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import contextlib
from pathlib import Path
import re
import numpy as np
import pytest
import pandas.util._test_decorators as td
from pandas.compat import is_platform_windows
import pandas as pd
from pandas import DataFrame
import pandas._testing as tm
from pandas.io.excel import (
ExcelWriter,
_OpenpyxlWriter,
)
from pandas.io.excel._openpyxl import OpenpyxlReader
openpyxl = td.versioned_importorskip("openpyxl")
if is_platform_windows():
pytestmark = pytest.mark.single_cpu
@pytest.fixture
def ext():
return ".xlsx"
def test_to_excel_styleconverter():
from openpyxl import styles
hstyle = {
"font": {"color": "00FF0000", "bold": True},
"borders": {"top": "thin", "right": "thin", "bottom": "thin", "left": "thin"},
"alignment": {"horizontal": "center", "vertical": "top"},
"fill": {"patternType": "solid", "fgColor": {"rgb": "006666FF", "tint": 0.3}},
"number_format": {"format_code": "0.00"},
"protection": {"locked": True, "hidden": False},
}
font_color = styles.Color("00FF0000")
font = styles.Font(bold=True, color=font_color)
side = styles.Side(style=styles.borders.BORDER_THIN)
border = styles.Border(top=side, right=side, bottom=side, left=side)
alignment = styles.Alignment(horizontal="center", vertical="top")
fill_color = styles.Color(rgb="006666FF", tint=0.3)
fill = styles.PatternFill(patternType="solid", fgColor=fill_color)
number_format = "0.00"
protection = styles.Protection(locked=True, hidden=False)
kw = _OpenpyxlWriter._convert_to_style_kwargs(hstyle)
assert kw["font"] == font
assert kw["border"] == border
assert kw["alignment"] == alignment
assert kw["fill"] == fill
assert kw["number_format"] == number_format
assert kw["protection"] == protection
def test_write_cells_merge_styled(ext):
from pandas.io.formats.excel import ExcelCell
sheet_name = "merge_styled"
sty_b1 = {"font": {"color": "00FF0000"}}
sty_a2 = {"font": {"color": "0000FF00"}}
initial_cells = [
ExcelCell(col=1, row=0, val=42, style=sty_b1),
ExcelCell(col=0, row=1, val=99, style=sty_a2),
]
sty_merged = {"font": {"color": "000000FF", "bold": True}}
sty_kwargs = _OpenpyxlWriter._convert_to_style_kwargs(sty_merged)
openpyxl_sty_merged = sty_kwargs["font"]
merge_cells = [
ExcelCell(
col=0, row=0, val="pandas", mergestart=1, mergeend=1, style=sty_merged
)
]
with tm.ensure_clean(ext) as path:
with _OpenpyxlWriter(path) as writer:
writer._write_cells(initial_cells, sheet_name=sheet_name)
writer._write_cells(merge_cells, sheet_name=sheet_name)
wks = writer.sheets[sheet_name]
xcell_b1 = wks["B1"]
xcell_a2 = wks["A2"]
assert xcell_b1.font == openpyxl_sty_merged
assert xcell_a2.font == openpyxl_sty_merged
@pytest.mark.parametrize("iso_dates", [True, False])
def test_engine_kwargs_write(ext, iso_dates):
# GH 42286 GH 43445
engine_kwargs = {"iso_dates": iso_dates}
with tm.ensure_clean(ext) as f:
with ExcelWriter(f, engine="openpyxl", engine_kwargs=engine_kwargs) as writer:
assert writer.book.iso_dates == iso_dates
# ExcelWriter won't allow us to close without writing something
DataFrame().to_excel(writer)
def test_engine_kwargs_append_invalid(ext):
# GH 43445
# test whether an invalid engine kwargs actually raises
with tm.ensure_clean(ext) as f:
DataFrame(["hello", "world"]).to_excel(f)
with pytest.raises(
TypeError,
match=re.escape(
"load_workbook() got an unexpected keyword argument 'apple_banana'"
),
):
with ExcelWriter(
f, engine="openpyxl", mode="a", engine_kwargs={"apple_banana": "fruit"}
) as writer:
# ExcelWriter needs us to write something to close properly
DataFrame(["good"]).to_excel(writer, sheet_name="Sheet2")
@td.skip_if_no("xlsxwriter")
@pytest.mark.parametrize("data_only, expected", [(True, 0), (False, "=1+1")])
def test_engine_kwargs_append_data_only(ext, data_only, expected):
# GH 43445
# tests whether the data_only engine_kwarg actually works well for
# openpyxl's load_workbook
with tm.ensure_clean(ext) as f:
DataFrame(["=1+1"]).to_excel(f, engine="xlsxwriter") # with openpyxl here, data_only=True gives None/np.nan not 0
with ExcelWriter(
f, engine="openpyxl", mode="a", engine_kwargs={"data_only": data_only}
) as writer:
