Sindbad~EG File Manager
from __future__ import annotations
from io import (
BytesIO,
StringIO,
)
from lzma import LZMAError
import os
from tarfile import ReadError
from urllib.error import HTTPError
from xml.etree.ElementTree import ParseError
from zipfile import BadZipFile
import numpy as np
import pytest
from pandas.compat._optional import import_optional_dependency
from pandas.errors import (
EmptyDataError,
ParserError,
)
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
NA,
DataFrame,
Series,
)
import pandas._testing as tm
from pandas.core.arrays import (
ArrowStringArray,
StringArray,
)
from pandas.core.arrays.string_arrow import ArrowStringArrayNumpySemantics
from pandas.io.common import get_handle
from pandas.io.xml import read_xml
# CHECK LIST
# [x] - ValueError: "Values for parser can only be lxml or etree."
# etree
# [X] - ImportError: "lxml not found, please install or use the etree parser."
# [X] - TypeError: "expected str, bytes or os.PathLike object, not NoneType"
# [X] - ValueError: "Either element or attributes can be parsed not both."
# [X] - ValueError: "xpath does not return any nodes..."
# [X] - SyntaxError: "You have used an incorrect or unsupported XPath"
# [X] - ValueError: "names does not match length of child elements in xpath."
# [X] - TypeError: "...is not a valid type for names"
# [X] - ValueError: "To use stylesheet, you need lxml installed..."
# [] - URLError: (GENERAL ERROR WITH HTTPError AS SUBCLASS)
# [X] - HTTPError: "HTTP Error 404: Not Found"
# [] - OSError: (GENERAL ERROR WITH FileNotFoundError AS SUBCLASS)
# [X] - FileNotFoundError: "No such file or directory"
# [] - ParseError (FAILSAFE CATCH ALL FOR VERY COMPLEX XML)
# [X] - UnicodeDecodeError: "'utf-8' codec can't decode byte 0xe9..."
# [X] - UnicodeError: "UTF-16 stream does not start with BOM"
# [X] - BadZipFile: "File is not a zip file"
# [X] - OSError: "Invalid data stream"
# [X] - LZMAError: "Input format not supported by decoder"
# [X] - ValueError: "Unrecognized compression type"
# [X] - PermissionError: "Forbidden"
# lxml
# [X] - ValueError: "Either element or attributes can be parsed not both."
# [X] - AttributeError: "__enter__"
# [X] - XSLTApplyError: "Cannot resolve URI"
# [X] - XSLTParseError: "document is not a stylesheet"
# [X] - ValueError: "xpath does not return any nodes."
# [X] - XPathEvalError: "Invalid expression"
# [] - XPathSyntaxError: (OLD VERSION IN lxml FOR XPATH ERRORS)
# [X] - TypeError: "empty namespace prefix is not supported in XPath"
# [X] - ValueError: "names does not match length of child elements in xpath."
# [X] - TypeError: "...is not a valid type for names"
# [X] - LookupError: "unknown encoding"
# [] - URLError: (USUALLY DUE TO NETWORKING)
# [X - HTTPError: "HTTP Error 404: Not Found"
# [X] - OSError: "failed to load external entity"
# [X] - XMLSyntaxError: "Start tag expected, '<' not found"
# [] - ParserError: (FAILSAFE CATCH ALL FOR VERY COMPLEX XML
# [X] - ValueError: "Values for parser can only be lxml or etree."
# [X] - UnicodeDecodeError: "'utf-8' codec can't decode byte 0xe9..."
# [X] - UnicodeError: "UTF-16 stream does not start with BOM"
# [X] - BadZipFile: "File is not a zip file"
# [X] - OSError: "Invalid data stream"
# [X] - LZMAError: "Input format not supported by decoder"
# [X] - ValueError: "Unrecognized compression type"
# [X] - PermissionError: "Forbidden"
geom_df = DataFrame(
{
"shape": ["square", "circle", "triangle"],
"degrees": [360, 360, 180],
"sides": [4, np.nan, 3],
}
)
xml_default_nmsp = """\
<?xml version='1.0' encoding='utf-8'?>
<data xmlns="http://example.com">
<row>
<shape>square</shape>
<degrees>360</degrees>
<sides>4</sides>
</row>
<row>
<shape>circle</shape>
<degrees>360</degrees>
<sides/>
</row>
<row>
<shape>triangle</shape>
<degrees>180</degrees>
<sides>3</sides>
</row>
</data>"""
xml_prefix_nmsp = """\
<?xml version='1.0' encoding='utf-8'?>
<doc:data xmlns:doc="http://example.com">
<doc:row>
<doc:shape>square</doc:shape>
<doc:degrees>360</doc:degrees>
<doc:sides>4.0</doc:sides>
</doc:row>
<doc:row>
<doc:shape>circle</doc:shape>
<doc:degrees>360</doc:degrees>
<doc:sides/>
</doc:row>
<doc:row>
<doc:shape>triangle</doc:shape>
<doc:degrees>180</doc:degrees>
<doc:sides>3.0</doc:sides>
</doc:row>
</doc:data>"""
df_kml = DataFrame(
{
"id": {
0: "ID_00001",
1: "ID_00002",
2: "ID_00003",
3: "ID_00004",
4: "ID_00005",
},
"name": {
0: "Blue Line (Forest Park)",
1: "Red, Purple Line",
2: "Red, Purple Line",
3: "Red, Purple Line",
4: "Red, Purple Line",
},
"styleUrl": {
0: "#LineStyle01",
1: "#LineStyle01",
2: "#LineStyle01",
3: "#LineStyle01",
4: "#LineStyle01",
},
"extrude": {0: 0, 1: 0, 2: 0, 3: 0, 4: 0},
"altitudeMode": {
0: "clampedToGround",
1: "clampedToGround",
2: "clampedToGround",
3: "clampedToGround",
4: "clampedToGround",
},
"coordinates": {
0: (
"-87.77678526964958,41.8708863930319,0 "
"-87.77826234150609,41.87097820122218,0 "
"-87.78251583439344,41.87130129991005,0 "
"-87.78418294588424,41.87145055520308,0 "
"-87.7872369165933,41.8717239119163,0 "
"-87.79160214925886,41.87210797280065,0"
),
1: (
"-87.65758750947528,41.96427269188822,0 "
"-87.65802133507393,41.96581929055245,0 "
"-87.65819033925305,41.96621846093642,0 "
"-87.6583189819129,41.96650362897086,0 "
"-87.65835858701473,41.96669002089185,0 "
"-87.65838428411853,41.96688150295095,0 "
"-87.65842208882658,41.96745896091846,0 "
"-87.65846556843937,41.9683761425439,0 "
"-87.65849296214573,41.96913893870342,0"
),
2: (
"-87.65492939166126,41.95377494531437,0 "
"-87.65557043199591,41.95376544118533,0 "
"-87.65606302030132,41.95376391658746,0 "
"-87.65623502146268,41.95377379126367,0 "
"-87.65634748981634,41.95380103566435,0 "
"-87.65646537904269,41.95387703994676,0 "
"-87.65656532461145,41.95396622645799,0 "
"-87.65664760856414,41.95404201996044,0 "
"-87.65671750555913,41.95416647054043,0 "
"-87.65673983607117,41.95429949810849,0 "
"-87.65673866475777,41.95441024240925,0 "
"-87.6567690255541,41.95490657227902,0 "
"-87.65683672482363,41.95692259283837,0 "
"-87.6568900886376,41.95861070983142,0 "
"-87.65699865558875,41.96181418669004,0 "
"-87.65756347177603,41.96397045777844,0 "
"-87.65758750947528,41.96427269188822,0"
),
3: (
"-87.65362593118043,41.94742799535678,0 "
"-87.65363554415794,41.94819886386848,0 "
"-87.6536456393239,41.95059994675451,0 "
"-87.65365831235026,41.95108288489359,0 "
"-87.6536604873874,41.9519954657554,0 "
"-87.65362592053201,41.95245597302328,0 "
"-87.65367158496069,41.95311153649393,0 "
"-87.65368468595476,41.9533202828916,0 "
"-87.65369271253692,41.95343095587119,0 "
"-87.65373335834569,41.95351536301472,0 "
"-87.65378605844126,41.95358212680591,0 "
"-87.65385067928185,41.95364452823767,0 "
"-87.6539390793817,41.95370263886964,0 "
"-87.6540786298351,41.95373403675265,0 "
"-87.65430648647626,41.9537535411832,0 "
"-87.65492939166126,41.95377494531437,0"
),
4: (
"-87.65345391792157,41.94217681262115,0 "
"-87.65342448305786,41.94237224420864,0 "
"-87.65339745703922,41.94268217746244,0 "
"-87.65337753982941,41.94288140770284,0 "
"-87.65336256753105,41.94317369618263,0 "
"-87.65338799707138,41.94357253961736,0 "
"-87.65340240886648,41.94389158188269,0 "
"-87.65341837392448,41.94406444407721,0 "
"-87.65342275247338,41.94421065714904,0 "
"-87.65347469646018,41.94434829382345,0 "
"-87.65351486483024,41.94447699917548,0 "
"-87.65353483605053,41.9453896864472,0 "
"-87.65361975532807,41.94689193720703,0 "
"-87.65362593118043,41.94742799535678,0"
),
},
}
)
def test_literal_xml_deprecation():
# GH 53809
pytest.importorskip("lxml")
msg = (
"Passing literal xml to 'read_xml' is deprecated and "
"will be removed in a future version. To read from a "
"literal string, wrap it in a 'StringIO' object."
