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test_excel.py
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from collections import OrderedDict
import contextlib
from datetime import date, datetime, time, timedelta
from distutils.version import LooseVersion
from functools import partial
import os
import warnings
import numpy as np
from numpy import nan
import pytest
from pandas.compat import PY36, BytesIO, iteritems, map, range, u
import pandas.util._test_decorators as td
import pandas as pd
from pandas import DataFrame, Index, MultiIndex, Series
from pandas.core.config import get_option, set_option
import pandas.util.testing as tm
from pandas.util.testing import ensure_clean, makeCustomDataframe as mkdf
from pandas.io.common import URLError
from pandas.io.excel import (
ExcelFile, ExcelWriter, _OpenpyxlWriter, _XlsxWriter, _XlwtWriter,
read_excel, register_writer)
from pandas.io.formats.excel import ExcelFormatter
from pandas.io.parsers import read_csv
_seriesd = tm.getSeriesData()
_tsd = tm.getTimeSeriesData()
_frame = DataFrame(_seriesd)[:10]
_frame2 = DataFrame(_seriesd, columns=['D', 'C', 'B', 'A'])[:10]
_tsframe = tm.makeTimeDataFrame()[:5]
_mixed_frame = _frame.copy()
_mixed_frame['foo'] = 'bar'
@contextlib.contextmanager
def ignore_xlrd_time_clock_warning():
"""
Context manager to ignore warnings raised by the xlrd library,
regarding the deprecation of `time.clock` in Python 3.7.
"""
with warnings.catch_warnings():
warnings.filterwarnings(
action='ignore',
message='time.clock has been deprecated',
category=DeprecationWarning)
yield
@td.skip_if_no('xlrd', '1.0.0')
class SharedItems(object):
@pytest.fixture(autouse=True)
def setup_method(self, datapath):
self.dirpath = datapath("io", "data")
self.frame = _frame.copy()
self.frame2 = _frame2.copy()
self.tsframe = _tsframe.copy()
self.mixed_frame = _mixed_frame.copy()
def get_csv_refdf(self, basename):
"""
Obtain the reference data from read_csv with the Python engine.
Parameters
----------
basename : str
File base name, excluding file extension.
Returns
-------
dfref : DataFrame
"""
pref = os.path.join(self.dirpath, basename + '.csv')
dfref = read_csv(pref, index_col=0, parse_dates=True, engine='python')
return dfref
def get_excelfile(self, basename, ext):
"""
Return test data ExcelFile instance.
Parameters
----------
basename : str
File base name, excluding file extension.
Returns
-------
excel : io.excel.ExcelFile
"""
return ExcelFile(os.path.join(self.dirpath, basename + ext))
def get_exceldf(self, basename, ext, *args, **kwds):
"""
Return test data DataFrame.
Parameters
----------
basename : str
File base name, excluding file extension.
Returns
-------
df : DataFrame
"""
pth = os.path.join(self.dirpath, basename + ext)
return read_excel(pth, *args, **kwds)
class ReadingTestsBase(SharedItems):
# This is based on ExcelWriterBase
@pytest.fixture(autouse=True, params=['xlrd', None])
def set_engine(self, request):
func_name = "get_exceldf"
old_func = getattr(self, func_name)
new_func = partial(old_func, engine=request.param)
setattr(self, func_name, new_func)
yield
setattr(self, func_name, old_func)
@td.skip_if_no("xlrd", "1.0.1") # see gh-22682
def test_usecols_int(self, ext):
df_ref = self.get_csv_refdf("test1")
df_ref = df_ref.reindex(columns=["A", "B", "C"])
# usecols as int
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
with ignore_xlrd_time_clock_warning():
df1 = self.get_exceldf("test1", ext, "Sheet1",
index_col=0, usecols=3)
# usecols as int
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
with ignore_xlrd_time_clock_warning():
df2 = self.get_exceldf("test1", ext, "Sheet2", skiprows=[1],
index_col=0, usecols=3)
# parse_cols instead of usecols, usecols as int
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
with ignore_xlrd_time_clock_warning():
df3 = self.get_exceldf("test1", ext, "Sheet2", skiprows=[1],
index_col=0, parse_cols=3)
# TODO add index to xls file)
tm.assert_frame_equal(df1, df_ref, check_names=False)
tm.assert_frame_equal(df2, df_ref, check_names=False)
tm.assert_frame_equal(df3, df_ref, check_names=False)
@td.skip_if_no('xlrd', '1.0.1') # GH-22682
def test_usecols_list(self, ext):
dfref = self.get_csv_refdf('test1')
dfref = dfref.reindex(columns=['B', 'C'])
df1 = self.get_exceldf('test1', ext, 'Sheet1', index_col=0,
usecols=[0, 2, 3])
df2 = self.get_exceldf('test1', ext, 'Sheet2', skiprows=[1],
index_col=0, usecols=[0, 2, 3])
with tm.assert_produces_warning(FutureWarning):
with ignore_xlrd_time_clock_warning():
df3 = self.get_exceldf('test1', ext, 'Sheet2', skiprows=[1],
index_col=0, parse_cols=[0, 2, 3])
# TODO add index to xls file)
tm.assert_frame_equal(df1, dfref, check_names=False)
tm.assert_frame_equal(df2, dfref, check_names=False)
tm.assert_frame_equal(df3, dfref, check_names=False)
@td.skip_if_no('xlrd', '1.0.1') # GH-22682
def test_usecols_str(self, ext):
dfref = self.get_csv_refdf('test1')
df1 = dfref.reindex(columns=['A', 'B', 'C'])
df2 = self.get_exceldf('test1', ext, 'Sheet1', index_col=0,
usecols='A:D')
df3 = self.get_exceldf('test1', ext, 'Sheet2', skiprows=[1],
index_col=0, usecols='A:D')
with tm.assert_produces_warning(FutureWarning):
with ignore_xlrd_time_clock_warning():
df4 = self.get_exceldf('test1', ext, 'Sheet2', skiprows=[1],
index_col=0, parse_cols='A:D')