assert writer.sheets["Sheet1"]["B2"].value == expected
# ExcelWriter needs us to writer something to close properly?
DataFrame().to_excel(writer, sheet_name="Sheet2")
# ensure that data_only also works for reading
# and that formulas/values roundtrip
assert (
pd.read_excel(
f,
sheet_name="Sheet1",
engine="openpyxl",
engine_kwargs={"data_only": data_only},
).iloc[0, 1]
== expected
)
@pytest.mark.parametrize("kwarg_name", ["read_only", "data_only"])
@pytest.mark.parametrize("kwarg_value", [True, False])
def test_engine_kwargs_append_reader(datapath, ext, kwarg_name, kwarg_value):
# GH 55027
# test that `read_only` and `data_only` can be passed to
# `openpyxl.reader.excel.load_workbook` via `engine_kwargs`
filename = datapath("io", "data", "excel", "test1" + ext)
with contextlib.closing(
OpenpyxlReader(filename, engine_kwargs={kwarg_name: kwarg_value})
) as reader:
assert getattr(reader.book, kwarg_name) == kwarg_value
@pytest.mark.parametrize(
"mode,expected", [("w", ["baz"]), ("a", ["foo", "bar", "baz"])]
)
def test_write_append_mode(ext, mode, expected):
df = DataFrame([1], columns=["baz"])
with tm.ensure_clean(ext) as f:
wb = openpyxl.Workbook()
wb.worksheets[0].title = "foo"
wb.worksheets[0]["A1"].value = "foo"
wb.create_sheet("bar")
wb.worksheets[1]["A1"].value = "bar"
wb.save(f)
with ExcelWriter(f, engine="openpyxl", mode=mode) as writer:
df.to_excel(writer, sheet_name="baz", index=False)
with contextlib.closing(openpyxl.load_workbook(f)) as wb2:
result = [sheet.title for sheet in wb2.worksheets]
assert result == expected
for index, cell_value in enumerate(expected):
assert wb2.worksheets[index]["A1"].value == cell_value
@pytest.mark.parametrize(
"if_sheet_exists,num_sheets,expected",
[
("new", 2, ["apple", "banana"]),
("replace", 1, ["pear"]),
("overlay", 1, ["pear", "banana"]),
],
)
def test_if_sheet_exists_append_modes(ext, if_sheet_exists, num_sheets, expected):
# GH 40230
df1 = DataFrame({"fruit": ["apple", "banana"]})
df2 = DataFrame({"fruit": ["pear"]})
with tm.ensure_clean(ext) as f:
df1.to_excel(f, engine="openpyxl", sheet_name="foo", index=False)
with ExcelWriter(
f, engine="openpyxl", mode="a", if_sheet_exists=if_sheet_exists
) as writer:
df2.to_excel(writer, sheet_name="foo", index=False)
with contextlib.closing(openpyxl.load_workbook(f)) as wb:
assert len(wb.sheetnames) == num_sheets
assert wb.sheetnames[0] == "foo"
result = pd.read_excel(wb, "foo", engine="openpyxl")
assert list(result["fruit"]) == expected
if len(wb.sheetnames) == 2:
result = pd.read_excel(wb, wb.sheetnames[1], engine="openpyxl")
tm.assert_frame_equal(result, df2)
@pytest.mark.parametrize(
"startrow, startcol, greeting, goodbye",
[
(0, 0, ["poop", "world"], ["goodbye", "people"]),
(0, 1, ["hello", "world"], ["poop", "people"]),
(1, 0, ["hello", "poop"], ["goodbye", "people"]),
(1, 1, ["hello", "world"], ["goodbye", "poop"]),
],
)
def test_append_overlay_startrow_startcol(ext, startrow, startcol, greeting, goodbye):