)
with tm.assert_produces_warning(FutureWarning, match=msg):
read_xml(xml_default_nmsp)
@pytest.fixture(params=["rb", "r"])
def mode(request):
return request.param
@pytest.fixture(params=[pytest.param("lxml", marks=td.skip_if_no("lxml")), "etree"])
def parser(request):
return request.param
def read_xml_iterparse(data, **kwargs):
with tm.ensure_clean() as path:
with open(path, "w", encoding="utf-8") as f:
f.write(data)
return read_xml(path, **kwargs)
def read_xml_iterparse_comp(comp_path, compression_only, **kwargs):
with get_handle(comp_path, "r", compression=compression_only) as handles:
with tm.ensure_clean() as path:
with open(path, "w", encoding="utf-8") as f:
f.write(handles.handle.read())
return read_xml(path, **kwargs)
# FILE / URL
def test_parser_consistency_file(xml_books):
pytest.importorskip("lxml")
df_file_lxml = read_xml(xml_books, parser="lxml")
df_file_etree = read_xml(xml_books, parser="etree")
df_iter_lxml = read_xml(
xml_books,
parser="lxml",
iterparse={"book": ["category", "title", "year", "author", "price"]},
)
df_iter_etree = read_xml(
xml_books,
parser="etree",
iterparse={"book": ["category", "title", "year", "author", "price"]},
)
tm.assert_frame_equal(df_file_lxml, df_file_etree)
tm.assert_frame_equal(df_file_lxml, df_iter_lxml)
tm.assert_frame_equal(df_iter_lxml, df_iter_etree)
@pytest.mark.network
@pytest.mark.single_cpu
def test_parser_consistency_url(parser, httpserver):
httpserver.serve_content(content=xml_default_nmsp)
df_xpath = read_xml(StringIO(xml_default_nmsp), parser=parser)
df_iter = read_xml(
BytesIO(xml_default_nmsp.encode()),
parser=parser,
iterparse={"row": ["shape", "degrees", "sides"]},
)
tm.assert_frame_equal(df_xpath, df_iter)
def test_file_like(xml_books, parser, mode):
with open(xml_books, mode, encoding="utf-8" if mode == "r" else None) as f:
df_file = read_xml(f, parser=parser)
df_expected = DataFrame(
{
"category": ["cooking", "children", "web"],
"title": ["Everyday Italian", "Harry Potter", "Learning XML"],
"author": ["Giada De Laurentiis", "J K. Rowling", "Erik T. Ray"],
"year": [2005, 2005, 2003],
"price": [30.00, 29.99, 39.95],
}
)
tm.assert_frame_equal(df_file, df_expected)
def test_file_io(xml_books, parser, mode):
with open(xml_books, mode, encoding="utf-8" if mode == "r" else None) as f:
xml_obj = f.read()
df_io = read_xml(
(BytesIO(xml_obj) if isinstance(xml_obj, bytes) else StringIO(xml_obj)),
parser=parser,
)
df_expected = DataFrame(
{
"category": ["cooking", "children", "web"],
"title": ["Everyday Italian", "Harry Potter", "Learning XML"],
"author": ["Giada De Laurentiis", "J K. Rowling", "Erik T. Ray"],
"year": [2005, 2005, 2003],
"price": [30.00, 29.99, 39.95],
}
)
tm.assert_frame_equal(df_io, df_expected)
def test_file_buffered_reader_string(xml_books, parser, mode):
with open(xml_books, mode, encoding="utf-8" if mode == "r" else None) as f:
xml_obj = f.read()
if mode == "rb":
xml_obj = StringIO(xml_obj.decode())
elif mode == "r":
xml_obj = StringIO(xml_obj)
df_str = read_xml(xml_obj, parser=parser)
df_expected = DataFrame(
{
"category": ["cooking", "children", "web"],
"title": ["Everyday Italian", "Harry Potter", "Learning XML"],
"author": ["Giada De Laurentiis", "J K. Rowling", "Erik T. Ray"],
"year": [2005, 2005, 2003],
"price": [30.00, 29.99, 39.95],
}
)
tm.assert_frame_equal(df_str, df_expected)
def test_file_buffered_reader_no_xml_declaration(xml_books, parser, mode):
with open(xml_books, mode, encoding="utf-8" if mode == "r" else None) as f:
next(f)
xml_obj = f.read()
if mode == "rb":
xml_obj = StringIO(xml_obj.decode())
elif mode == "r":
xml_obj = StringIO(xml_obj)
df_str = read_xml(xml_obj, parser=parser)
df_expected = DataFrame(
{
"category": ["cooking", "children", "web"],
"title": ["Everyday Italian", "Harry Potter", "Learning XML"],
"author": ["Giada De Laurentiis", "J K. Rowling", "Erik T. Ray"],
"year": [2005, 2005, 2003],
"price": [30.00, 29.99, 39.95],
}
)
tm.assert_frame_equal(df_str, df_expected)
def test_string_charset(parser):
txt = "<中文標籤><row><c1>1</c1><c2>2</c2></row></中文標籤>"
df_str = read_xml(StringIO(txt), parser=parser)
df_expected = DataFrame({"c1": 1, "c2": 2}, index=[0])
tm.assert_frame_equal(df_str, df_expected)
def test_file_charset(xml_doc_ch_utf, parser):
df_file = read_xml(xml_doc_ch_utf, parser=parser)
df_expected = DataFrame(
{
"問": [
"問 若箇是邪而言破邪 何者是正而道(Sorry, this is Big5 only)申正",
"問 既破有得申無得 亦應但破性執申假名以不",
"問 既破性申假 亦應但破有申無 若有無兩洗 亦應性假雙破耶",
],
"答": [
"".join(
[
"答 邪既無量 正亦多途 大略為言不出二種 謂",
"有得與無得 有得是邪須破 無得是正須申\n\t\t故",
]
),
None,
"答 不例 有無皆是性 所以須雙破 既分性假異 故有破不破",
],
"a": [
None,
"答 性執是有得 假名是無得 今破有得申無得 即是破性執申假名也",
None,
],
}
)
tm.assert_frame_equal(df_file, df_expected)
def test_file_handle_close(xml_books, parser):
with open(xml_books, "rb") as f:
read_xml(BytesIO(f.read()), parser=parser)
assert not f.closed
@pytest.mark.parametrize("val", ["", b""])
def test_empty_string_lxml(val):
lxml_etree = pytest.importorskip("lxml.etree")
msg = "|".join(
[
"Document is empty",
# Seen on Mac with lxml 4.91
r"None \(line 0\)",
]
)
with pytest.raises(lxml_etree.XMLSyntaxError, match=msg):
if isinstance(val, str):
read_xml(StringIO(val), parser="lxml")
else:
read_xml(BytesIO(val), parser="lxml")
@pytest.mark.parametrize("val", ["", b""])
def test_empty_string_etree(val):
with pytest.raises(ParseError, match="no element found"):
if isinstance(val, str):
read_xml(StringIO(val), parser="etree")
else:
read_xml(BytesIO(val), parser="etree")
def test_wrong_file_path(parser):
msg = (
"Passing literal xml to 'read_xml' is deprecated and "
"will be removed in a future version. To read from a "
"literal string, wrap it in a 'StringIO' object."