# TODO add index to xls, read xls ignores index name ?
tm.assert_frame_equal(df2, df1, check_names=False)
tm.assert_frame_equal(df3, df1, check_names=False)
tm.assert_frame_equal(df4, df1, check_names=False)
df1 = dfref.reindex(columns=['B', 'C'])
df2 = self.get_exceldf('test1', ext, 'Sheet1', index_col=0,
usecols='A,C,D')
df3 = self.get_exceldf('test1', ext, 'Sheet2', skiprows=[1],
index_col=0, usecols='A,C,D')
# TODO add index to xls file
tm.assert_frame_equal(df2, df1, check_names=False)
tm.assert_frame_equal(df3, df1, check_names=False)
df1 = dfref.reindex(columns=['B', 'C'])
df2 = self.get_exceldf('test1', ext, 'Sheet1', index_col=0,
usecols='A,C:D')
df3 = self.get_exceldf('test1', ext, 'Sheet2', skiprows=[1],
index_col=0, usecols='A,C:D')
tm.assert_frame_equal(df2, df1, check_names=False)
tm.assert_frame_equal(df3, df1, check_names=False)
@pytest.mark.parametrize("usecols", [
[0, 1, 3], [0, 3, 1],
[1, 0, 3], [1, 3, 0],
[3, 0, 1], [3, 1, 0],
])
def test_usecols_diff_positional_int_columns_order(self, ext, usecols):
expected = self.get_csv_refdf("test1")[["A", "C"]]
result = self.get_exceldf("test1", ext, "Sheet1",
index_col=0, usecols=usecols)
tm.assert_frame_equal(result, expected, check_names=False)
@pytest.mark.parametrize("usecols", [
["B", "D"], ["D", "B"]
])
def test_usecols_diff_positional_str_columns_order(self, ext, usecols):
expected = self.get_csv_refdf("test1")[["B", "D"]]
expected.index = range(len(expected))
result = self.get_exceldf("test1", ext, "Sheet1", usecols=usecols)
tm.assert_frame_equal(result, expected, check_names=False)
def test_read_excel_without_slicing(self, ext):
expected = self.get_csv_refdf("test1")
result = self.get_exceldf("test1", ext, "Sheet1", index_col=0)
tm.assert_frame_equal(result, expected, check_names=False)
def test_usecols_excel_range_str(self, ext):
expected = self.get_csv_refdf("test1")[["C", "D"]]
result = self.get_exceldf("test1", ext, "Sheet1",
index_col=0, usecols="A,D:E")
tm.assert_frame_equal(result, expected, check_names=False)
def test_usecols_excel_range_str_invalid(self, ext):
msg = "Invalid column name: E1"
with pytest.raises(ValueError, match=msg):
self.get_exceldf("test1", ext, "Sheet1", usecols="D:E1")
def test_index_col_label_error(self, ext):
msg = "list indices must be integers.*, not str"
with pytest.raises(TypeError, match=msg):
self.get_exceldf("test1", ext, "Sheet1", index_col=["A"],
usecols=["A", "C"])
def test_index_col_empty(self, ext):
# see gh-9208
result = self.get_exceldf("test1", ext, "Sheet3",
index_col=["A", "B", "C"])
expected = DataFrame(columns=["D", "E", "F"],
index=MultiIndex(levels=[[]] * 3,
codes=[[]] * 3,
names=["A", "B", "C"]))
tm.assert_frame_equal(result, expected)
@pytest.mark.parametrize("index_col", [None, 2])
def test_index_col_with_unnamed(self, ext, index_col):
# see gh-18792
result = self.get_exceldf("test1", ext, "Sheet4",
index_col=index_col)
expected = DataFrame([["i1", "a", "x"], ["i2", "b", "y"]],
columns=["Unnamed: 0", "col1", "col2"])
if index_col:
expected = expected.set_index(expected.columns[index_col])
tm.assert_frame_equal(result, expected)
def test_usecols_pass_non_existent_column(self, ext):
msg = ("Usecols do not match columns, "
"columns expected but not found: " + r"\['E'\]")
with pytest.raises(ValueError, match=msg):
self.get_exceldf("test1", ext, usecols=["E"])
def test_usecols_wrong_type(self, ext):
msg = ("'usecols' must either be list-like of "
"all strings, all unicode, all integers or a callable.")
