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test_writers.py
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from datetime import date, datetime, timedelta
from functools import partial
from io import BytesIO
import os
import numpy as np
from numpy import nan
import pytest
from pandas.compat import PY36
import pandas.util._test_decorators as td
import pandas as pd
from pandas import DataFrame, Index, MultiIndex, get_option, set_option
import pandas.util.testing as tm
from pandas.util.testing import ensure_clean, makeCustomDataframe as mkdf
from pandas.io.excel import (
ExcelFile, ExcelWriter, _OpenpyxlWriter, _XlsxWriter, _XlwtWriter,
register_writer)
@td.skip_if_no('xlrd')
@pytest.mark.parametrize("ext", ['.xls', '.xlsx', '.xlsm'])
class TestRoundTrip:
@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 = pd.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 = pd.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 = pd.read_excel(reader, 'Data_no_head',
header=None, names=['A', 'B'])
xlsdf_with_head = pd.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)
@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 dfs.items():
df.to_excel(ew, sheetname)
dfs_returned = pd.read_excel(pth, sheet_name=sheets, index_col=0)
for s in sheets:
tm.assert_frame_equal(dfs[s], dfs_returned[s])
@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)
@td.skip_if_no("xlwt")
@td.skip_if_no("openpyxl")
def test_read_excel_parse_dates(self, ext):
# see gh-11544, gh-12051
df = DataFrame(
{"col": [1, 2, 3],
"date_strings": pd.date_range("2012-01-01", periods=3)})
df2 = df.copy()
df2["date_strings"] = df2["date_strings"].dt.strftime("%m/%d/%Y")
with ensure_clean(ext) as pth:
df2.to_excel(pth)
res = pd.read_excel(pth, index_col=0)
tm.assert_frame_equal(df2, res)
res = pd.read_excel(pth, parse_dates=["date_strings"], index_col=0)
tm.assert_frame_equal(df, res)
date_parser = lambda x: pd.datetime.strptime(x, "%m/%d/%Y")
res = pd.read_excel(pth, parse_dates=["date_strings"],
date_parser=date_parser, index_col=0)
tm.assert_frame_equal(df, res)
class _WriterBase:
@pytest.fixture(autouse=True)
def set_engine_and_path(self, request, engine, ext):
"""Fixture to set engine and open file for use in each test case
Rather than requiring `engine=...` to be provided explicitly as an
argument in each test, this fixture sets a global option to dictate
which engine should be used to write Excel files. After executing
the test it rolls back said change to the global option.
It also uses a context manager to open a temporary excel file for
the function to write to, accessible via `self.path`
Notes
-----
This fixture will run as part of each test method defined in the
class and any subclasses, on account of the `autouse=True`
argument
"""
option_name = 'io.excel.{ext}.writer'.format(ext=ext.strip('.'))
prev_engine = get_option(option_name)
set_option(option_name, engine)
with ensure_clean(ext) as path:
self.path = path
yield
set_option(option_name, prev_engine) # Roll back option change
@pytest.mark.parametrize("engine,ext", [
pytest.param('openpyxl', '.xlsx', marks=pytest.mark.skipif(
not td.safe_import('openpyxl'), reason='No openpyxl')),
pytest.param('openpyxl', '.xlsm', marks=pytest.mark.skipif(
not td.safe_import('openpyxl'), reason='No openpyxl')),
pytest.param('xlwt', '.xls', marks=pytest.mark.skipif(
not td.safe_import('xlwt'), reason='No xlwt')),
pytest.param('xlsxwriter', '.xlsx', marks=pytest.mark.skipif(
not td.safe_import('xlsxwriter'), reason='No xlsxwriter'))
])
class TestExcelWriter(_WriterBase):