)
filename = os.path.join("data", "html", "books.xml")
with pytest.raises(
FutureWarning,
match=msg,
):
read_xml(filename, parser=parser)
@pytest.mark.network
@pytest.mark.single_cpu
def test_url(httpserver, xml_file):
pytest.importorskip("lxml")
with open(xml_file, encoding="utf-8") as f:
httpserver.serve_content(content=f.read())
df_url = read_xml(httpserver.url, xpath=".//book[count(*)=4]")
df_expected = DataFrame(
{
"category": ["cooking", "children", "web"],
"title": ["Everyday Italian", "Harry Potter", "Learning XML"],
"author": ["Giada De Laurentiis", "J K. Rowling", "Erik T. Ray"],
"year": [2005, 2005, 2003],
"price": [30.00, 29.99, 39.95],
}
)
tm.assert_frame_equal(df_url, df_expected)
@pytest.mark.network
@pytest.mark.single_cpu
def test_wrong_url(parser, httpserver):
httpserver.serve_content("NOT FOUND", code=404)
with pytest.raises(HTTPError, match=("HTTP Error 404: NOT FOUND")):
read_xml(httpserver.url, xpath=".//book[count(*)=4]", parser=parser)
# CONTENT
def test_whitespace(parser):
xml = """
<data>
<row sides=" 4 ">
<shape>
square
</shape>
<degrees>	360	</degrees>
</row>
<row sides=" 0 ">
<shape>
circle
</shape>
<degrees>	360	</degrees>
</row>
<row sides=" 3 ">
<shape>
triangle
</shape>
<degrees>	180	</degrees>
</row>
</data>"""
df_xpath = read_xml(StringIO(xml), parser=parser, dtype="string")
df_iter = read_xml_iterparse(
xml,
parser=parser,
iterparse={"row": ["sides", "shape", "degrees"]},
dtype="string",
)
df_expected = DataFrame(
{
"sides": [" 4 ", " 0 ", " 3 "],
"shape": [
"\n square\n ",
"\n circle\n ",
"\n triangle\n ",
],
"degrees": ["\t360\t", "\t360\t", "\t180\t"],
},
dtype="string",
)
tm.assert_frame_equal(df_xpath, df_expected)
tm.assert_frame_equal(df_iter, df_expected)
# XPATH
def test_empty_xpath_lxml(xml_books):
pytest.importorskip("lxml")
with pytest.raises(ValueError, match=("xpath does not return any nodes")):
read_xml(xml_books, xpath=".//python", parser="lxml")
def test_bad_xpath_etree(xml_books):
with pytest.raises(
SyntaxError, match=("You have used an incorrect or unsupported XPath")
):
read_xml(xml_books, xpath=".//[book]", parser="etree")
def test_bad_xpath_lxml(xml_books):
lxml_etree = pytest.importorskip("lxml.etree")
with pytest.raises(lxml_etree.XPathEvalError, match=("Invalid expression")):
read_xml(xml_books, xpath=".//[book]", parser="lxml")
# NAMESPACE
def test_default_namespace(parser):
df_nmsp = read_xml(
StringIO(xml_default_nmsp),
xpath=".//ns:row",
namespaces={"ns": "http://example.com"},
parser=parser,
)
df_iter = read_xml_iterparse(
xml_default_nmsp,
parser=parser,
iterparse={"row": ["shape", "degrees", "sides"]},
)
df_expected = DataFrame(
{
"shape": ["square", "circle", "triangle"],
"degrees": [360, 360, 180],
"sides": [4.0, float("nan"), 3.0],
}
)
tm.assert_frame_equal(df_nmsp, df_expected)
tm.assert_frame_equal(df_iter, df_expected)
def test_prefix_namespace(parser):
df_nmsp = read_xml(
StringIO(xml_prefix_nmsp),
xpath=".//doc:row",
namespaces={"doc": "http://example.com"},
parser=parser,
)
df_iter = read_xml_iterparse(
xml_prefix_nmsp, parser=parser, iterparse={"row": ["shape", "degrees", "sides"]}
)
df_expected = DataFrame(
{
"shape": ["square", "circle", "triangle"],
"degrees": [360, 360, 180],
"sides": [4.0, float("nan"), 3.0],
}
)
tm.assert_frame_equal(df_nmsp, df_expected)
tm.assert_frame_equal(df_iter, df_expected)
def test_consistency_default_namespace():
pytest.importorskip("lxml")
df_lxml = read_xml(
StringIO(xml_default_nmsp),
xpath=".//ns:row",
namespaces={"ns": "http://example.com"},
parser="lxml",
)
df_etree = read_xml(
StringIO(xml_default_nmsp),
xpath=".//doc:row",
namespaces={"doc": "http://example.com"},
parser="etree",
)
tm.assert_frame_equal(df_lxml, df_etree)
def test_consistency_prefix_namespace():
pytest.importorskip("lxml")
df_lxml = read_xml(
StringIO(xml_prefix_nmsp),
xpath=".//doc:row",
namespaces={"doc": "http://example.com"},
parser="lxml",
)
df_etree = read_xml(
StringIO(xml_prefix_nmsp),
xpath=".//doc:row",
namespaces={"doc": "http://example.com"},
parser="etree",
)
tm.assert_frame_equal(df_lxml, df_etree)
# PREFIX
def test_missing_prefix_with_default_namespace(xml_books, parser):
with pytest.raises(ValueError, match=("xpath does not return any nodes")):
read_xml(xml_books, xpath=".//Placemark", parser=parser)
def test_missing_prefix_definition_etree(kml_cta_rail_lines):
with pytest.raises(SyntaxError, match=("you used an undeclared namespace prefix")):
read_xml(kml_cta_rail_lines, xpath=".//kml:Placemark", parser="etree")
def test_missing_prefix_definition_lxml(kml_cta_rail_lines):
lxml_etree = pytest.importorskip("lxml.etree")
with pytest.raises(lxml_etree.XPathEvalError, match=("Undefined namespace prefix")):
read_xml(kml_cta_rail_lines, xpath=".//kml:Placemark", parser="lxml")
@pytest.mark.parametrize("key", ["", None])
def test_none_namespace_prefix(key):
pytest.importorskip("lxml")
with pytest.raises(
TypeError, match=("empty namespace prefix is not supported in XPath")
):
read_xml(
StringIO(xml_default_nmsp),
xpath=".//kml:Placemark",
namespaces={key: "http://www.opengis.net/kml/2.2"},
parser="lxml",
)
# ELEMS AND ATTRS
def test_file_elems_and_attrs(xml_books, parser):
df_file = read_xml(xml_books, parser=parser)
df_iter = read_xml(
xml_books,
parser=parser,
iterparse={"book": ["category", "title", "author", "year", "price"]},
)
df_expected = DataFrame(
{
"category": ["cooking", "children", "web"],
"title": ["Everyday Italian", "Harry Potter", "Learning XML"],
"author": ["Giada De Laurentiis", "J K. Rowling", "Erik T. Ray"],
"year": [2005, 2005, 2003],
"price": [30.00, 29.99, 39.95],
}
)
tm.assert_frame_equal(df_file, df_expected)
tm.assert_frame_equal(df_iter, df_expected)
def test_file_only_attrs(xml_books, parser):
df_file = read_xml(xml_books, attrs_only=True, parser=parser)
df_iter = read_xml(xml_books, parser=parser, iterparse={"book": ["category"]})
df_expected = DataFrame({"category": ["cooking", "children", "web"]})
tm.assert_frame_equal(df_file, df_expected)
tm.assert_frame_equal(df_iter, df_expected)
def test_file_only_elems(xml_books, parser):
