import pandas as pd 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) # write to csv file csv_file_path = tmp_path.joinpath('example.csv') df1.to_csv(csv_file_path, index=False) # read from csv file 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'] 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) # write to xlsx file xlsx_file_path = tmp_path.joinpath('example.xlsx') df1.to_excel(xlsx_file_path, index=False) # read from xlsx file 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'] 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) # write to xlsx file with sheets 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) # read from xlsx file with sheets 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']