df1 = DataFrame({"greeting": ["hello", "world"], "goodbye": ["goodbye", "people"]})
df2 = DataFrame(["poop"])
with tm.ensure_clean(ext) as f:
df1.to_excel(f, engine="openpyxl", sheet_name="poo", index=False)
with ExcelWriter(
f, engine="openpyxl", mode="a", if_sheet_exists="overlay"
) as writer:
# use startrow+1 because we don't have a header
df2.to_excel(
writer,
index=False,
header=False,
startrow=startrow + 1,
startcol=startcol,
sheet_name="poo",
)
result = pd.read_excel(f, sheet_name="poo", engine="openpyxl")
expected = DataFrame({"greeting": greeting, "goodbye": goodbye})
tm.assert_frame_equal(result, expected)
@pytest.mark.parametrize(
"if_sheet_exists,msg",
[
(
"invalid",
"'invalid' is not valid for if_sheet_exists. Valid options "
"are 'error', 'new', 'replace' and 'overlay'.",
),
(
"error",
"Sheet 'foo' already exists and if_sheet_exists is set to 'error'.",
),
(
None,
"Sheet 'foo' already exists and if_sheet_exists is set to 'error'.",
),
],
)
def test_if_sheet_exists_raises(ext, if_sheet_exists, msg):
# GH 40230
df = DataFrame({"fruit": ["pear"]})
with tm.ensure_clean(ext) as f:
with pytest.raises(ValueError, match=re.escape(msg)):
df.to_excel(f, sheet_name="foo", engine="openpyxl")
with ExcelWriter(
f, engine="openpyxl", mode="a", if_sheet_exists=if_sheet_exists
) as writer:
df.to_excel(writer, sheet_name="foo")
def test_to_excel_with_openpyxl_engine(ext):
# GH 29854
with tm.ensure_clean(ext) as filename:
df1 = DataFrame({"A": np.linspace(1, 10, 10)})
df2 = DataFrame({"B": np.linspace(1, 20, 10)})
df = pd.concat([df1, df2], axis=1)
styled = df.style.map(
lambda val: f"color: {'red' if val < 0 else 'black'}"
).highlight_max()
styled.to_excel(filename, engine="openpyxl")
@pytest.mark.parametrize("read_only", [True, False])
def test_read_workbook(datapath, ext, read_only):
# GH 39528
filename = datapath("io", "data", "excel", "test1" + ext)
with contextlib.closing(
openpyxl.load_workbook(filename, read_only=read_only)
) as wb:
result = pd.read_excel(wb, engine="openpyxl")
expected = pd.read_excel(filename)
tm.assert_frame_equal(result, expected)
@pytest.mark.parametrize(
"header, expected_data",
[
(
0,
{
"Title": [np.nan, "A", 1, 2, 3],
"Unnamed: 1": [np.nan, "B", 4, 5, 6],
"Unnamed: 2": [np.nan, "C", 7, 8, 9],
},
),
(2, {"A": [1, 2, 3], "B": [4, 5, 6], "C": [7, 8, 9]}),
],
)
@pytest.mark.parametrize(
"filename", ["dimension_missing", "dimension_small", "dimension_large"]
)
# When read_only is None, use read_excel instead of a workbook
@pytest.mark.parametrize("read_only", [True, False, None])
def test_read_with_bad_dimension(
datapath, ext, header, expected_data, filename, read_only
):
# GH 38956, 39001 - no/incorrect dimension information
path = datapath("io", "data", "excel", f"{filename}{ext}")
if read_only is None:
result = pd.read_excel(path, header=header)
else:
with contextlib.closing(
openpyxl.load_workbook(path, read_only=read_only)
) as wb:
result = pd.read_excel(wb, engine="openpyxl", header=header)
expected = DataFrame(expected_data)
