7 examples of 'pandas concat two columns' in Python

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def _concat(df, type):
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    if df is None:
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        df = pd.DataFrame(_object_blocks[type])
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    else:
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        _df = pd.DataFrame(_object_blocks[type])
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        df = pd.concat([df, _df], sort=True)
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    return df

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def merge(old_cols, new_cols):
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    return old_cols + new_cols

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def append_data(df1, df2):
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    '''
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    Append df2 to df1
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    '''
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    df = pd.concat((df1, df2))
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    return df.groupby(df.index).first()

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def _concat_df(data, temp):
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    oh = onehot(data)
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    temp = pd.concat([temp, oh], axis=1)
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    return temp

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def concat(self, l):
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    if not len(l):
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        return "NA"
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    return ";".join([str(i) for i in l])

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@pytest.mark.functions
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def test_deconcatenate_column_string_no_sep(dataframe):
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    with pytest.raises(ValueError):
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        df_orig = dataframe.concatenate_columns(
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            column_names=["a", "decorated-elephant"],
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            sep="-",
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            new_column_name="index",
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        )
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        df = df_orig.deconcatenate_column(
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            column_name="index", new_column_names=["A", "B"]
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        )

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def test_concat_rows_transform_1():
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    d1 = data_algebra.default_data_model.pd.DataFrame({"k": ["a", "b"], "x": [1, 2],})
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    d2 = data_algebra.default_data_model.pd.DataFrame({"k": ["b", "c"], "x": [3, 4],})
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    ops = describe_table(d1, table_name="d1").concat_rows(
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        b=describe_table(d2, table_name="d2")
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    )
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    data = {"d1": d1, "d2": d2}
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    expect = data_algebra.default_data_model.pd.DataFrame(
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        {
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            "k": ["a", "b", "b", "c"],
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            "x": [1, 2, 3, 4],
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            "source_name": ["a", "a", "b", "b"],
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        }
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    )
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    data_algebra.test_util.check_transform(ops, data, expect)