Python pandas.read_excel方法代碼示例

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import read_excel [as 別名]
def test_to_excel_multiindex(self, merge_cells, engine, ext):
        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

        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 = read_excel(reader, 'test1', index_col=[0, 1])
        tm.assert_frame_equal(frame, df)

    # GH13511 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import read_excel [as 別名]
def get_exceldf(self, basename, ext, *args, **kwds):
        """
        Return test data DataFrame.

        Parameters
        ----------

        basename : str
            File base name, excluding file extension.

        Returns
        -------

        df : DataFrame
        """
        pth = os.path.join(self.dirpath, basename + ext)
        return read_excel(pth, *args, **kwds) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import read_excel [as 別名]
def test_set_column_names_in_parameter(self, ext):
        # GH 12870 : pass down column names associated with
        # keyword argument names
        refdf = pd.DataFrame([[1, 'foo'], [2, 'bar'],
                              [3, 'baz']], columns=['a', 'b'])

        with ensure_clean(ext) as pth:
            with ExcelWriter(pth) as writer:
                refdf.to_excel(writer, 'Data_no_head',
                               header=False, index=False)
                refdf.to_excel(writer, 'Data_with_head', index=False)

            refdf.columns = ['A', 'B']

            with ExcelFile(pth) as reader:
                xlsdf_no_head = read_excel(reader, 'Data_no_head',
                                           header=None, names=['A', 'B'])
                xlsdf_with_head = read_excel(reader, 'Data_with_head',
                                             index_col=None, names=['A', 'B'])

            tm.assert_frame_equal(xlsdf_no_head, refdf)
            tm.assert_frame_equal(xlsdf_with_head, refdf) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import read_excel [as 別名]
def test_creating_and_reading_multiple_sheets(self, ext):
        # see gh-9450
        #
        # Test reading multiple sheets, from a runtime
        # created Excel file with multiple sheets.
        def tdf(col_sheet_name):
            d, i = [11, 22, 33], [1, 2, 3]
            return DataFrame(d, i, columns=[col_sheet_name])

        sheets = ["AAA", "BBB", "CCC"]

        dfs = [tdf(s) for s in sheets]
        dfs = dict(zip(sheets, dfs))

        with ensure_clean(ext) as pth:
            with ExcelWriter(pth) as ew:
                for sheetname, df in iteritems(dfs):
                    df.to_excel(ew, sheetname)

            dfs_returned = read_excel(pth, sheet_name=sheets, index_col=0)

            for s in sheets:
                tm.assert_frame_equal(dfs[s], dfs_returned[s]) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import read_excel [as 別名]
def test_read_excel_parse_dates(self, ext):
        # see gh-11544, gh-12051
        df = DataFrame(
            {"col": [1, 2, 3],
             "date_strings": pd.date_range("2012-01-01", periods=3)})
        df2 = df.copy()
        df2["date_strings"] = df2["date_strings"].dt.strftime("%m/%d/%Y")

        with ensure_clean(ext) as pth:
            df2.to_excel(pth)

            res = read_excel(pth, index_col=0)
            tm.assert_frame_equal(df2, res)

            res = read_excel(pth, parse_dates=["date_strings"], index_col=0)
            tm.assert_frame_equal(df, res)

            date_parser = lambda x: pd.datetime.strptime(x, "%m/%d/%Y")
            res = read_excel(pth, parse_dates=["date_strings"],
                             date_parser=date_parser, index_col=0)
            tm.assert_frame_equal(df, res) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import read_excel [as 別名]
def test_read_excel_squeeze(self, ext):
        # GH 12157
        f = os.path.join(self.dirpath, 'test_squeeze' + ext)

        actual = pd.read_excel(f, 'two_columns', index_col=0, squeeze=True)
        expected = pd.Series([2, 3, 4], [4, 5, 6], name='b')
        expected.index.name = 'a'
        tm.assert_series_equal(actual, expected)

        actual = pd.read_excel(f, 'two_columns', squeeze=True)
        expected = pd.DataFrame({'a': [4, 5, 6],
                                 'b': [2, 3, 4]})
        tm.assert_frame_equal(actual, expected)

        actual = pd.read_excel(f, 'one_column', squeeze=True)
        expected = pd.Series([1, 2, 3], name='a')
        tm.assert_series_equal(actual, expected) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import read_excel [as 別名]
def test_read_xlrd_book(self, ext):
        import xlrd
        df = self.frame

        engine = "xlrd"
        sheet_name = "SheetA"

        with ensure_clean(ext) as pth:
            df.to_excel(pth, sheet_name)
            book = xlrd.open_workbook(pth)

            with ExcelFile(book, engine=engine) as xl:
                result = read_excel(xl, sheet_name, index_col=0)
                tm.assert_frame_equal(df, result)

            result = read_excel(book, sheet_name=sheet_name,
                                engine=engine, index_col=0)
            tm.assert_frame_equal(df, result) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import read_excel [as 別名]
def test_int_types(self, merge_cells, engine, ext, np_type):
        # 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(self.path, "test1")

        reader = ExcelFile(self.path)
        recons = read_excel(reader, "test1", index_col=0)

        int_frame = frame.astype(np.int64)
        tm.assert_frame_equal(int_frame, recons)

        recons2 = read_excel(self.path, "test1", index_col=0)
        tm.assert_frame_equal(int_frame, recons2)