with pytest.raises(ValueError, match=msg):
self.get_exceldf("test1", ext, usecols=["E1", 0])
def test_excel_stop_iterator(self, ext):
parsed = self.get_exceldf('test2', ext, 'Sheet1')
expected = DataFrame([['aaaa', 'bbbbb']], columns=['Test', 'Test1'])
tm.assert_frame_equal(parsed, expected)
def test_excel_cell_error_na(self, ext):
parsed = self.get_exceldf('test3', ext, 'Sheet1')
expected = DataFrame([[np.nan]], columns=['Test'])
tm.assert_frame_equal(parsed, expected)
def test_excel_passes_na(self, ext):
excel = self.get_excelfile('test4', ext)
parsed = read_excel(excel, 'Sheet1', keep_default_na=False,
na_values=['apple'])
expected = DataFrame([['NA'], [1], ['NA'], [np.nan], ['rabbit']],
columns=['Test'])
tm.assert_frame_equal(parsed, expected)
parsed = read_excel(excel, 'Sheet1', keep_default_na=True,
na_values=['apple'])
expected = DataFrame([[np.nan], [1], [np.nan], [np.nan], ['rabbit']],
columns=['Test'])
tm.assert_frame_equal(parsed, expected)
# 13967
excel = self.get_excelfile('test5', ext)
parsed = read_excel(excel, 'Sheet1', keep_default_na=False,
na_values=['apple'])
expected = DataFrame([['1.#QNAN'], [1], ['nan'], [np.nan], ['rabbit']],
columns=['Test'])
tm.assert_frame_equal(parsed, expected)
parsed = read_excel(excel, 'Sheet1', keep_default_na=True,
na_values=['apple'])
expected = DataFrame([[np.nan], [1], [np.nan], [np.nan], ['rabbit']],
columns=['Test'])
tm.assert_frame_equal(parsed, expected)
@td.skip_if_no('xlrd', '1.0.1') # GH-22682
def test_deprecated_sheetname(self, ext):
# gh-17964
excel = self.get_excelfile('test1', ext)
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
read_excel(excel, sheetname='Sheet1')
with pytest.raises(TypeError):
read_excel(excel, sheet='Sheet1')
@td.skip_if_no('xlrd', '1.0.1') # GH-22682
def test_excel_table_sheet_by_index(self, ext):
excel = self.get_excelfile('test1', ext)
dfref = self.get_csv_refdf('test1')
df1 = read_excel(excel, 0, index_col=0)
df2 = read_excel(excel, 1, skiprows=[1], index_col=0)
tm.assert_frame_equal(df1, dfref, check_names=False)
tm.assert_frame_equal(df2, dfref, check_names=False)
df1 = excel.parse(0, index_col=0)
df2 = excel.parse(1, skiprows=[1], index_col=0)
tm.assert_frame_equal(df1, dfref, check_names=False)
tm.assert_frame_equal(df2, dfref, check_names=False)
df3 = read_excel(excel, 0, index_col=0, skipfooter=1)
tm.assert_frame_equal(df3, df1.iloc[:-1])
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
df4 = read_excel(excel, 0, index_col=0, skip_footer=1)
tm.assert_frame_equal(df3, df4)
df3 = excel.parse(0, index_col=0, skipfooter=1)
tm.assert_frame_equal(df3, df1.iloc[:-1])
import xlrd
with pytest.raises(xlrd.XLRDError):
read_excel(excel, 'asdf')
def test_excel_table(self, ext):
dfref = self.get_csv_refdf('test1')
df1 = self.get_exceldf('test1', ext, 'Sheet1', index_col=0)
df2 = self.get_exceldf('test1', ext, 'Sheet2', skiprows=[1],
index_col=0)
# TODO add index to file
tm.assert_frame_equal(df1, dfref, check_names=False)
tm.assert_frame_equal(df2, dfref, check_names=False)
df3 = self.get_exceldf('test1', ext, 'Sheet1', index_col=0,
skipfooter=1)
tm.assert_frame_equal(df3, df1.iloc[:-1])
def test_reader_special_dtypes(self, ext):
expected = DataFrame.from_dict(OrderedDict([
("IntCol", [1, 2, -3, 4, 0]),
("FloatCol", [1.25, 2.25, 1.83, 1.92, 0.0000000005]),
("BoolCol", [True, False, True, True, False]),
("StrCol", [1, 2, 3, 4, 5]),
# GH5394 - this is why convert_float isn't vectorized
("Str2Col", ["a", 3, "c", "d", "e"]),