df_file = read_xml(xml_books, elems_only=True, parser=parser)
df_iter = read_xml(
xml_books,
parser=parser,
iterparse={"book": ["title", "author", "year", "price"]},
)
df_expected = DataFrame(
{
"title": ["Everyday Italian", "Harry Potter", "Learning XML"],
"author": ["Giada De Laurentiis", "J K. Rowling", "Erik T. Ray"],
"year": [2005, 2005, 2003],
"price": [30.00, 29.99, 39.95],
}
)
tm.assert_frame_equal(df_file, df_expected)
tm.assert_frame_equal(df_iter, df_expected)
def test_elem_and_attrs_only(kml_cta_rail_lines, parser):
with pytest.raises(
ValueError,
match=("Either element or attributes can be parsed not both"),
):
read_xml(kml_cta_rail_lines, elems_only=True, attrs_only=True, parser=parser)
def test_empty_attrs_only(parser):
xml = """
<data>
<row>
<shape sides="4">square</shape>
<degrees>360</degrees>
</row>
<row>
<shape sides="0">circle</shape>
<degrees>360</degrees>
</row>
<row>
<shape sides="3">triangle</shape>
<degrees>180</degrees>
</row>
</data>"""
with pytest.raises(
ValueError,
match=("xpath does not return any nodes or attributes"),
):
read_xml(StringIO(xml), xpath="./row", attrs_only=True, parser=parser)
def test_empty_elems_only(parser):
xml = """
<data>
<row sides="4" shape="square" degrees="360"/>
<row sides="0" shape="circle" degrees="360"/>
<row sides="3" shape="triangle" degrees="180"/>
</data>"""
with pytest.raises(
ValueError,
match=("xpath does not return any nodes or attributes"),
):
read_xml(StringIO(xml), xpath="./row", elems_only=True, parser=parser)
def test_attribute_centric_xml():
pytest.importorskip("lxml")
xml = """\
<?xml version="1.0" encoding="UTF-8"?>
<TrainSchedule>
<Stations>
<station Name="Manhattan" coords="31,460,195,498"/>
<station Name="Laraway Road" coords="63,409,194,455"/>
<station Name="179th St (Orland Park)" coords="0,364,110,395"/>
<station Name="153rd St (Orland Park)" coords="7,333,113,362"/>
<station Name="143rd St (Orland Park)" coords="17,297,115,330"/>
<station Name="Palos Park" coords="128,281,239,303"/>
<station Name="Palos Heights" coords="148,257,283,279"/>
<station Name="Worth" coords="170,230,248,255"/>
<station Name="Chicago Ridge" coords="70,187,208,214"/>
<station Name="Oak Lawn" coords="166,159,266,185"/>
<station Name="Ashburn" coords="197,133,336,157"/>
<station Name="Wrightwood" coords="219,106,340,133"/>
<station Name="Chicago Union Sta" coords="220,0,360,43"/>
</Stations>
</TrainSchedule>"""
df_lxml = read_xml(StringIO(xml), xpath=".//station")
df_etree = read_xml(StringIO(xml), xpath=".//station", parser="etree")
df_iter_lx = read_xml_iterparse(xml, iterparse={"station": ["Name", "coords"]})
df_iter_et = read_xml_iterparse(
xml, parser="etree", iterparse={"station": ["Name", "coords"]}
)
tm.assert_frame_equal(df_lxml, df_etree)
tm.assert_frame_equal(df_iter_lx, df_iter_et)
# NAMES
def test_names_option_output(xml_books, parser):
df_file = read_xml(
xml_books, names=["Col1", "Col2", "Col3", "Col4", "Col5"], parser=parser
)
df_iter = read_xml(
xml_books,
parser=parser,
names=["Col1", "Col2", "Col3", "Col4", "Col5"],
iterparse={"book": ["category", "title", "author", "year", "price"]},
)
df_expected = DataFrame(
{
"Col1": ["cooking", "children", "web"],
"Col2": ["Everyday Italian", "Harry Potter", "Learning XML"],
"Col3": ["Giada De Laurentiis", "J K. Rowling", "Erik T. Ray"],
"Col4": [2005, 2005, 2003],
"Col5": [30.00, 29.99, 39.95],
}
)
tm.assert_frame_equal(df_file, df_expected)
tm.assert_frame_equal(df_iter, df_expected)
def test_repeat_names(parser):
xml = """\
<shapes>
<shape type="2D">
<name>circle</name>
<type>curved</type>
</shape>
<shape type="3D">
<name>sphere</name>
<type>curved</type>
</shape>
</shapes>"""
df_xpath = read_xml(
StringIO(xml),
xpath=".//shape",
parser=parser,
names=["type_dim", "shape", "type_edge"],
)
df_iter = read_xml_iterparse(
xml,
parser=parser,
iterparse={"shape": ["type", "name", "type"]},
names=["type_dim", "shape", "type_edge"],
)
df_expected = DataFrame(
{
"type_dim": ["2D", "3D"],
"shape": ["circle", "sphere"],
"type_edge": ["curved", "curved"],
}
)
tm.assert_frame_equal(df_xpath, df_expected)
tm.assert_frame_equal(df_iter, df_expected)
def test_repeat_values_new_names(parser):
xml = """\
<shapes>
<shape>
<name>rectangle</name>
<family>rectangle</family>
</shape>
<shape>
<name>square</name>
<family>rectangle</family>
</shape>
<shape>
<name>ellipse</name>
<family>ellipse</family>
</shape>
<shape>
<name>circle</name>
<family>ellipse</family>
</shape>
</shapes>"""
df_xpath = read_xml(
StringIO(xml), xpath=".//shape", parser=parser, names=["name", "group"]
)
df_iter = read_xml_iterparse(
xml,
parser=parser,
iterparse={"shape": ["name", "family"]},
names=["name", "group"],
)
df_expected = DataFrame(
{
"name": ["rectangle", "square", "ellipse", "circle"],
"group": ["rectangle", "rectangle", "ellipse", "ellipse"],
}
)
tm.assert_frame_equal(df_xpath, df_expected)
tm.assert_frame_equal(df_iter, df_expected)
def test_repeat_elements(parser):
xml = """\
<shapes>
<shape>
<value item="name">circle</value>
<value item="family">ellipse</value>
<value item="degrees">360</value>
<value item="sides">0</value>
</shape>
<shape>
<value item="name">triangle</value>
<value item="family">polygon</value>
<value item="degrees">180</value>
<value item="sides">3</value>
</shape>
<shape>
<value item="name">square</value>
<value item="family">polygon</value>
<value item="degrees">360</value>
<value item="sides">4</value>
</shape>
</shapes>"""
df_xpath = read_xml(
StringIO(xml),
xpath=".//shape",
parser=parser,
names=["name", "family", "degrees", "sides"],
)
df_iter = read_xml_iterparse(
xml,
parser=parser,
iterparse={"shape": ["value", "value", "value", "value"]},
names=["name", "family", "degrees", "sides"],
)
df_expected = DataFrame(
{
"name": ["circle", "triangle", "square"],
"family": ["ellipse", "polygon", "polygon"],
"degrees": [360, 180, 360],
"sides": [0, 3, 4],
}
)
tm.assert_frame_equal(df_xpath, df_expected)
tm.assert_frame_equal(df_iter, df_expected)
def test_names_option_wrong_length(xml_books, parser):
with pytest.raises(ValueError, match=("names does not match length")):