tm.assert_frame_equal(result, expected)
def test_append_mode_file(ext):
# GH 39576
df = DataFrame()
with tm.ensure_clean(ext) as f:
df.to_excel(f, engine="openpyxl")
with ExcelWriter(
f, mode="a", engine="openpyxl", if_sheet_exists="new"
) as writer:
df.to_excel(writer)
# make sure that zip files are not concatenated by making sure that
# "docProps/app.xml" only occurs twice in the file
data = Path(f).read_bytes()
first = data.find(b"docProps/app.xml")
second = data.find(b"docProps/app.xml", first + 1)
third = data.find(b"docProps/app.xml", second + 1)
assert second != -1 and third == -1
# When read_only is None, use read_excel instead of a workbook
@pytest.mark.parametrize("read_only", [True, False, None])
def test_read_with_empty_trailing_rows(datapath, ext, read_only):
# GH 39181
path = datapath("io", "data", "excel", f"empty_trailing_rows{ext}")
if read_only is None:
result = pd.read_excel(path)
else:
with contextlib.closing(
openpyxl.load_workbook(path, read_only=read_only)
) as wb:
result = pd.read_excel(wb, engine="openpyxl")
expected = DataFrame(
{
"Title": [np.nan, "A", 1, 2, 3],
"Unnamed: 1": [np.nan, "B", 4, 5, 6],
"Unnamed: 2": [np.nan, "C", 7, 8, 9],
}
)
tm.assert_frame_equal(result, expected)
# When read_only is None, use read_excel instead of a workbook
@pytest.mark.parametrize("read_only", [True, False, None])
def test_read_empty_with_blank_row(datapath, ext, read_only):
# GH 39547 - empty excel file with a row that has no data
path = datapath("io", "data", "excel", f"empty_with_blank_row{ext}")
if read_only is None:
result = pd.read_excel(path)
else:
with contextlib.closing(
openpyxl.load_workbook(path, read_only=read_only)
) as wb:
result = pd.read_excel(wb, engine="openpyxl")
expected = DataFrame()
tm.assert_frame_equal(result, expected)
def test_book_and_sheets_consistent(ext):
# GH#45687 - Ensure sheets is updated if user modifies book
with tm.ensure_clean(ext) as f:
with ExcelWriter(f, engine="openpyxl") as writer:
assert writer.sheets == {}
sheet = writer.book.create_sheet("test_name", 0)
assert writer.sheets == {"test_name": sheet}
def test_ints_spelled_with_decimals(datapath, ext):
# GH 46988 - openpyxl returns this sheet with floats
path = datapath("io", "data", "excel", f"ints_spelled_with_decimals{ext}")
result = pd.read_excel(path)
expected = DataFrame(range(2, 12), columns=[1])
tm.assert_frame_equal(result, expected)
def test_read_multiindex_header_no_index_names(datapath, ext):
# GH#47487
path = datapath("io", "data", "excel", f"multiindex_no_index_names{ext}")
result = pd.read_excel(path, index_col=[0, 1, 2], header=[0, 1, 2])
expected = DataFrame(
[[np.nan, "x", "x", "x"], ["x", np.nan, np.nan, np.nan]],
columns=pd.MultiIndex.from_tuples(
[("X", "Y", "A1"), ("X", "Y", "A2"), ("XX", "YY", "B1"), ("XX", "YY", "B2")]
),
index=pd.MultiIndex.from_tuples([("A", "AA", "AAA"), ("A", "BB", "BBB")]),
)
tm.assert_frame_equal(result, expected)
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