# Base class for test cases to run with different Excel writers.
def test_excel_sheet_size(self, engine, ext):
# GH 26080
breaking_row_count = 2**20 + 1
breaking_col_count = 2**14 + 1
# purposely using two arrays to prevent memory issues while testing
row_arr = np.zeros(shape=(breaking_row_count, 1))
col_arr = np.zeros(shape=(1, breaking_col_count))
row_df = pd.DataFrame(row_arr)
col_df = pd.DataFrame(col_arr)
msg = "sheet is too large"
with pytest.raises(ValueError, match=msg):
row_df.to_excel(self.path)
with pytest.raises(ValueError, match=msg):
col_df.to_excel(self.path)
def test_excel_sheet_by_name_raise(self, engine, ext):
import xlrd
gt = DataFrame(np.random.randn(10, 2))
gt.to_excel(self.path)
xl = ExcelFile(self.path)
df = pd.read_excel(xl, 0, index_col=0)
tm.assert_frame_equal(gt, df)
with pytest.raises(xlrd.XLRDError):
pd.read_excel(xl, "0")
def test_excel_writer_context_manager(self, frame, engine, ext):
with ExcelWriter(self.path) as writer:
frame.to_excel(writer, "Data1")
frame2 = frame.copy()
frame2.columns = frame.columns[::-1]
frame2.to_excel(writer, "Data2")
with ExcelFile(self.path) as reader:
found_df = pd.read_excel(reader, "Data1", index_col=0)
found_df2 = pd.read_excel(reader, "Data2", index_col=0)
tm.assert_frame_equal(found_df, frame)
tm.assert_frame_equal(found_df2, frame2)
def test_roundtrip(self, engine, ext, frame):
frame = frame.copy()
frame['A'][:5] = nan
frame.to_excel(self.path, 'test1')
frame.to_excel(self.path, 'test1', columns=['A', 'B'])
frame.to_excel(self.path, 'test1', header=False)
frame.to_excel(self.path, 'test1', index=False)
# test roundtrip
frame.to_excel(self.path, 'test1')
recons = pd.read_excel(self.path, 'test1', index_col=0)
tm.assert_frame_equal(frame, recons)
frame.to_excel(self.path, 'test1', index=False)
recons = pd.read_excel(self.path, 'test1', index_col=None)
recons.index = frame.index
tm.assert_frame_equal(frame, recons)
frame.to_excel(self.path, 'test1', na_rep='NA')
recons = pd.read_excel(
self.path, 'test1', index_col=0, na_values=['NA'])
tm.assert_frame_equal(frame, recons)
# GH 3611
frame.to_excel(self.path, 'test1', na_rep='88')
recons = pd.read_excel(
self.path, 'test1', index_col=0, na_values=['88'])
tm.assert_frame_equal(frame, recons)
frame.to_excel(self.path, 'test1', na_rep='88')
recons = pd.read_excel(
self.path, 'test1', index_col=0, na_values=[88, 88.0])
tm.assert_frame_equal(frame, recons)
# GH 6573
frame.to_excel(self.path, 'Sheet1')
recons = pd.read_excel(self.path, index_col=0)
tm.assert_frame_equal(frame, recons)
frame.to_excel(self.path, '0')
recons = pd.read_excel(self.path, index_col=0)
tm.assert_frame_equal(frame, recons)
# GH 8825 Pandas Series should provide to_excel method
s = frame["A"]
s.to_excel(self.path)
recons = pd.read_excel(self.path, index_col=0)
tm.assert_frame_equal(s.to_frame(), recons)
def test_mixed(self, engine, ext, frame):
mixed_frame = frame.copy()
mixed_frame['foo'] = 'bar'
mixed_frame.to_excel(self.path, 'test1')
reader = ExcelFile(self.path)
recons = pd.read_excel(reader, 'test1', index_col=0)
tm.assert_frame_equal(mixed_frame, recons)
def test_ts_frame(self, tsframe, engine, ext):
df = tsframe
df.to_excel(self.path, "test1")
reader = ExcelFile(self.path)
recons = pd.read_excel(reader, "test1", index_col=0)
tm.assert_frame_equal(df, recons)
def test_basics_with_nan(self, engine, ext, frame):
frame = frame.copy()
frame['A'][:5] = nan
frame.to_excel(self.path, 'test1')
frame.to_excel(self.path, 'test1', columns=['A', 'B'])
frame.to_excel(self.path, 'test1', header=False)
frame.to_excel(self.path, 'test1', index=False)
@pytest.mark.parametrize("np_type", [
np.int8, np.int16, np.int32, np.int64])
def test_int_types(self, engine, ext, np_type):
