7 examples of 'pandas concat two columns' in Python

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29def _concat(df, type):
30 if df is None:
31 df = pd.DataFrame(_object_blocks[type])
32 else:
33 _df = pd.DataFrame(_object_blocks[type])
34 df = pd.concat([df, _df], sort=True)
35 return df
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813def merge(old_cols, new_cols):
814 return old_cols + new_cols
142def append_data(df1, df2):
143 '''
144 Append df2 to df1
145 '''
146 df = pd.concat((df1, df2))
147 return df.groupby(df.index).first()
56def _concat_df(data, temp):
57
58 oh = onehot(data)
59 temp = pd.concat([temp, oh], axis=1)
60
61 return temp
33def concat(self, l):
34 if not len(l):
35 return "NA"
36 return ";".join([str(i) for i in l])
39@pytest.mark.functions
40def test_deconcatenate_column_string_no_sep(dataframe):
41 with pytest.raises(ValueError):
42 df_orig = dataframe.concatenate_columns(
43 column_names=["a", "decorated-elephant"],
44 sep="-",
45 new_column_name="index",
46 )
47 df = df_orig.deconcatenate_column(
48 column_name="index", new_column_names=["A", "B"]
49 )
44def test_concat_rows_transform_1():
45 d1 = data_algebra.default_data_model.pd.DataFrame({"k": ["a", "b"], "x": [1, 2],})
46 d2 = data_algebra.default_data_model.pd.DataFrame({"k": ["b", "c"], "x": [3, 4],})
47 ops = describe_table(d1, table_name="d1").concat_rows(
48 b=describe_table(d2, table_name="d2")
49 )
50 data = {"d1": d1, "d2": d2}
51 expect = data_algebra.default_data_model.pd.DataFrame(
52 {
53 "k": ["a", "b", "b", "c"],
54 "x": [1, 2, 3, 4],
55 "source_name": ["a", "a", "b", "b"],
56 }
57 )
58 data_algebra.test_util.check_transform(ops, data, expect)

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