Python pandas.ExcelFile方法代碼示例

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import ExcelFile [as 別名]
def get_data(self, index):
        prog_cod = index_map[index]
        url = "https://www.barclayhedge.com/cgi-bin/barclay_stats/ghsndx.cgi"
        param = {
            'dump': 'excel',
            'prog_cod': prog_cod,
            }
        response = self.do_request(url, param=param, method='POST', type='binary')
        if response is not None:
            excel = pd.ExcelFile(io.BytesIO(response))
            df = excel.parse('Sheet1').dropna(how='all').copy().reset_index().drop(0)
            df.columns = ['year', 'Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec', 'YTD']
            df = df.set_index('year')
            return df, ''

        return None, "獲取數據失敗" 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import ExcelFile [as 別名]
def test_parse_cols_int(self):
        _skip_if_no_openpyxl()
        _skip_if_no_xlrd()

        suffix = ['xls', 'xlsx', 'xlsm']

        for s in suffix:
            pth = os.path.join(self.dirpath, 'test.%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) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import ExcelFile [as 別名]
def test_parse_cols_list(self):
        _skip_if_no_openpyxl()
        _skip_if_no_xlrd()

        suffix = ['xls', 'xlsx', 'xlsm']

        for s in suffix:
            pth = os.path.join(self.dirpath, 'test.%s' % s)
            xls = ExcelFile(pth)
            df = xls.parse('Sheet1', index_col=0, parse_dates=True,
                           parse_cols=[0, 2, 3])
            df2 = self.read_csv(self.csv1, index_col=0, parse_dates=True)
            df2 = df2.reindex(columns=['B', 'C'])
            df3 = xls.parse('Sheet2', skiprows=[1], index_col=0,
                            parse_dates=True,
                            parse_cols=[0, 2, 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) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import ExcelFile [as 別名]
def check_excel_table_sheet_by_index(self, filename, csvfile):
        import xlrd

        pth = os.path.join(self.dirpath, filename)
        xls = ExcelFile(pth)
        df = xls.parse(0, index_col=0, parse_dates=True)
        df2 = self.read_csv(csvfile, index_col=0, parse_dates=True)
        df3 = xls.parse(1, skiprows=[1], index_col=0, parse_dates=True)
        tm.assert_frame_equal(df, df2, check_names=False)
        tm.assert_frame_equal(df3, df2, check_names=False)

        df4 = xls.parse(0, index_col=0, parse_dates=True, skipfooter=1)
        df5 = xls.parse(0, index_col=0, parse_dates=True, skip_footer=1)
        tm.assert_frame_equal(df4, df.ix[:-1])
        tm.assert_frame_equal(df4, df5)

        self.assertRaises(xlrd.XLRDError, xls.parse, 'asdf') 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import ExcelFile [as 別名]
def test_excel_table(self):
        _skip_if_no_xlrd()

        pth = os.path.join(self.dirpath, 'test.xls')
        xls = ExcelFile(pth)
        df = xls.parse('Sheet1', index_col=0, parse_dates=True)
        df2 = self.read_csv(self.csv1, index_col=0, parse_dates=True)
        df3 = xls.parse('Sheet2', skiprows=[1], index_col=0, parse_dates=True)
        tm.assert_frame_equal(df, df2, check_names=False)
        tm.assert_frame_equal(df3, df2, check_names=False)

        df4 = xls.parse('Sheet1', index_col=0, parse_dates=True,
                        skipfooter=1)
        df5 = xls.parse('Sheet1', index_col=0, parse_dates=True,
                        skip_footer=1)
        tm.assert_frame_equal(df4, df.ix[:-1])
        tm.assert_frame_equal(df4, df5) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import ExcelFile [as 別名]
def test_read_xlrd_Book(self):
        _skip_if_no_xlrd()
        _skip_if_no_xlwt()

        import xlrd

        df = self.frame

        with ensure_clean('.xls') as pth:
            df.to_excel(pth, "SheetA")
            book = xlrd.open_workbook(pth)

            with ExcelFile(book, engine="xlrd") as xl:
                result = xl.parse("SheetA")
                tm.assert_frame_equal(df, result)

            result = read_excel(book, sheetname="SheetA", engine="xlrd")
            tm.assert_frame_equal(df, result) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import ExcelFile [as 別名]
def test_xlsx_table(self):
        _skip_if_no_xlrd()
        _skip_if_no_openpyxl()

        pth = os.path.join(self.dirpath, 'test.xlsx')
        xlsx = ExcelFile(pth)
        df = xlsx.parse('Sheet1', index_col=0, parse_dates=True)
        df2 = self.read_csv(self.csv1, index_col=0, parse_dates=True)
        df3 = xlsx.parse('Sheet2', skiprows=[1], index_col=0, parse_dates=True)

        # TODO add index to xlsx file
        tm.assert_frame_equal(df, df2, check_names=False)
        tm.assert_frame_equal(df3, df2, check_names=False)

        df4 = xlsx.parse('Sheet1', index_col=0, parse_dates=True,
                         skipfooter=1)
        df5 = xlsx.parse('Sheet1', index_col=0, parse_dates=True,
                         skip_footer=1)
        tm.assert_frame_equal(df4, df.ix[:-1])
        tm.assert_frame_equal(df4, df5) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import ExcelFile [as 別名]
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(np.int64)
                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) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import ExcelFile [as 別名]
def test_sheets(self):
        _skip_if_no_xlrd()

        with ensure_clean(self.ext) 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]) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import ExcelFile [as 別名]
def test_colaliases(self):
        _skip_if_no_xlrd()

        with ensure_clean(self.ext) 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) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import ExcelFile [as 別名]
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, merge_cells=self.merge_cells)

            xf = ExcelFile(path)
            result = xf.parse(xf.sheet_names[0],
                              index_col=0,
                              has_index_names=self.merge_cells)

            tm.assert_frame_equal(result, df)
            self.assertEqual(result.index.name, 'foo') 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import ExcelFile [as 別名]
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) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import ExcelFile [as 別名]
def test_to_excel_multiindex_dates(self):
        _skip_if_no_xlrd()

        # try multiindex with dates
        tsframe = self.tsframe.copy()
        new_index = [tsframe.index, np.arange(len(tsframe.index))]
        tsframe.index = MultiIndex.from_arrays(new_index)

        with ensure_clean(self.ext) as path:
            tsframe.index.names = ['time', 'foo']
            tsframe.to_excel(path, 'test1', merge_cells=self.merge_cells)
            reader = ExcelFile(path)
            recons = reader.parse('test1',
                                  index_col=[0, 1],
                                  has_index_names=self.merge_cells)

            tm.assert_frame_equal(tsframe, recons)
            self.assertEquals(recons.index.names, ('time', 'foo')) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import ExcelFile [as 別名]
def test_to_excel_multiindex_no_write_index(self):
        _skip_if_no_xlrd()

        # Test writing and re-reading a MI witout the index. GH 5616.

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

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

        with ensure_clean(self.ext) as path:

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

            # Read it back in.
            reader = ExcelFile(path)
            frame3 = reader.parse('test1')

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

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import ExcelFile [as 別名]
def test_to_excel_float_format(self):
        _skip_if_no_xlrd()

        df = DataFrame([[0.123456, 0.234567, 0.567567],
                        [12.32112, 123123.2, 321321.2]],
                        index=['A', 'B'], columns=['X', 'Y', 'Z'])

        with ensure_clean(self.ext) 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)