read_xml(xml_books, names=["Col1", "Col2", "Col3"], parser=parser)
def test_names_option_wrong_type(xml_books, parser):
with pytest.raises(TypeError, match=("is not a valid type for names")):
read_xml(xml_books, names="Col1, Col2, Col3", parser=parser)
# ENCODING
def test_wrong_encoding(xml_baby_names, parser):
with pytest.raises(UnicodeDecodeError, match=("'utf-8' codec can't decode")):
read_xml(xml_baby_names, parser=parser)
def test_utf16_encoding(xml_baby_names, parser):
with pytest.raises(
UnicodeError,
match=(
"UTF-16 stream does not start with BOM|"
"'utf-16(-le)?' codec can't decode byte"
),
):
read_xml(xml_baby_names, encoding="UTF-16", parser=parser)
def test_unknown_encoding(xml_baby_names, parser):
with pytest.raises(LookupError, match=("unknown encoding: UFT-8")):
read_xml(xml_baby_names, encoding="UFT-8", parser=parser)
def test_ascii_encoding(xml_baby_names, parser):
with pytest.raises(UnicodeDecodeError, match=("'ascii' codec can't decode byte")):
read_xml(xml_baby_names, encoding="ascii", parser=parser)
def test_parser_consistency_with_encoding(xml_baby_names):
pytest.importorskip("lxml")
df_xpath_lxml = read_xml(xml_baby_names, parser="lxml", encoding="ISO-8859-1")
df_xpath_etree = read_xml(xml_baby_names, parser="etree", encoding="iso-8859-1")
df_iter_lxml = read_xml(
xml_baby_names,
parser="lxml",
encoding="ISO-8859-1",
iterparse={"row": ["rank", "malename", "femalename"]},
)
df_iter_etree = read_xml(
xml_baby_names,
parser="etree",
encoding="ISO-8859-1",
iterparse={"row": ["rank", "malename", "femalename"]},
)
tm.assert_frame_equal(df_xpath_lxml, df_xpath_etree)
tm.assert_frame_equal(df_xpath_etree, df_iter_etree)
tm.assert_frame_equal(df_iter_lxml, df_iter_etree)
def test_wrong_encoding_for_lxml():
pytest.importorskip("lxml")
# GH#45133
data = """<data>
<row>
<a>c</a>
</row>
</data>
"""
with pytest.raises(TypeError, match="encoding None"):
read_xml(StringIO(data), parser="lxml", encoding=None)
def test_none_encoding_etree():
# GH#45133
data = """<data>
<row>
<a>c</a>
</row>
</data>
"""
result = read_xml(StringIO(data), parser="etree", encoding=None)
expected = DataFrame({"a": ["c"]})
tm.assert_frame_equal(result, expected)
# PARSER
@td.skip_if_installed("lxml")
def test_default_parser_no_lxml(xml_books):
with pytest.raises(
ImportError, match=("lxml not found, please install or use the etree parser.")
):
read_xml(xml_books)
def test_wrong_parser(xml_books):
with pytest.raises(
ValueError, match=("Values for parser can only be lxml or etree.")
):
read_xml(xml_books, parser="bs4")
# STYLESHEET
def test_stylesheet_file(kml_cta_rail_lines, xsl_flatten_doc):
pytest.importorskip("lxml")
df_style = read_xml(
kml_cta_rail_lines,
xpath=".//k:Placemark",
namespaces={"k": "http://www.opengis.net/kml/2.2"},
stylesheet=xsl_flatten_doc,
)
df_iter = read_xml(
kml_cta_rail_lines,
iterparse={
"Placemark": [
"id",
"name",
"styleUrl",
"extrude",
"altitudeMode",
"coordinates",
]
},
)
tm.assert_frame_equal(df_kml, df_style)
tm.assert_frame_equal(df_kml, df_iter)
def test_stylesheet_file_like(kml_cta_rail_lines, xsl_flatten_doc, mode):
pytest.importorskip("lxml")
with open(xsl_flatten_doc, mode, encoding="utf-8" if mode == "r" else None) as f:
df_style = read_xml(
kml_cta_rail_lines,
xpath=".//k:Placemark",
namespaces={"k": "http://www.opengis.net/kml/2.2"},
stylesheet=f,
)
tm.assert_frame_equal(df_kml, df_style)
def test_stylesheet_io(kml_cta_rail_lines, xsl_flatten_doc, mode):
# note: By default the bodies of untyped functions are not checked,
# consider using --check-untyped-defs
pytest.importorskip("lxml")
xsl_obj: BytesIO | StringIO # type: ignore[annotation-unchecked]
with open(xsl_flatten_doc, mode, encoding="utf-8" if mode == "r" else None) as f:
if mode == "rb":
xsl_obj = BytesIO(f.read())
else:
xsl_obj = StringIO(f.read())
df_style = read_xml(
kml_cta_rail_lines,
xpath=".//k:Placemark",
namespaces={"k": "http://www.opengis.net/kml/2.2"},
stylesheet=xsl_obj,
)
tm.assert_frame_equal(df_kml, df_style)
def test_stylesheet_buffered_reader(kml_cta_rail_lines, xsl_flatten_doc, mode):
pytest.importorskip("lxml")
with open(xsl_flatten_doc, mode, encoding="utf-8" if mode == "r" else None) as f:
xsl_obj = f.read()
df_style = read_xml(
kml_cta_rail_lines,
xpath=".//k:Placemark",
namespaces={"k": "http://www.opengis.net/kml/2.2"},
stylesheet=xsl_obj,
)
tm.assert_frame_equal(df_kml, df_style)
def test_style_charset():
pytest.importorskip("lxml")
xml = "<中文標籤><row><c1>1</c1><c2>2</c2></row></中文標籤>"
xsl = """\
<xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform">
<xsl:output omit-xml-declaration="yes" indent="yes"/>
<xsl:strip-space elements="*"/>
<xsl:template match="node()|@*">
<xsl:copy>
<xsl:apply-templates select="node()|@*"/>
</xsl:copy>
</xsl:template>
<xsl:template match="中文標籤">
<根>
<xsl:apply-templates />
</根>
</xsl:template>
</xsl:stylesheet>"""
df_orig = read_xml(StringIO(xml))
df_style = read_xml(StringIO(xml), stylesheet=xsl)
tm.assert_frame_equal(df_orig, df_style)
def test_not_stylesheet(kml_cta_rail_lines, xml_books):
lxml_etree = pytest.importorskip("lxml.etree")
with pytest.raises(
lxml_etree.XSLTParseError, match=("document is not a stylesheet")
):
read_xml(kml_cta_rail_lines, stylesheet=xml_books)
def test_incorrect_xsl_syntax(kml_cta_rail_lines):
lxml_etree = pytest.importorskip("lxml.etree")
xsl = """\
<xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform"
xmlns:k="http://www.opengis.net/kml/2.2"/>
<xsl:output method="xml" omit-xml-declaration="yes"
cdata-section-elements="k:description" indent="yes"/>
<xsl:strip-space elements="*"/>
<xsl:template match="node()|@*">
<xsl:copy>
<xsl:apply-templates select="node()|@*"/>
</xsl:copy>
</xsl:template>
<xsl:template match="k:MultiGeometry|k:LineString">
<xsl:apply-templates select='*'/>
</xsl:template>
<xsl:template match="k:description|k:Snippet|k:Style"/>
</xsl:stylesheet>"""
with pytest.raises(
lxml_etree.XMLSyntaxError, match=("Extra content at the end of the document")
):
read_xml(kml_cta_rail_lines, stylesheet=xsl)
def test_incorrect_xsl_eval(kml_cta_rail_lines):