# Test np.int values read come back as int
# (rather than float which is Excel's format).
df = DataFrame(np.random.randint(-10, 10, size=(10, 2)),
dtype=np_type)
df.to_excel(self.path, "test1")
reader = ExcelFile(self.path)
recons = pd.read_excel(reader, "test1", index_col=0)
int_frame = df.astype(np.int64)
tm.assert_frame_equal(int_frame, recons)
recons2 = pd.read_excel(self.path, "test1", index_col=0)
tm.assert_frame_equal(int_frame, recons2)
# Test with convert_float=False comes back as float.
float_frame = df.astype(float)
recons = pd.read_excel(self.path, "test1",
convert_float=False, index_col=0)
tm.assert_frame_equal(recons, float_frame,
check_index_type=False,
check_column_type=False)
@pytest.mark.parametrize("np_type", [
np.float16, np.float32, np.float64])
def test_float_types(self, engine, ext, np_type):
# Test np.float values read come back as float.
df = DataFrame(np.random.random_sample(10), dtype=np_type)
df.to_excel(self.path, "test1")
reader = ExcelFile(self.path)
recons = pd.read_excel(reader, "test1", index_col=0).astype(np_type)
tm.assert_frame_equal(df, recons, check_dtype=False)
@pytest.mark.parametrize("np_type", [np.bool8, np.bool_])
def test_bool_types(self, engine, ext, np_type):
# Test np.bool values read come back as float.
df = (DataFrame([1, 0, True, False], dtype=np_type))
df.to_excel(self.path, "test1")
reader = ExcelFile(self.path)
recons = pd.read_excel(reader, "test1", index_col=0).astype(np_type)
tm.assert_frame_equal(df, recons)
def test_inf_roundtrip(self, engine, ext):
df = DataFrame([(1, np.inf), (2, 3), (5, -np.inf)])
df.to_excel(self.path, "test1")
reader = ExcelFile(self.path)
recons = pd.read_excel(reader, "test1", index_col=0)
tm.assert_frame_equal(df, recons)
def test_sheets(self, engine, ext, frame, tsframe):
frame = frame.copy()
frame['A'][:5] = nan
frame.to_excel(self.path, 'test1')
frame.to_excel(self.path, 'test1', columns=['A', 'B'])
frame.to_excel(self.path, 'test1', header=False)
frame.to_excel(self.path, 'test1', index=False)
# Test writing to separate sheets
writer = ExcelWriter(self.path)
frame.to_excel(writer, 'test1')
tsframe.to_excel(writer, 'test2')
writer.save()
reader = ExcelFile(self.path)
recons = pd.read_excel(reader, 'test1', index_col=0)
tm.assert_frame_equal(frame, recons)
recons = pd.read_excel(reader, 'test2', index_col=0)
tm.assert_frame_equal(tsframe, recons)
assert 2 == len(reader.sheet_names)
assert 'test1' == reader.sheet_names[0]
assert 'test2' == reader.sheet_names[1]
def test_colaliases(self, engine, ext, frame):
frame = frame.copy()
frame['A'][:5] = nan
frame.to_excel(self.path, 'test1')
frame.to_excel(self.path, 'test1', columns=['A', 'B'])
frame.to_excel(self.path, 'test1', header=False)
frame.to_excel(self.path, 'test1', index=False)
# column aliases
col_aliases = Index(['AA', 'X', 'Y', 'Z'])
frame.to_excel(self.path, 'test1', header=col_aliases)
reader = ExcelFile(self.path)
rs = pd.read_excel(reader, 'test1', index_col=0)
xp = frame.copy()
xp.columns = col_aliases
tm.assert_frame_equal(xp, rs)
def test_roundtrip_indexlabels(self, merge_cells, engine, ext, frame):
frame = frame.copy()
frame['A'][:5] = nan
frame.to_excel(self.path, 'test1')
frame.to_excel(self.path, 'test1', columns=['A', 'B'])
frame.to_excel(self.path, 'test1', header=False)
frame.to_excel(self.path, 'test1', index=False)
# test index_label
df = (DataFrame(np.random.randn(10, 2)) >= 0)
df.to_excel(self.path, 'test1',
index_label=['test'],
