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Python pandas.merge_ordered方法代碼示例

本文整理匯總了Python中pandas.merge_ordered方法的典型用法代碼示例。如果您正苦於以下問題:Python pandas.merge_ordered方法的具體用法?Python pandas.merge_ordered怎麽用?Python pandas.merge_ordered使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在pandas的用法示例。


在下文中一共展示了pandas.merge_ordered方法的6個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: test_multigroup

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import merge_ordered [as 別名]
def test_multigroup(self):
        left = pd.concat([self.left, self.left], ignore_index=True)

        left['group'] = ['a'] * 3 + ['b'] * 3

        result = merge_ordered(left, self.right, on='key', left_by='group',
                               fill_method='ffill')
        expected = DataFrame({'key': ['a', 'b', 'c', 'd', 'e', 'f'] * 2,
                              'lvalue': [1., 1, 2, 2, 3, 3.] * 2,
                              'rvalue': [nan, 1, 2, 3, 3, 4] * 2})
        expected['group'] = ['a'] * 6 + ['b'] * 6

        assert_frame_equal(result, expected.loc[:, result.columns])

        result2 = merge_ordered(self.right, left, on='key', right_by='group',
                                fill_method='ffill')
        assert_frame_equal(result, result2.loc[:, result.columns])

        result = merge_ordered(left, self.right, on='key', left_by='group')
        assert result['group'].notna().all() 
開發者ID:Frank-qlu,項目名稱:recruit,代碼行數:22,代碼來源:test_merge_ordered.py

示例2: test_doc_example

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import merge_ordered [as 別名]
def test_doc_example(self):
        left = DataFrame({'group': list('aaabbb'),
                          'key': ['a', 'c', 'e', 'a', 'c', 'e'],
                          'lvalue': [1, 2, 3] * 2,
                          })

        right = DataFrame({'key': ['b', 'c', 'd'],
                           'rvalue': [1, 2, 3]})

        result = merge_ordered(left, right, fill_method='ffill',
                               left_by='group')

        expected = DataFrame({'group': list('aaaaabbbbb'),
                              'key': ['a', 'b', 'c', 'd', 'e'] * 2,
                              'lvalue': [1, 1, 2, 2, 3] * 2,
                              'rvalue': [nan, 1, 2, 3, 3] * 2})

        assert_frame_equal(result, expected) 
開發者ID:Frank-qlu,項目名稱:recruit,代碼行數:20,代碼來源:test_merge_ordered.py

示例3: process_amr_results

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import merge_ordered [as 別名]
def process_amr_results(self, amr_results_path, total_reads):
        """ Writes processed amr result table with total_genes_hit, total_coverage,
            and total_depth column values filled in for all genes to output files; and likewise with
            the gene-family level summary of amr results table. """
        amr_results = PipelineStepRunSRST2._get_pre_proc_amr_results(amr_results_path)
        amr_summary = PipelineStepRunSRST2._summarize_amr_gene_families(amr_results)
        amr_summary.to_csv(
            self.output_files_local()[4],
            mode='w',
            index=False,
            encoding='utf-8')
        sorted_amr = amr_results.sort_values(by=['gene_family'])
        proc_amr = pd.merge_ordered(sorted_amr, amr_summary, fill_method='ffill', left_by=['gene_family'])
        proc_amr_with_rpm = PipelineStepRunSRST2._append_rpm_to_results(proc_amr, os.path.join(self.output_dir_local, MATCHED_READS_FILE), total_reads)
        proc_amr_with_rpm_and_dpm = PipelineStepRunSRST2._append_dpm_to_results(proc_amr_with_rpm, total_reads)
        proc_amr_with_rpm_and_dpm.to_csv(
            self.output_files_local()[3],
            mode='w',
            index=False,
            encoding='utf-8') 
開發者ID:chanzuckerberg,項目名稱:idseq-dag,代碼行數:22,代碼來源:run_srst2.py

示例4: test_basic

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import merge_ordered [as 別名]
def test_basic(self):
        result = merge_ordered(self.left, self.right, on='key')
        expected = DataFrame({'key': ['a', 'b', 'c', 'd', 'e', 'f'],
                              'lvalue': [1, nan, 2, nan, 3, nan],
                              'rvalue': [nan, 1, 2, 3, nan, 4]})

        assert_frame_equal(result, expected) 
開發者ID:Frank-qlu,項目名稱:recruit,代碼行數:9,代碼來源:test_merge_ordered.py

示例5: test_ffill

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import merge_ordered [as 別名]
def test_ffill(self):
        result = merge_ordered(
            self.left, self.right, on='key', fill_method='ffill')
        expected = DataFrame({'key': ['a', 'b', 'c', 'd', 'e', 'f'],
                              'lvalue': [1., 1, 2, 2, 3, 3.],
                              'rvalue': [nan, 1, 2, 3, 3, 4]})
        assert_frame_equal(result, expected) 
開發者ID:Frank-qlu,項目名稱:recruit,代碼行數:9,代碼來源:test_merge_ordered.py

示例6: merge_ordered

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import merge_ordered [as 別名]
def merge_ordered(
    left,
    right,
    on=None,
    left_on=None,
    right_on=None,
    left_by=None,
    right_by=None,
    fill_method=None,
    suffixes=("_x", "_y"),
    how: str = "outer",
) -> DataFrame:
    if not isinstance(left, DataFrame):
        raise ValueError(
            "can not merge DataFrame with instance of type {}".format(type(right))
        )
    ErrorMessage.default_to_pandas("`merge_ordered`")
    if isinstance(right, DataFrame):
        right = to_pandas(right)
    return DataFrame(
        pandas.merge_ordered(
            to_pandas(left),
            right,
            on=on,
            left_on=left_on,
            right_on=right_on,
            left_by=left_by,
            right_by=right_by,
            fill_method=fill_method,
            suffixes=suffixes,
            how=how,
        )
    ) 
開發者ID:modin-project,項目名稱:modin,代碼行數:35,代碼來源:general.py


注:本文中的pandas.merge_ordered方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台,相關代碼片段篩選自各路編程大神貢獻的開源項目,源碼版權歸原作者所有,傳播和使用請參考對應項目的License;未經允許,請勿轉載。