lxml_etree = pytest.importorskip("lxml.etree")
xsl = """\
<xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform"
xmlns:k="http://www.opengis.net/kml/2.2">
<xsl:output method="xml" omit-xml-declaration="yes"
cdata-section-elements="k:description" indent="yes"/>
<xsl:strip-space elements="*"/>
<xsl:template match="node(*)|@*">
<xsl:copy>
<xsl:apply-templates select="node()|@*"/>
</xsl:copy>
</xsl:template>
<xsl:template match="k:MultiGeometry|k:LineString">
<xsl:apply-templates select='*'/>
</xsl:template>
<xsl:template match="k:description|k:Snippet|k:Style"/>
</xsl:stylesheet>"""
with pytest.raises(lxml_etree.XSLTParseError, match=("failed to compile")):
read_xml(kml_cta_rail_lines, stylesheet=xsl)
def test_incorrect_xsl_apply(kml_cta_rail_lines):
lxml_etree = pytest.importorskip("lxml.etree")
xsl = """\
<xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform">
<xsl:output method="xml" encoding="utf-8" indent="yes" />
<xsl:strip-space elements="*"/>
<xsl:template match="@*|node()">
<xsl:copy>
<xsl:copy-of select="document('non_existent.xml')/*"/>
</xsl:copy>
</xsl:template>
</xsl:stylesheet>"""
with pytest.raises(lxml_etree.XSLTApplyError, match=("Cannot resolve URI")):
read_xml(kml_cta_rail_lines, stylesheet=xsl)
def test_wrong_stylesheet(kml_cta_rail_lines, xml_data_path):
xml_etree = pytest.importorskip("lxml.etree")
xsl = xml_data_path / "flatten.xsl"
with pytest.raises(
xml_etree.XMLSyntaxError,
match=("Start tag expected, '<' not found"),
):
read_xml(kml_cta_rail_lines, stylesheet=xsl)
def test_stylesheet_file_close(kml_cta_rail_lines, xsl_flatten_doc, mode):
# note: By default the bodies of untyped functions are not checked,
# consider using --check-untyped-defs
pytest.importorskip("lxml")
xsl_obj: BytesIO | StringIO # type: ignore[annotation-unchecked]
with open(xsl_flatten_doc, mode, encoding="utf-8" if mode == "r" else None) as f:
if mode == "rb":
xsl_obj = BytesIO(f.read())
else:
xsl_obj = StringIO(f.read())
read_xml(kml_cta_rail_lines, stylesheet=xsl_obj)
assert not f.closed
def test_stylesheet_with_etree(kml_cta_rail_lines, xsl_flatten_doc):
pytest.importorskip("lxml")
with pytest.raises(
ValueError, match=("To use stylesheet, you need lxml installed")
):
read_xml(kml_cta_rail_lines, parser="etree", stylesheet=xsl_flatten_doc)
@pytest.mark.parametrize("val", ["", b""])
def test_empty_stylesheet(val):
pytest.importorskip("lxml")
msg = (
"Passing literal xml to 'read_xml' is deprecated and "
"will be removed in a future version. To read from a "
"literal string, wrap it in a 'StringIO' object."
)
kml = os.path.join("data", "xml", "cta_rail_lines.kml")
with pytest.raises(FutureWarning, match=msg):
read_xml(kml, stylesheet=val)
# ITERPARSE
def test_file_like_iterparse(xml_books, parser, mode):
with open(xml_books, mode, encoding="utf-8" if mode == "r" else None) as f:
if mode == "r" and parser == "lxml":
with pytest.raises(
TypeError, match=("reading file objects must return bytes objects")
):
read_xml(
f,
parser=parser,
iterparse={
"book": ["category", "title", "year", "author", "price"]
},
)
return None
else:
df_filelike = read_xml(
f,
parser=parser,
iterparse={"book": ["category", "title", "year", "author", "price"]},
)
df_expected = DataFrame(
{
"category": ["cooking", "children", "web"],
"title": ["Everyday Italian", "Harry Potter", "Learning XML"],
"author": ["Giada De Laurentiis", "J K. Rowling", "Erik T. Ray"],
"year": [2005, 2005, 2003],
"price": [30.00, 29.99, 39.95],
}
)
tm.assert_frame_equal(df_filelike, df_expected)
def test_file_io_iterparse(xml_books, parser, mode):
funcIO = StringIO if mode == "r" else BytesIO
with open(
xml_books,
mode,
encoding="utf-8" if mode == "r" else None,
) as f:
with funcIO(f.read()) as b:
if mode == "r" and parser == "lxml":
with pytest.raises(
TypeError, match=("reading file objects must return bytes objects")
):
read_xml(
b,
parser=parser,
iterparse={
"book": ["category", "title", "year", "author", "price"]
},
)
return None
else:
df_fileio = read_xml(
b,
parser=parser,
iterparse={
"book": ["category", "title", "year", "author", "price"]
},
)
df_expected = DataFrame(
{
"category": ["cooking", "children", "web"],
"title": ["Everyday Italian", "Harry Potter", "Learning XML"],
"author": ["Giada De Laurentiis", "J K. Rowling", "Erik T. Ray"],
"year": [2005, 2005, 2003],
"price": [30.00, 29.99, 39.95],
}
)
tm.assert_frame_equal(df_fileio, df_expected)
@pytest.mark.network
@pytest.mark.single_cpu
def test_url_path_error(parser, httpserver, xml_file):
with open(xml_file, encoding="utf-8") as f:
httpserver.serve_content(content=f.read())
with pytest.raises(
ParserError, match=("iterparse is designed for large XML files")
):
read_xml(
httpserver.url,
parser=parser,
iterparse={"row": ["shape", "degrees", "sides", "date"]},
)
def test_compression_error(parser, compression_only):
with tm.ensure_clean(filename="geom_xml.zip") as path:
geom_df.to_xml(path, parser=parser, compression=compression_only)
with pytest.raises(
ParserError, match=("iterparse is designed for large XML files")
):
read_xml(
path,
parser=parser,
iterparse={"row": ["shape", "degrees", "sides", "date"]},
compression=compression_only,
)
def test_wrong_dict_type(xml_books, parser):
with pytest.raises(TypeError, match="list is not a valid type for iterparse"):
read_xml(
xml_books,
parser=parser,
iterparse=["category", "title", "year", "author", "price"],
)
def test_wrong_dict_value(xml_books, parser):
with pytest.raises(
TypeError, match="<class 'str'> is not a valid type for value in iterparse"
):
read_xml(xml_books, parser=parser, iterparse={"book": "category"})
def test_bad_xml(parser):
bad_xml = """\
<?xml version='1.0' encoding='utf-8'?>
<row>
<shape>square</shape>
<degrees>00360</degrees>
<sides>4.0</sides>
<date>2020-01-01</date>
</row>
<row>
<shape>circle</shape>
<degrees>00360</degrees>
<sides/>
<date>2021-01-01</date>
</row>
<row>
<shape>triangle</shape>
<degrees>00180</degrees>
<sides>3.0</sides>
<date>2022-01-01</date>
</row>
"""
with tm.ensure_clean(filename="bad.xml") as path:
with open(path, "w", encoding="utf-8") as f:
f.write(bad_xml)
with pytest.raises(