("DateCol", [datetime(2013, 10, 30), datetime(2013, 10, 31),
datetime(1905, 1, 1), datetime(2013, 12, 14),
datetime(2015, 3, 14)])
]))
basename = 'test_types'
# should read in correctly and infer types
actual = self.get_exceldf(basename, ext, 'Sheet1')
tm.assert_frame_equal(actual, expected)
# if not coercing number, then int comes in as float
float_expected = expected.copy()
float_expected["IntCol"] = float_expected["IntCol"].astype(float)
float_expected.loc[float_expected.index[1], "Str2Col"] = 3.0
actual = self.get_exceldf(basename, ext, 'Sheet1', convert_float=False)
tm.assert_frame_equal(actual, float_expected)
# check setting Index (assuming xls and xlsx are the same here)
for icol, name in enumerate(expected.columns):
actual = self.get_exceldf(basename, ext, 'Sheet1', index_col=icol)
exp = expected.set_index(name)
tm.assert_frame_equal(actual, exp)
# convert_float and converters should be different but both accepted
expected["StrCol"] = expected["StrCol"].apply(str)
actual = self.get_exceldf(
basename, ext, 'Sheet1', converters={"StrCol": str})
tm.assert_frame_equal(actual, expected)
no_convert_float = float_expected.copy()
no_convert_float["StrCol"] = no_convert_float["StrCol"].apply(str)
actual = self.get_exceldf(basename, ext, 'Sheet1', convert_float=False,
converters={"StrCol": str})
tm.assert_frame_equal(actual, no_convert_float)
# GH8212 - support for converters and missing values
def test_reader_converters(self, ext):
basename = 'test_converters'
expected = DataFrame.from_dict(OrderedDict([
("IntCol", [1, 2, -3, -1000, 0]),
("FloatCol", [12.5, np.nan, 18.3, 19.2, 0.000000005]),
("BoolCol", ['Found', 'Found', 'Found', 'Not found', 'Found']),
("StrCol", ['1', np.nan, '3', '4', '5']),
]))
converters = {'IntCol': lambda x: int(x) if x != '' else -1000,
'FloatCol': lambda x: 10 * x if x else np.nan,
2: lambda x: 'Found' if x != '' else 'Not found',
3: lambda x: str(x) if x else '',
}
# should read in correctly and set types of single cells (not array
# dtypes)
actual = self.get_exceldf(basename, ext, 'Sheet1',
converters=converters)
tm.assert_frame_equal(actual, expected)
def test_reader_dtype(self, ext):
# GH 8212
basename = 'testdtype'
actual = self.get_exceldf(basename, ext)
expected = DataFrame({
'a': [1, 2, 3, 4],
'b': [2.5, 3.5, 4.5, 5.5],
'c': [1, 2, 3, 4],
'd': [1.0, 2.0, np.nan, 4.0]}).reindex(
columns=['a', 'b', 'c', 'd'])
tm.assert_frame_equal(actual, expected)
actual = self.get_exceldf(basename, ext,
dtype={'a': 'float64',
'b': 'float32',
'c': str})
expected['a'] = expected['a'].astype('float64')
expected['b'] = expected['b'].astype('float32')
expected['c'] = ['001', '002', '003', '004']
tm.assert_frame_equal(actual, expected)
with pytest.raises(ValueError):
self.get_exceldf(basename, ext, dtype={'d': 'int64'})
@pytest.mark.parametrize("dtype,expected", [
(None,
DataFrame({
"a": [1, 2, 3, 4],
"b": [2.5, 3.5, 4.5, 5.5],
"c": [1, 2, 3, 4],
"d": [1.0, 2.0, np.nan, 4.0]
})),
({"a": "float64",
"b": "float32",
"c": str,
"d": str
},
DataFrame({
"a": Series([1, 2, 3, 4], dtype="float64"),
"b": Series([2.5, 3.5, 4.5, 5.5], dtype="float32"),
"c": ["001", "002", "003", "004"],
"d": ["1", "2", np.nan, "4"]
})),
])
def test_reader_dtype_str(self, ext, dtype, expected):
# see gh-20377
basename = "testdtype"
actual = self.get_exceldf(basename, ext, dtype=dtype)
tm.assert_frame_equal(actual, expected)
def test_reading_all_sheets(self, ext):
