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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"]