SyntaxError,
match=(
"Extra content at the end of the document|"
"junk after document element"
),
):
read_xml(
path,
parser=parser,
parse_dates=["date"],
iterparse={"row": ["shape", "degrees", "sides", "date"]},
)
def test_comment(parser):
xml = """\
<!-- comment before root -->
<shapes>
<!-- comment within root -->
<shape>
<name>circle</name>
<type>2D</type>
</shape>
<shape>
<name>sphere</name>
<type>3D</type>
<!-- comment within child -->
</shape>
<!-- comment within root -->
</shapes>
<!-- comment after root -->"""
df_xpath = read_xml(StringIO(xml), xpath=".//shape", parser=parser)
df_iter = read_xml_iterparse(
xml, parser=parser, iterparse={"shape": ["name", "type"]}
)
df_expected = DataFrame(
{
"name": ["circle", "sphere"],
"type": ["2D", "3D"],
}
)
tm.assert_frame_equal(df_xpath, df_expected)
tm.assert_frame_equal(df_iter, df_expected)
def test_dtd(parser):
xml = """\
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE non-profits [
<!ELEMENT shapes (shape*) >
<!ELEMENT shape ( name, type )>
<!ELEMENT name (#PCDATA)>
]>
<shapes>
<shape>
<name>circle</name>
<type>2D</type>
</shape>
<shape>
<name>sphere</name>
<type>3D</type>
</shape>
</shapes>"""
df_xpath = read_xml(StringIO(xml), xpath=".//shape", parser=parser)
df_iter = read_xml_iterparse(
xml, parser=parser, iterparse={"shape": ["name", "type"]}
)
df_expected = DataFrame(
{
"name": ["circle", "sphere"],
"type": ["2D", "3D"],
}
)
tm.assert_frame_equal(df_xpath, df_expected)
tm.assert_frame_equal(df_iter, df_expected)
def test_processing_instruction(parser):
xml = """\
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="style.xsl"?>
<?display table-view?>
<?sort alpha-ascending?>
<?textinfo whitespace is allowed ?>
<?elementnames <shape>, <name>, <type> ?>
<shapes>
<shape>
<name>circle</name>
<type>2D</type>
</shape>
<shape>
<name>sphere</name>
<type>3D</type>
</shape>
</shapes>"""
df_xpath = read_xml(StringIO(xml), xpath=".//shape", parser=parser)
df_iter = read_xml_iterparse(
xml, parser=parser, iterparse={"shape": ["name", "type"]}
)
df_expected = DataFrame(
{
"name": ["circle", "sphere"],
"type": ["2D", "3D"],
}
)
tm.assert_frame_equal(df_xpath, df_expected)
tm.assert_frame_equal(df_iter, df_expected)
def test_no_result(xml_books, parser):
with pytest.raises(
ParserError, match="No result from selected items in iterparse."
):
read_xml(
xml_books,
parser=parser,
iterparse={"node": ["attr1", "elem1", "elem2", "elem3"]},
)
def test_empty_data(xml_books, parser):
with pytest.raises(EmptyDataError, match="No columns to parse from file"):
read_xml(
xml_books,
parser=parser,
iterparse={"book": ["attr1", "elem1", "elem2", "elem3"]},
)
def test_online_stylesheet():
pytest.importorskip("lxml")
xml = """\
<?xml version="1.0" encoding="UTF-8"?>
<catalog>
<cd>
<title>Empire Burlesque</title>
<artist>Bob Dylan</artist>
<country>USA</country>
<company>Columbia</company>
<price>10.90</price>
<year>1985</year>
</cd>
<cd>
<title>Hide your heart</title>
<artist>Bonnie Tyler</artist>
<country>UK</country>
<company>CBS Records</company>
<price>9.90</price>
<year>1988</year>
</cd>
<cd>
<title>Greatest Hits</title>
<artist>Dolly Parton</artist>
<country>USA</country>
<company>RCA</company>
<price>9.90</price>
<year>1982</year>
</cd>
<cd>
<title>Still got the blues</title>
<artist>Gary Moore</artist>
<country>UK</country>
<company>Virgin records</company>
<price>10.20</price>
<year>1990</year>
</cd>
<cd>
<title>Eros</title>
<artist>Eros Ramazzotti</artist>
<country>EU</country>
<company>BMG</company>
<price>9.90</price>
<year>1997</year>
</cd>
<cd>
<title>One night only</title>
<artist>Bee Gees</artist>
<country>UK</country>
<company>Polydor</company>
<price>10.90</price>
<year>1998</year>
</cd>
<cd>
<title>Sylvias Mother</title>
<artist>Dr.Hook</artist>
<country>UK</country>
<company>CBS</company>
<price>8.10</price>
<year>1973</year>
</cd>
<cd>
<title>Maggie May</title>
<artist>Rod Stewart</artist>
<country>UK</country>
<company>Pickwick</company>
<price>8.50</price>
<year>1990</year>
</cd>
<cd>
<title>Romanza</title>
<artist>Andrea Bocelli</artist>
<country>EU</country>
<company>Polydor</company>
<price>10.80</price>
<year>1996</year>
</cd>
<cd>
<title>When a man loves a woman</title>
<artist>Percy Sledge</artist>
<country>USA</country>
<company>Atlantic</company>
<price>8.70</price>
<year>1987</year>
</cd>
<cd>
<title>Black angel</title>
<artist>Savage Rose</artist>
<country>EU</country>
<company>Mega</company>
<price>10.90</price>
<year>1995</year>
</cd>
<cd>
<title>1999 Grammy Nominees</title>
<artist>Many</artist>
<country>USA</country>
<company>Grammy</company>
<price>10.20</price>
<year>1999</year>
</cd>
<cd>
<title>For the good times</title>
<artist>Kenny Rogers</artist>
<country>UK</country>
<company>Mucik Master</company>
<price>8.70</price>
<year>1995</year>
</cd>
<cd>
<title>Big Willie style</title>
<artist>Will Smith</artist>
<country>USA</country>
<company>Columbia</company>
<price>9.90</price>
<year>1997</year>
</cd>
<cd>
<title>Tupelo Honey</title>
<artist>Van Morrison</artist>
<country>UK</country>
<company>Polydor</company>
<price>8.20</price>
<year>1971</year>
</cd>
<cd>
<title>Soulsville</title>
<artist>Jorn Hoel</artist>
<country>Norway</country>
<company>WEA</company>
<price>7.90</price>
<year>1996</year>
</cd>
<cd>
<title>The very best of</title>
<artist>Cat Stevens</artist>
<country>UK</country>
<company>Island</company>
<price>8.90</price>
<year>1990</year>
</cd>
<cd>
<title>Stop</title>
<artist>Sam Brown</artist>
<country>UK</country>
<company>A and M</company>
<price>8.90</price>
<year>1988</year>
</cd>
<cd>
<title>Bridge of Spies</title>
<artist>T`Pau</artist>
<country>UK</country>
<company>Siren</company>
<price>7.90</price>
<year>1987</year>
</cd>
<cd>
<title>Private Dancer</title>
<artist>Tina Turner</artist>
<country>UK</country>
<company>Capitol</company>
<price>8.90</price>
<year>1983</year>
</cd>
<cd>
<title>Midt om natten</title>
<artist>Kim Larsen</artist>
<country>EU</country>
<company>Medley</company>
<price>7.80</price>
<year>1983</year>
</cd>
<cd>
<title>Pavarotti Gala Concert</title>