# Test reading all sheetnames by setting sheetname to None,
# Ensure a dict is returned.
# See PR #9450
basename = 'test_multisheet'
dfs = self.get_exceldf(basename, ext, sheet_name=None)
# ensure this is not alphabetical to test order preservation
expected_keys = ['Charlie', 'Alpha', 'Beta']
tm.assert_contains_all(expected_keys, dfs.keys())
# Issue 9930
# Ensure sheet order is preserved
assert expected_keys == list(dfs.keys())
def test_reading_multiple_specific_sheets(self, ext):
# Test reading specific sheetnames by specifying a mixed list
# of integers and strings, and confirm that duplicated sheet
# references (positions/names) are removed properly.
# Ensure a dict is returned
# See PR #9450
basename = 'test_multisheet'
# Explicitly request duplicates. Only the set should be returned.
expected_keys = [2, 'Charlie', 'Charlie']
dfs = self.get_exceldf(basename, ext, sheet_name=expected_keys)
expected_keys = list(set(expected_keys))
tm.assert_contains_all(expected_keys, dfs.keys())
assert len(expected_keys) == len(dfs.keys())
def test_reading_all_sheets_with_blank(self, ext):
# Test reading all sheetnames by setting sheetname to None,
# In the case where some sheets are blank.
# Issue #11711
basename = 'blank_with_header'
dfs = self.get_exceldf(basename, ext, sheet_name=None)
expected_keys = ['Sheet1', 'Sheet2', 'Sheet3']
tm.assert_contains_all(expected_keys, dfs.keys())
# GH6403
def test_read_excel_blank(self, ext):
actual = self.get_exceldf('blank', ext, 'Sheet1')
tm.assert_frame_equal(actual, DataFrame())
def test_read_excel_blank_with_header(self, ext):
expected = DataFrame(columns=['col_1', 'col_2'])
actual = self.get_exceldf('blank_with_header', ext, 'Sheet1')
tm.assert_frame_equal(actual, expected)
@td.skip_if_no("xlwt")
@td.skip_if_no("openpyxl")
@pytest.mark.parametrize("header,expected", [
(None, DataFrame([np.nan] * 4)),
(0, DataFrame({"Unnamed: 0": [np.nan] * 3}))
])
def test_read_one_empty_col_no_header(self, ext, header, expected):
# xref gh-12292
filename = "no_header"
df = pd.DataFrame(
[["", 1, 100],
["", 2, 200],
["", 3, 300],
["", 4, 400]]
)
with ensure_clean(ext) as path:
df.to_excel(path, filename, index=False, header=False)
result = read_excel(path, filename, usecols=[0], header=header)
tm.assert_frame_equal(result, expected)
@td.skip_if_no("xlwt")
@td.skip_if_no("openpyxl")
@pytest.mark.parametrize("header,expected", [
(None, DataFrame([0] + [np.nan] * 4)),
(0, DataFrame([np.nan] * 4))
])
def test_read_one_empty_col_with_header(self, ext, header, expected):
filename = "with_header"
df = pd.DataFrame(
[["", 1, 100],
["", 2, 200],
["", 3, 300],
["", 4, 400]]
)
with ensure_clean(ext) as path:
df.to_excel(path, 'with_header', index=False, header=True)
result = read_excel(path, filename, usecols=[0], header=header)
tm.assert_frame_equal(result, expected)
@td.skip_if_no('openpyxl')
@td.skip_if_no('xlwt')
def test_set_column_names_in_parameter(self, ext):
# GH 12870 : pass down column names associated with
# keyword argument names
refdf = pd.DataFrame([[1, 'foo'], [2, 'bar'],
[3, 'baz']], columns=['a', 'b'])
with ensure_clean(ext) as pth:
with ExcelWriter(pth) as writer:
refdf.to_excel(writer, 'Data_no_head',
header=False, index=False)
refdf.to_excel(writer, 'Data_with_head', index=False)
refdf.columns = ['A', 'B']
with ExcelFile(pth) as reader:
xlsdf_no_head = read_excel(reader, 'Data_no_head',
header=None, names=['A', 'B'])
xlsdf_with_head = read_excel(reader, 'Data_with_head',
index_col=None, names=['A', 'B'])
tm.assert_frame_equal(xlsdf_no_head, refdf)
tm.assert_frame_equal(xlsdf_with_head, refdf)
def test_date_conversion_overflow(self, ext):
# GH 10001 : pandas.ExcelFile ignore parse_dates=False
expected = pd.DataFrame([[pd.Timestamp('2016-03-12'), 'Marc Johnson'],
[pd.Timestamp('2016-03-16'), 'Jack Black'],
[1e+20, 'Timothy Brown']],
columns=['DateColWithBigInt', 'StringCol'])
result = self.get_exceldf('testdateoverflow', ext)
tm.assert_frame_equal(result, expected)
@td.skip_if_no("xlrd", "1.0.1") # see gh-22682
def test_sheet_name_and_sheetname(self, ext):