merge_cells=merge_cells)
reader = ExcelFile(self.path)
recons = pd.read_excel(
reader, 'test1', index_col=0).astype(np.int64)
df.index.names = ['test']
assert df.index.names == recons.index.names
df = (DataFrame(np.random.randn(10, 2)) >= 0)
df.to_excel(self.path,
'test1',
index_label=['test', 'dummy', 'dummy2'],
merge_cells=merge_cells)
reader = ExcelFile(self.path)
recons = pd.read_excel(
reader, 'test1', index_col=0).astype(np.int64)
df.index.names = ['test']
assert df.index.names == recons.index.names
df = (DataFrame(np.random.randn(10, 2)) >= 0)
df.to_excel(self.path,
'test1',
index_label='test',
merge_cells=merge_cells)
reader = ExcelFile(self.path)
recons = pd.read_excel(
reader, 'test1', index_col=0).astype(np.int64)
df.index.names = ['test']
tm.assert_frame_equal(df, recons.astype(bool))
frame.to_excel(self.path,
'test1',
columns=['A', 'B', 'C', 'D'],
index=False, merge_cells=merge_cells)
# take 'A' and 'B' as indexes (same row as cols 'C', 'D')
df = frame.copy()
df = df.set_index(['A', 'B'])
reader = ExcelFile(self.path)
recons = pd.read_excel(reader, 'test1', index_col=[0, 1])
tm.assert_frame_equal(df, recons, check_less_precise=True)
def test_excel_roundtrip_indexname(self, merge_cells, engine, ext):
df = DataFrame(np.random.randn(10, 4))
df.index.name = 'foo'
df.to_excel(self.path, merge_cells=merge_cells)
xf = ExcelFile(self.path)
result = pd.read_excel(xf, xf.sheet_names[0], index_col=0)
tm.assert_frame_equal(result, df)
assert result.index.name == 'foo'
def test_excel_roundtrip_datetime(self, merge_cells, tsframe, engine, ext):
# datetime.date, not sure what to test here exactly
tsf = tsframe.copy()
tsf.index = [x.date() for x in tsframe.index]
tsf.to_excel(self.path, "test1", merge_cells=merge_cells)
reader = ExcelFile(self.path)
recons = pd.read_excel(reader, "test1", index_col=0)
tm.assert_frame_equal(tsframe, recons)
def test_excel_date_datetime_format(self, engine, ext):
# see gh-4133
#
# Excel output format strings
df = DataFrame([[date(2014, 1, 31),
date(1999, 9, 24)],
[datetime(1998, 5, 26, 23, 33, 4),
datetime(2014, 2, 28, 13, 5, 13)]],
index=["DATE", "DATETIME"], columns=["X", "Y"])
df_expected = DataFrame([[datetime(2014, 1, 31),
datetime(1999, 9, 24)],
[datetime(1998, 5, 26, 23, 33, 4),
datetime(2014, 2, 28, 13, 5, 13)]],
index=["DATE", "DATETIME"], columns=["X", "Y"])
with ensure_clean(ext) as filename2:
writer1 = ExcelWriter(self.path)
writer2 = ExcelWriter(filename2,
date_format="DD.MM.YYYY",
datetime_format="DD.MM.YYYY HH-MM-SS")
df.to_excel(writer1, "test1")
df.to_excel(writer2, "test1")
writer1.close()
writer2.close()
reader1 = ExcelFile(self.path)
reader2 = ExcelFile(filename2)
rs1 = pd.read_excel(reader1, "test1", index_col=0)
rs2 = pd.read_excel(reader2, "test1", index_col=0)
tm.assert_frame_equal(rs1, rs2)
# Since the reader returns a datetime object for dates,
# we need to use df_expected to check the result.
tm.assert_frame_equal(rs2, df_expected)
def test_to_excel_interval_no_labels(self, engine, ext):
# see gh-19242
#
# Test writing Interval without labels.
df = DataFrame(np.random.randint(-10, 10, size=(20, 1)),
dtype=np.int64)
expected = df.copy()
df["new"] = pd.cut(df[0], 10)
expected["new"] = pd.cut(expected[0], 10).astype(str)
df.to_excel(self.path, "test1")
reader = ExcelFile(self.path)
recons = pd.read_excel(reader, "test1", index_col=0)
tm.assert_frame_equal(expected, recons)
def test_to_excel_interval_labels(self, engine, ext):
