index=['A', 'B'], columns=['X', 'Y', 'Z'])
df.to_excel(filename, 'test1', float_format='%.2f')
reader = ExcelFile(filename)
rs = reader.parse('test1', index_col=None)
xp = DataFrame([[0.12, 0.23, 0.57],
[12.32, 123123.20, 321321.20]],
index=['A', 'B'], columns=['X', 'Y', 'Z'])
tm.assert_frame_equal(rs, xp)
def test_to_excel_float_format(self, engine, ext):
df = DataFrame([[0.123456, 0.234567, 0.567567],
[12.32112, 123123.2, 321321.2]],
index=["A", "B"], columns=["X", "Y", "Z"])
df.to_excel(self.path, "test1", float_format="%.2f")
reader = ExcelFile(self.path)
result = pd.read_excel(reader, "test1", index_col=0)
expected = DataFrame([[0.12, 0.23, 0.57],
[12.32, 123123.20, 321321.20]],
index=["A", "B"], columns=["X", "Y", "Z"])
tm.assert_frame_equal(result, expected)
def test_excel_date_datetime_format(self, engine, ext):
# see gh-4133
#
# Excel output format strings
df = DataFrame([[date(2014, 1, 31),
date(1999, 9, 24)],
[datetime(1998, 5, 26, 23, 33, 4),
datetime(2014, 2, 28, 13, 5, 13)]],
index=["DATE", "DATETIME"], columns=["X", "Y"])
df_expected = DataFrame([[datetime(2014, 1, 31),
datetime(1999, 9, 24)],
[datetime(1998, 5, 26, 23, 33, 4),
datetime(2014, 2, 28, 13, 5, 13)]],
index=["DATE", "DATETIME"], columns=["X", "Y"])
with ensure_clean(ext) as filename2:
writer1 = ExcelWriter(self.path)
writer2 = ExcelWriter(filename2,
date_format="DD.MM.YYYY",
datetime_format="DD.MM.YYYY HH-MM-SS")
df.to_excel(writer1, "test1")
df.to_excel(writer2, "test1")
writer1.close()
writer2.close()
reader1 = ExcelFile(self.path)
reader2 = ExcelFile(filename2)
rs1 = pd.read_excel(reader1, "test1", index_col=0)
rs2 = pd.read_excel(reader2, "test1", index_col=0)
tm.assert_frame_equal(rs1, rs2)
# Since the reader returns a datetime object for dates,
# we need to use df_expected to check the result.
tm.assert_frame_equal(rs2, df_expected)
def test_excel_passes_na(self, read_ext):
excel = ExcelFile('test4' + read_ext)
parsed = pd.read_excel(excel,
'Sheet1',
keep_default_na=False,
na_values=['apple'])
expected = DataFrame([['NA'], [1], ['NA'], [np.nan], ['rabbit']],
columns=['Test'])
tm.assert_frame_equal(parsed, expected)
parsed = pd.read_excel(excel,
'Sheet1',
keep_default_na=True,
na_values=['apple'])
expected = DataFrame([[np.nan], [1], [np.nan], [np.nan], ['rabbit']],
columns=['Test'])
tm.assert_frame_equal(parsed, expected)
# 13967
excel = ExcelFile('test5' + read_ext)
parsed = pd.read_excel(excel,
'Sheet1',
keep_default_na=False,
na_values=['apple'])
expected = DataFrame([['1.#QNAN'], [1], ['nan'], [np.nan], ['rabbit']],
columns=['Test'])
tm.assert_frame_equal(parsed, expected)
parsed = pd.read_excel(excel,
'Sheet1',
keep_default_na=True,
na_values=['apple'])
expected = DataFrame([[np.nan], [1], [np.nan], [np.nan], ['rabbit']],
columns=['Test'])
tm.assert_frame_equal(parsed, expected)
def test_excel_file_warning_with_xlsx_file(datapath):
# GH 29375
path = datapath("io", "data", "excel", "test1.xlsx")
has_openpyxl = import_optional_dependency("openpyxl", errors="ignore") is not None
if not has_openpyxl:
with tm.assert_produces_warning(
FutureWarning,
raise_on_extra_warnings=False,
match="The xlrd engine is no longer maintained",
):
ExcelFile(path, engine=None)
else:
with tm.assert_produces_warning(None):
pd.read_excel(path, "Sheet1", engine=None)
def test_to_excel_interval_no_labels(self, path):
# see gh-19242
#
# Test writing Interval without labels.
df = DataFrame(np.random.randint(-10, 10, size=(20, 1)), dtype=np.int64)
expected = df.copy()
df["new"] = pd.cut(df[0], 10)
expected["new"] = pd.cut(expected[0], 10).astype(str)
df.to_excel(path, "test1")
with ExcelFile(path) as reader:
recons = pd.read_excel(reader, sheet_name="test1", index_col=0)
tm.assert_frame_equal(expected, recons)
def test_parse_cols_int(self):
_skip_if_no_openpyxl()
_skip_if_no_xlrd()
suffix = ['', 'x']
for s in suffix:
pth = os.path.join(self.dirpath, 'test.xls%s' % s)
xls = ExcelFile(pth)
df = xls.parse('Sheet1',
index_col=0,
parse_dates=True,
parse_cols=3)
df2 = self.read_csv(self.csv1, index_col=0, parse_dates=True)
df2 = df2.reindex(columns=['A', 'B', 'C'])
df3 = xls.parse('Sheet2',
skiprows=[1],
index_col=0,
parse_dates=True,
parse_cols=3)
# TODO add index to xls file)
tm.assert_frame_equal(df, df2, check_names=False)
tm.assert_frame_equal(df3, df2, check_names=False)