# gh-10559: Minor improvement: Change "sheet_name" to "sheetname"
# gh-10969: DOC: Consistent var names (sheetname vs sheet_name)
# gh-12604: CLN GH10559 Rename sheetname variable to sheet_name
# gh-20920: ExcelFile.parse() and pd.read_xlsx() have different
# behavior for "sheetname" argument
filename = "test1"
sheet_name = "Sheet1"
df_ref = self.get_csv_refdf(filename)
df1 = self.get_exceldf(filename, ext,
sheet_name=sheet_name, index_col=0) # doc
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
with ignore_xlrd_time_clock_warning():
df2 = self.get_exceldf(filename, ext, index_col=0,
sheetname=sheet_name) # backward compat
excel = self.get_excelfile(filename, ext)
df1_parse = excel.parse(sheet_name=sheet_name, index_col=0) # doc
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
df2_parse = excel.parse(index_col=0,
sheetname=sheet_name) # backward compat
tm.assert_frame_equal(df1, df_ref, check_names=False)
tm.assert_frame_equal(df2, df_ref, check_names=False)
tm.assert_frame_equal(df1_parse, df_ref, check_names=False)
tm.assert_frame_equal(df2_parse, df_ref, check_names=False)
def test_sheet_name_both_raises(self, ext):
with pytest.raises(TypeError, match="Cannot specify both"):
self.get_exceldf('test1', ext, sheetname='Sheet1',
sheet_name='Sheet1')
excel = self.get_excelfile('test1', ext)
with pytest.raises(TypeError, match="Cannot specify both"):
excel.parse(sheetname='Sheet1',
sheet_name='Sheet1')
def test_excel_read_buffer(self, ext):
pth = os.path.join(self.dirpath, 'test1' + ext)
expected = read_excel(pth, 'Sheet1', index_col=0)
with open(pth, 'rb') as f:
actual = read_excel(f, 'Sheet1', index_col=0)
tm.assert_frame_equal(expected, actual)
with open(pth, 'rb') as f:
xls = ExcelFile(f)
actual = read_excel(xls, 'Sheet1', index_col=0)
tm.assert_frame_equal(expected, actual)
def test_bad_engine_raises(self, ext):
bad_engine = 'foo'
with pytest.raises(ValueError, match="Unknown engine: foo"):
read_excel('', engine=bad_engine)
@tm.network
def test_read_from_http_url(self, ext):
url = ('https://raw.github.com/pandas-dev/pandas/master/'
'pandas/tests/io/data/test1' + ext)
url_table = read_excel(url)
local_table = self.get_exceldf('test1', ext)
tm.assert_frame_equal(url_table, local_table)
@td.skip_if_not_us_locale
def test_read_from_s3_url(self, ext, s3_resource):
# Bucket "pandas-test" created in tests/io/conftest.py
file_name = os.path.join(self.dirpath, 'test1' + ext)
with open(file_name, "rb") as f:
s3_resource.Bucket("pandas-test").put_object(Key="test1" + ext,
Body=f)
url = ('s3://pandas-test/test1' + ext)
url_table = read_excel(url)
local_table = self.get_exceldf('test1', ext)
tm.assert_frame_equal(url_table, local_table)
@pytest.mark.slow
# ignore warning from old xlrd
@pytest.mark.filterwarnings("ignore:This metho:PendingDeprecationWarning")
def test_read_from_file_url(self, ext):
# FILE
localtable = os.path.join(self.dirpath, 'test1' + ext)
local_table = read_excel(localtable)
try:
url_table = read_excel('file://localhost/' + localtable)
except URLError:
# fails on some systems
import platform
pytest.skip("failing on %s" %
' '.join(platform.uname()).strip())
tm.assert_frame_equal(url_table, local_table)
@td.skip_if_no('pathlib')
def test_read_from_pathlib_path(self, ext):
# GH12655
from pathlib import Path
str_path = os.path.join(self.dirpath, 'test1' + ext)
expected = read_excel(str_path, 'Sheet1', index_col=0)
path_obj = Path(self.dirpath, 'test1' + ext)
actual = read_excel(path_obj, 'Sheet1', index_col=0)
tm.assert_frame_equal(expected, actual)
@td.skip_if_no('py.path')
def test_read_from_py_localpath(self, ext):
# GH12655
from py.path import local as LocalPath
str_path = os.path.join(self.dirpath, 'test1' + ext)
expected = read_excel(str_path, 'Sheet1', index_col=0)
abs_dir = os.path.abspath(self.dirpath)
path_obj = LocalPath(abs_dir).join('test1' + ext)
actual = read_excel(path_obj, 'Sheet1', index_col=0)
tm.assert_frame_equal(expected, actual)
def test_reader_closes_file(self, ext):
pth = os.path.join(self.dirpath, 'test1' + ext)
f = open(pth, 'rb')
with ExcelFile(f) as xlsx:
# parses okay
read_excel(xlsx, 'Sheet1', index_col=0)
assert f.closed
@td.skip_if_no("xlwt")
@td.skip_if_no("openpyxl")
def test_creating_and_reading_multiple_sheets(self, ext):