# see gh-19242
#
# Test writing Interval with labels.
df = DataFrame(np.random.randint(-10, 10, size=(20, 1)),
dtype=np.int64)
expected = df.copy()
intervals = pd.cut(df[0], 10, labels=["A", "B", "C", "D", "E",
"F", "G", "H", "I", "J"])
df["new"] = intervals
expected["new"] = pd.Series(list(intervals))
df.to_excel(self.path, "test1")
reader = ExcelFile(self.path)
recons = pd.read_excel(reader, "test1", index_col=0)
tm.assert_frame_equal(expected, recons)
def test_to_excel_timedelta(self, engine, ext):
# see gh-19242, gh-9155
#
# Test writing timedelta to xls.
df = DataFrame(np.random.randint(-10, 10, size=(20, 1)),
columns=["A"], dtype=np.int64)
expected = df.copy()
df["new"] = df["A"].apply(lambda x: timedelta(seconds=x))
expected["new"] = expected["A"].apply(
lambda x: timedelta(seconds=x).total_seconds() / float(86400))
df.to_excel(self.path, "test1")
reader = ExcelFile(self.path)
recons = pd.read_excel(reader, "test1", index_col=0)
tm.assert_frame_equal(expected, recons)
def test_to_excel_periodindex(self, engine, ext, tsframe):
xp = tsframe.resample('M', kind='period').mean()
xp.to_excel(self.path, 'sht1')
reader = ExcelFile(self.path)
rs = pd.read_excel(reader, 'sht1', index_col=0)
tm.assert_frame_equal(xp, rs.to_period('M'))
def test_to_excel_multiindex(self, merge_cells, engine, ext, frame):
arrays = np.arange(len(frame.index) * 2).reshape(2, -1)
new_index = MultiIndex.from_arrays(arrays,
names=['first', 'second'])
frame.index = new_index
frame.to_excel(self.path, 'test1', header=False)
frame.to_excel(self.path, 'test1', columns=['A', 'B'])
# round trip
frame.to_excel(self.path, 'test1', merge_cells=merge_cells)
reader = ExcelFile(self.path)
df = pd.read_excel(reader, 'test1', index_col=[0, 1])
tm.assert_frame_equal(frame, df)
# GH13511
def test_to_excel_multiindex_nan_label(self, merge_cells, engine, ext):
df = pd.DataFrame({'A': [None, 2, 3],
'B': [10, 20, 30],
'C': np.random.sample(3)})
df = df.set_index(['A', 'B'])
df.to_excel(self.path, merge_cells=merge_cells)
df1 = pd.read_excel(self.path, index_col=[0, 1])
tm.assert_frame_equal(df, df1)
# Test for Issue 11328. If column indices are integers, make
# sure they are handled correctly for either setting of
# merge_cells
def test_to_excel_multiindex_cols(self, merge_cells, engine, ext, frame):
arrays = np.arange(len(frame.index) * 2).reshape(2, -1)
new_index = MultiIndex.from_arrays(arrays,
names=['first', 'second'])
frame.index = new_index
new_cols_index = MultiIndex.from_tuples([(40, 1), (40, 2),
(50, 1), (50, 2)])
frame.columns = new_cols_index
header = [0, 1]
if not merge_cells:
header = 0
# round trip
frame.to_excel(self.path, 'test1', merge_cells=merge_cells)
reader = ExcelFile(self.path)
df = pd.read_excel(reader, 'test1', header=header, index_col=[0, 1])
if not merge_cells:
fm = frame.columns.format(sparsify=False,
adjoin=False, names=False)
frame.columns = [".".join(map(str, q)) for q in zip(*fm)]
tm.assert_frame_equal(frame, df)
def test_to_excel_multiindex_dates(
self, merge_cells, engine, ext, tsframe):
# try multiindex with dates
new_index = [tsframe.index, np.arange(len(tsframe.index))]
tsframe.index = MultiIndex.from_arrays(new_index)
tsframe.index.names = ['time', 'foo']
tsframe.to_excel(self.path, 'test1', merge_cells=merge_cells)
reader = ExcelFile(self.path)
recons = pd.read_excel(reader, 'test1', index_col=[0, 1])
tm.assert_frame_equal(tsframe, recons)
assert recons.index.names == ('time', 'foo')
def test_to_excel_multiindex_no_write_index(self, engine, ext):
