| | import pandas as pd |
| |
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| |
|
| | def test_pandas_csv(tmp_path, monkeypatch): |
| | monkeypatch.chdir(tmp_path) |
| | data = {"col1": [1, 2.2, -3.3, 4.0, 5], "col2": ["A", "B", "C", "D", "E"]} |
| | df1 = pd.DataFrame(data) |
| |
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| | |
| | csv_file_path = tmp_path.joinpath("example.csv") |
| | df1.to_csv(csv_file_path, index=False) |
| |
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| | |
| | df2 = pd.read_csv(csv_file_path, on_bad_lines="skip") |
| | assert df2[df2.columns[0]].to_list() == data["col1"] |
| | assert df2[df2.columns[1]].to_list() == data["col2"] |
| |
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| |
|
| | def test_pandas_xlsx(tmp_path, monkeypatch): |
| | monkeypatch.chdir(tmp_path) |
| | data = {"col1": [1, 2.2, -3.3, 4.0, 5], "col2": ["A", "B", "C", "D", "E"]} |
| | df1 = pd.DataFrame(data) |
| |
|
| | |
| | xlsx_file_path = tmp_path.joinpath("example.xlsx") |
| | df1.to_excel(xlsx_file_path, index=False) |
| |
|
| | |
| | df2 = pd.read_excel(xlsx_file_path) |
| | assert df2[df2.columns[0]].to_list() == data["col1"] |
| | assert df2[df2.columns[1]].to_list() == data["col2"] |
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| |
|
| | def test_pandas_xlsx_with_sheets(tmp_path, monkeypatch): |
| | monkeypatch.chdir(tmp_path) |
| | data1 = {"col1": [1, 2, 3, 4, 5], "col2": ["A", "B", "C", "D", "E"]} |
| | df1 = pd.DataFrame(data1) |
| |
|
| | data2 = {"col1": [6, 7, 8, 9, 10], "col2": ["F", "G", "H", "I", "J"]} |
| | df2 = pd.DataFrame(data2) |
| |
|
| | |
| | xlsx_file_path = tmp_path.joinpath("example_with_sheets.xlsx") |
| | sheet1 = "Sheet1" |
| | sheet2 = "Sheet2" |
| | with pd.ExcelWriter(xlsx_file_path) as excel_writer: |
| | df1.to_excel(excel_writer, sheet_name=sheet1, index=False) |
| | df2.to_excel(excel_writer, sheet_name=sheet2, index=False) |
| |
|
| | |
| | with pd.ExcelFile(xlsx_file_path) as excel_file: |
| | df1 = pd.read_excel(excel_file, sheet_name=sheet1) |
| | assert df1[df1.columns[0]].to_list() == data1["col1"] |
| | assert df1[df1.columns[1]].to_list() == data1["col2"] |
| |
|
| | df2 = pd.read_excel(excel_file, sheet_name=sheet2) |
| | assert df2[df2.columns[0]].to_list() == data2["col1"] |
| | assert df2[df2.columns[1]].to_list() == data2["col2"] |
| |
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