# see gh-9450
#
# Test reading multiple sheets, from a runtime
# created Excel file with multiple sheets.
def tdf(col_sheet_name):
d, i = [11, 22, 33], [1, 2, 3]
return DataFrame(d, i, columns=[col_sheet_name])
sheets = ["AAA", "BBB", "CCC"]
dfs = [tdf(s) for s in sheets]
dfs = dict(zip(sheets, dfs))
with ensure_clean(ext) as pth:
with ExcelWriter(pth) as ew:
for sheetname, df in iteritems(dfs):
df.to_excel(ew, sheetname)
dfs_returned = read_excel(pth, sheet_name=sheets, index_col=0)
for s in sheets:
tm.assert_frame_equal(dfs[s], dfs_returned[s])
def test_reader_seconds(self, ext):
# Test reading times with and without milliseconds. GH5945.
expected = DataFrame.from_dict({"Time": [time(1, 2, 3),
time(2, 45, 56, 100000),
time(4, 29, 49, 200000),
time(6, 13, 42, 300000),
time(7, 57, 35, 400000),
time(9, 41, 28, 500000),
time(11, 25, 21, 600000),
time(13, 9, 14, 700000),
time(14, 53, 7, 800000),
time(16, 37, 0, 900000),
time(18, 20, 54)]})
actual = self.get_exceldf('times_1900', ext, 'Sheet1')
tm.assert_frame_equal(actual, expected)
actual = self.get_exceldf('times_1904', ext, 'Sheet1')
tm.assert_frame_equal(actual, expected)
def test_read_excel_multiindex(self, ext):
# see gh-4679
mi = MultiIndex.from_product([["foo", "bar"], ["a", "b"]])
mi_file = os.path.join(self.dirpath, "testmultiindex" + ext)
# "mi_column" sheet
expected = DataFrame([[1, 2.5, pd.Timestamp("2015-01-01"), True],
[2, 3.5, pd.Timestamp("2015-01-02"), False],
[3, 4.5, pd.Timestamp("2015-01-03"), False],
[4, 5.5, pd.Timestamp("2015-01-04"), True]],
columns=mi)
actual = read_excel(mi_file, "mi_column", header=[0, 1], index_col=0)
tm.assert_frame_equal(actual, expected)
# "mi_index" sheet
expected.index = mi
expected.columns = ["a", "b", "c", "d"]
actual = read_excel(mi_file, "mi_index", index_col=[0, 1])
tm.assert_frame_equal(actual, expected, check_names=False)
# "both" sheet
expected.columns = mi
actual = read_excel(mi_file, "both", index_col=[0, 1], header=[0, 1])
tm.assert_frame_equal(actual, expected, check_names=False)
# "mi_index_name" sheet
expected.columns = ["a", "b", "c", "d"]
expected.index = mi.set_names(["ilvl1", "ilvl2"])
actual = read_excel(mi_file, "mi_index_name", index_col=[0, 1])
tm.assert_frame_equal(actual, expected)
# "mi_column_name" sheet
expected.index = list(range(4))
expected.columns = mi.set_names(["c1", "c2"])
actual = read_excel(mi_file, "mi_column_name",
header=[0, 1], index_col=0)
tm.assert_frame_equal(actual, expected)
# see gh-11317
# "name_with_int" sheet
expected.columns = mi.set_levels(
[1, 2], level=1).set_names(["c1", "c2"])
actual = read_excel(mi_file, "name_with_int",
index_col=0, header=[0, 1])
tm.assert_frame_equal(actual, expected)
# "both_name" sheet
expected.columns = mi.set_names(["c1", "c2"])
expected.index = mi.set_names(["ilvl1", "ilvl2"])
actual = read_excel(mi_file, "both_name",
index_col=[0, 1], header=[0, 1])
tm.assert_frame_equal(actual, expected)
# "both_skiprows" sheet
actual = read_excel(mi_file, "both_name_skiprows", index_col=[0, 1],
header=[0, 1], skiprows=2)
tm.assert_frame_equal(actual, expected)
def test_read_excel_multiindex_header_only(self, ext):