        # Test with convert_float=False comes back as float.
        float_frame = frame.astype(float)
        recons = read_excel(self.path, "test1",
                            convert_float=False, index_col=0)
        tm.assert_frame_equal(recons, float_frame,
                              check_index_type=False,
                              check_column_type=False) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import read_excel [as 別名]
def test_sheets(self, merge_cells, engine, ext):
        self.frame['A'][:5] = nan

        self.frame.to_excel(self.path, 'test1')
        self.frame.to_excel(self.path, 'test1', columns=['A', 'B'])
        self.frame.to_excel(self.path, 'test1', header=False)
        self.frame.to_excel(self.path, 'test1', index=False)

        # Test writing to separate sheets
        writer = ExcelWriter(self.path)
        self.frame.to_excel(writer, 'test1')
        self.tsframe.to_excel(writer, 'test2')
        writer.save()
        reader = ExcelFile(self.path)
        recons = read_excel(reader, 'test1', index_col=0)
        tm.assert_frame_equal(self.frame, recons)
        recons = read_excel(reader, 'test2', index_col=0)
        tm.assert_frame_equal(self.tsframe, recons)
        assert 2 == len(reader.sheet_names)
        assert 'test1' == reader.sheet_names[0]
        assert 'test2' == reader.sheet_names[1] 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import read_excel [as 別名]
def test_colaliases(self, merge_cells, engine, ext):
        self.frame['A'][:5] = nan

        self.frame.to_excel(self.path, 'test1')
        self.frame.to_excel(self.path, 'test1', columns=['A', 'B'])
        self.frame.to_excel(self.path, 'test1', header=False)
        self.frame.to_excel(self.path, 'test1', index=False)

        # column aliases
        col_aliases = Index(['AA', 'X', 'Y', 'Z'])
        self.frame2.to_excel(self.path, 'test1', header=col_aliases)
        reader = ExcelFile(self.path)
        rs = read_excel(reader, 'test1', index_col=0)
        xp = self.frame2.copy()
        xp.columns = col_aliases
        tm.assert_frame_equal(xp, rs) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import read_excel [as 別名]
def test_to_excel_interval_no_labels(self, *_):
        # see gh-19242
        #
        # Test writing Interval without labels.
        frame = DataFrame(np.random.randint(-10, 10, size=(20, 1)),
                          dtype=np.int64)
        expected = frame.copy()

        frame["new"] = pd.cut(frame[0], 10)
        expected["new"] = pd.cut(expected[0], 10).astype(str)

        frame.to_excel(self.path, "test1")
        reader = ExcelFile(self.path)

        recons = read_excel(reader, "test1", index_col=0)
        tm.assert_frame_equal(expected, recons) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import read_excel [as 別名]
def test_to_excel_interval_labels(self, *_):
        # see gh-19242
        #
        # Test writing Interval with labels.
        frame = DataFrame(np.random.randint(-10, 10, size=(20, 1)),
                          dtype=np.int64)
        expected = frame.copy()
        intervals = pd.cut(frame[0], 10, labels=["A", "B", "C", "D", "E",
                                                 "F", "G", "H", "I", "J"])
        frame["new"] = intervals
        expected["new"] = pd.Series(list(intervals))

        frame.to_excel(self.path, "test1")
        reader = ExcelFile(self.path)

        recons = read_excel(reader, "test1", index_col=0)
        tm.assert_frame_equal(expected, recons) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import read_excel [as 別名]
def test_to_excel_timedelta(self, *_):
        # see gh-19242, gh-9155
        #
        # Test writing timedelta to xls.
        frame = DataFrame(np.random.randint(-10, 10, size=(20, 1)),
                          columns=["A"], dtype=np.int64)
        expected = frame.copy()

        frame["new"] = frame["A"].apply(lambda x: timedelta(seconds=x))
        expected["new"] = expected["A"].apply(
            lambda x: timedelta(seconds=x).total_seconds() / float(86400))

        frame.to_excel(self.path, "test1")
        reader = ExcelFile(self.path)

        recons = read_excel(reader, "test1", index_col=0)
        tm.assert_frame_equal(expected, recons) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import read_excel [as 別名]
def test_to_excel_multiindex_cols(self, merge_cells, engine, ext):
        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

        new_cols_index = MultiIndex.from_tuples([(40, 1), (40, 2),
                                                 (50, 1), (50, 2)])
        frame.columns = new_cols_index
        header = [0, 1]
        if not merge_cells:
            header = 0

        # round trip
        frame.to_excel(self.path, 'test1', merge_cells=merge_cells)
        reader = ExcelFile(self.path)
        df = read_excel(reader, 'test1', header=header,
                        index_col=[0, 1])
        if not merge_cells:
            fm = frame.columns.format(sparsify=False,
                                      adjoin=False, names=False)
            frame.columns = [".".join(map(str, q)) for q in zip(*fm)]
        tm.assert_frame_equal(frame, df) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import read_excel [as 別名]
def test_to_excel_multiindex_no_write_index(self, merge_cells, engine,
                                                ext):
        # Test writing and re-reading a MI witout the index. GH 5616.

        # Initial non-MI frame.
        frame1 = DataFrame({'a': [10, 20], 'b': [30, 40], 'c': [50, 60]})

        # Add a MI.
        frame2 = frame1.copy()
        multi_index = MultiIndex.from_tuples([(70, 80), (90, 100)])
        frame2.index = multi_index

        # Write out to Excel without the index.
        frame2.to_excel(self.path, 'test1', index=False)

        # Read it back in.
        reader = ExcelFile(self.path)
        frame3 = read_excel(reader, 'test1')

        # Test that it is the same as the initial frame.
        tm.assert_frame_equal(frame1, frame3)