<artist>Luciano Pavarotti</artist>
<country>UK</country>
<company>DECCA</company>
<price>9.90</price>
<year>1991</year>
</cd>
<cd>
<title>The dock of the bay</title>
<artist>Otis Redding</artist>
<country>USA</country>
<COMPANY>Stax Records</COMPANY>
<PRICE>7.90</PRICE>
<YEAR>1968</YEAR>
</cd>
<cd>
<title>Picture book</title>
<artist>Simply Red</artist>
<country>EU</country>
<company>Elektra</company>
<price>7.20</price>
<year>1985</year>
</cd>
<cd>
<title>Red</title>
<artist>The Communards</artist>
<country>UK</country>
<company>London</company>
<price>7.80</price>
<year>1987</year>
</cd>
<cd>
<title>Unchain my heart</title>
<artist>Joe Cocker</artist>
<country>USA</country>
<company>EMI</company>
<price>8.20</price>
<year>1987</year>
</cd>
</catalog>
"""
xsl = """\
<?xml version="1.0" encoding="UTF-8"?>
<xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform">
<xsl:template match="/">
<html>
<body>
<h2>My CD Collection</h2>
<table border="1">
<tr bgcolor="#9acd32">
<th style="text-align:left">Title</th>
<th style="text-align:left">Artist</th>
</tr>
<xsl:for-each select="catalog/cd">
<tr>
<td><xsl:value-of select="title"/></td>
<td><xsl:value-of select="artist"/></td>
</tr>
</xsl:for-each>
</table>
</body>
</html>
</xsl:template>
</xsl:stylesheet>
"""
df_xsl = read_xml(
StringIO(xml),
xpath=".//tr[td and position() <= 6]",
names=["title", "artist"],
stylesheet=xsl,
)
df_expected = DataFrame(
{
"title": {
0: "Empire Burlesque",
1: "Hide your heart",
2: "Greatest Hits",
3: "Still got the blues",
4: "Eros",
},
"artist": {
0: "Bob Dylan",
1: "Bonnie Tyler",
2: "Dolly Parton",
3: "Gary Moore",
4: "Eros Ramazzotti",
},
}
)
tm.assert_frame_equal(df_expected, df_xsl)
# COMPRESSION
def test_compression_read(parser, compression_only):
with tm.ensure_clean() as comp_path:
geom_df.to_xml(
comp_path, index=False, parser=parser, compression=compression_only
)
df_xpath = read_xml(comp_path, parser=parser, compression=compression_only)
df_iter = read_xml_iterparse_comp(
comp_path,
compression_only,
parser=parser,
iterparse={"row": ["shape", "degrees", "sides"]},
compression=compression_only,
)
tm.assert_frame_equal(df_xpath, geom_df)
tm.assert_frame_equal(df_iter, geom_df)
def test_wrong_compression(parser, compression, compression_only):
actual_compression = compression
attempted_compression = compression_only
if actual_compression == attempted_compression:
pytest.skip(f"{actual_compression} == {attempted_compression}")
errors = {
"bz2": (OSError, "Invalid data stream"),
"gzip": (OSError, "Not a gzipped file"),
"zip": (BadZipFile, "File is not a zip file"),
"tar": (ReadError, "file could not be opened successfully"),
}
zstd = import_optional_dependency("zstandard", errors="ignore")
if zstd is not None:
errors["zstd"] = (zstd.ZstdError, "Unknown frame descriptor")
lzma = import_optional_dependency("lzma", errors="ignore")
if lzma is not None:
errors["xz"] = (LZMAError, "Input format not supported by decoder")
error_cls, error_str = errors[attempted_compression]
with tm.ensure_clean() as path:
geom_df.to_xml(path, parser=parser, compression=actual_compression)
with pytest.raises(error_cls, match=error_str):
read_xml(path, parser=parser, compression=attempted_compression)
def test_unsuported_compression(parser):
with pytest.raises(ValueError, match="Unrecognized compression type"):
with tm.ensure_clean() as path:
read_xml(path, parser=parser, compression="7z")
# STORAGE OPTIONS
@pytest.mark.network
@pytest.mark.single_cpu
def test_s3_parser_consistency(s3_public_bucket_with_data, s3so):
pytest.importorskip("s3fs")
pytest.importorskip("lxml")
s3 = f"s3://{s3_public_bucket_with_data.name}/books.xml"
df_lxml = read_xml(s3, parser="lxml", storage_options=s3so)
df_etree = read_xml(s3, parser="etree", storage_options=s3so)
tm.assert_frame_equal(df_lxml, df_etree)
def test_read_xml_nullable_dtypes(
parser, string_storage, dtype_backend, using_infer_string
):
# GH#50500
data = """<?xml version='1.0' encoding='utf-8'?>
<data xmlns="http://example.com">
<row>
<a>x</a>
<b>1</b>
<c>4.0</c>
<d>x</d>
<e>2</e>
<f>4.0</f>
<g></g>
<h>True</h>
<i>False</i>
</row>
<row>
<a>y</a>
<b>2</b>
<c>5.0</c>
<d></d>
<e></e>
<f></f>
<g></g>
<h>False</h>
<i></i>
</row>
</data>"""
if using_infer_string:
pa = pytest.importorskip("pyarrow")
string_array = ArrowStringArrayNumpySemantics(pa.array(["x", "y"]))
string_array_na = ArrowStringArrayNumpySemantics(pa.array(["x", None]))
elif string_storage == "python":
string_array = StringArray(np.array(["x", "y"], dtype=np.object_))
string_array_na = StringArray(np.array(["x", NA], dtype=np.object_))
elif dtype_backend == "pyarrow":
pa = pytest.importorskip("pyarrow")
from pandas.arrays import ArrowExtensionArray
string_array = ArrowExtensionArray(pa.array(["x", "y"]))
string_array_na = ArrowExtensionArray(pa.array(["x", None]))
else:
pa = pytest.importorskip("pyarrow")
string_array = ArrowStringArray(pa.array(["x", "y"]))
string_array_na = ArrowStringArray(pa.array(["x", None]))
with pd.option_context("mode.string_storage", string_storage):
result = read_xml(StringIO(data), parser=parser, dtype_backend=dtype_backend)
expected = DataFrame(
{
"a": string_array,
"b": Series([1, 2], dtype="Int64"),
"c": Series([4.0, 5.0], dtype="Float64"),
"d": string_array_na,
"e": Series([2, NA], dtype="Int64"),
"f": Series([4.0, NA], dtype="Float64"),
"g": Series([NA, NA], dtype="Int64"),
"h": Series([True, False], dtype="boolean"),
"i": Series([False, NA], dtype="boolean"),
}
)
if dtype_backend == "pyarrow":
pa = pytest.importorskip("pyarrow")
from pandas.arrays import ArrowExtensionArray
expected = DataFrame(
{
col: ArrowExtensionArray(pa.array(expected[col], from_pandas=True))
for col in expected.columns
}
)
expected["g"] = ArrowExtensionArray(pa.array([None, None]))
tm.assert_frame_equal(result, expected)
def test_invalid_dtype_backend():
msg = (
"dtype_backend numpy is invalid, only 'numpy_nullable' and "
"'pyarrow' are allowed."
)
with pytest.raises(ValueError, match=msg):
read_xml("test", dtype_backend="numpy")
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