# see gh-11733.
#
# Don't try to parse a header name if there isn't one.
mi_file = os.path.join(self.dirpath, "testmultiindex" + ext)
result = read_excel(mi_file, "index_col_none", header=[0, 1])
exp_columns = MultiIndex.from_product([("A", "B"), ("key", "val")])
expected = DataFrame([[1, 2, 3, 4]] * 2, columns=exp_columns)
tm.assert_frame_equal(result, expected)
@td.skip_if_no("xlsxwriter")
def test_read_excel_multiindex_empty_level(self, ext):
# see gh-12453
with ensure_clean(ext) as path:
df = DataFrame({
("One", "x"): {0: 1},
("Two", "X"): {0: 3},
("Two", "Y"): {0: 7},
("Zero", ""): {0: 0}
})
expected = DataFrame({
("One", "x"): {0: 1},
("Two", "X"): {0: 3},
("Two", "Y"): {0: 7},
("Zero", "Unnamed: 4_level_1"): {0: 0}
})
df.to_excel(path)
actual = pd.read_excel(path, header=[0, 1], index_col=0)
tm.assert_frame_equal(actual, expected)
df = pd.DataFrame({
("Beg", ""): {0: 0},
("Middle", "x"): {0: 1},
("Tail", "X"): {0: 3},
("Tail", "Y"): {0: 7}
})
expected = pd.DataFrame({
("Beg", "Unnamed: 1_level_1"): {0: 0},
("Middle", "x"): {0: 1},
("Tail", "X"): {0: 3},
("Tail", "Y"): {0: 7}
})
df.to_excel(path)
actual = pd.read_excel(path, header=[0, 1], index_col=0)
tm.assert_frame_equal(actual, expected)
@td.skip_if_no("xlsxwriter")
@pytest.mark.parametrize("c_idx_names", [True, False])
@pytest.mark.parametrize("r_idx_names", [True, False])
@pytest.mark.parametrize("c_idx_levels", [1, 3])
@pytest.mark.parametrize("r_idx_levels", [1, 3])
def test_excel_multindex_roundtrip(self, ext, c_idx_names, r_idx_names,
c_idx_levels, r_idx_levels):
# see gh-4679
with ensure_clean(ext) as pth:
if c_idx_levels == 1 and c_idx_names:
pytest.skip("Column index name cannot be "
"serialized unless it's a MultiIndex")
# Empty name case current read in as
# unnamed levels, not Nones.
check_names = r_idx_names or r_idx_levels <= 1
df = mkdf(5, 5, c_idx_names, r_idx_names,
c_idx_levels, r_idx_levels)
df.to_excel(pth)
act = pd.read_excel(pth, index_col=list(range(r_idx_levels)),
header=list(range(c_idx_levels)))
tm.assert_frame_equal(df, act, check_names=check_names)
df.iloc[0, :] = np.nan
df.to_excel(pth)
act = pd.read_excel(pth, index_col=list(range(r_idx_levels)),
header=list(range(c_idx_levels)))
tm.assert_frame_equal(df, act, check_names=check_names)
df.iloc[-1, :] = np.nan
df.to_excel(pth)
act = pd.read_excel(pth, index_col=list(range(r_idx_levels)),
header=list(range(c_idx_levels)))
tm.assert_frame_equal(df, act, check_names=check_names)
def test_excel_old_index_format(self, ext):
# see gh-4679
filename = "test_index_name_pre17" + ext
in_file = os.path.join(self.dirpath, filename)
# We detect headers to determine if index names exist, so
# that "index" name in the "names" version of the data will
# now be interpreted as rows that include null data.
data = np.array([[None, None, None, None, None],
["R0C0", "R0C1", "R0C2", "R0C3", "R0C4"],
["R1C0", "R1C1", "R1C2", "R1C3", "R1C4"],
["R2C0", "R2C1", "R2C2", "R2C3", "R2C4"],
["R3C0", "R3C1", "R3C2", "R3C3", "R3C4"],
["R4C0", "R4C1", "R4C2", "R4C3", "R4C4"]])
columns = ["C_l0_g0", "C_l0_g1", "C_l0_g2", "C_l0_g3", "C_l0_g4"]
mi = MultiIndex(levels=[["R0", "R_l0_g0", "R_l0_g1",
"R_l0_g2", "R_l0_g3", "R_l0_g4"],
["R1", "R_l1_g0", "R_l1_g1",