# Test writing and re-reading a MI witout the index. GH 5616.
# Initial non-MI frame.
frame1 = DataFrame({'a': [10, 20], 'b': [30, 40], 'c': [50, 60]})
# Add a MI.
frame2 = frame1.copy()
multi_index = MultiIndex.from_tuples([(70, 80), (90, 100)])
frame2.index = multi_index
# Write out to Excel without the index.
frame2.to_excel(self.path, 'test1', index=False)
# Read it back in.
reader = ExcelFile(self.path)
frame3 = pd.read_excel(reader, 'test1')
# Test that it is the same as the initial frame.
tm.assert_frame_equal(frame1, frame3)
def test_to_excel_float_format(self, engine, ext):
df = DataFrame([[0.123456, 0.234567, 0.567567],
[12.32112, 123123.2, 321321.2]],
index=["A", "B"], columns=["X", "Y", "Z"])
df.to_excel(self.path, "test1", float_format="%.2f")
reader = ExcelFile(self.path)
result = pd.read_excel(reader, "test1", index_col=0)
expected = DataFrame([[0.12, 0.23, 0.57],
[12.32, 123123.20, 321321.20]],
index=["A", "B"], columns=["X", "Y", "Z"])
tm.assert_frame_equal(result, expected)
def test_to_excel_output_encoding(self, engine, ext):
# Avoid mixed inferred_type.
df = DataFrame([["\u0192", "\u0193", "\u0194"],
["\u0195", "\u0196", "\u0197"]],
index=["A\u0192", "B"],
columns=["X\u0193", "Y", "Z"])
with ensure_clean("__tmp_to_excel_float_format__." + ext) as filename:
df.to_excel(filename, sheet_name="TestSheet", encoding="utf8")
result = pd.read_excel(filename, "TestSheet",
encoding="utf8", index_col=0)
tm.assert_frame_equal(result, df)
def test_to_excel_unicode_filename(self, engine, ext):
with ensure_clean("\u0192u." + ext) as filename:
try:
f = open(filename, "wb")
except UnicodeEncodeError:
pytest.skip("No unicode file names on this system")
else:
f.close()
df = DataFrame([[0.123456, 0.234567, 0.567567],
[12.32112, 123123.2, 321321.2]],
index=["A", "B"], columns=["X", "Y", "Z"])
df.to_excel(filename, "test1", float_format="%.2f")
reader = ExcelFile(filename)
result = pd.read_excel(reader, "test1", index_col=0)
expected = DataFrame([[0.12, 0.23, 0.57],
[12.32, 123123.20, 321321.20]],
index=["A", "B"], columns=["X", "Y", "Z"])
tm.assert_frame_equal(result, expected)
# def test_to_excel_header_styling_xls(self, engine, ext):
# import StringIO
# s = StringIO(
# """Date,ticker,type,value
# 2001-01-01,x,close,12.2
# 2001-01-01,x,open ,12.1
# 2001-01-01,y,close,12.2
# 2001-01-01,y,open ,12.1
# 2001-02-01,x,close,12.2
# 2001-02-01,x,open ,12.1
# 2001-02-01,y,close,12.2
# 2001-02-01,y,open ,12.1
# 2001-03-01,x,close,12.2
# 2001-03-01,x,open ,12.1
# 2001-03-01,y,close,12.2
# 2001-03-01,y,open ,12.1""")
# df = read_csv(s, parse_dates=["Date"])
# pdf = df.pivot_table(values="value", rows=["ticker"],
# cols=["Date", "type"])
# try:
# import xlwt
# import xlrd
# except ImportError:
# pytest.skip
# filename = '__tmp_to_excel_header_styling_xls__.xls'
# pdf.to_excel(filename, 'test1')
# wbk = xlrd.open_workbook(filename,
# formatting_info=True)
# assert ["test1"] == wbk.sheet_names()
# ws = wbk.sheet_by_name('test1')
# assert [(0, 1, 5, 7), (0, 1, 3, 5), (0, 1, 1, 3)] == ws.merged_cells
# for i in range(0, 2):
# for j in range(0, 7):
# xfx = ws.cell_xf_index(0, 0)
# cell_xf = wbk.xf_list[xfx]
# font = wbk.font_list
# assert 1 == font[cell_xf.font_index].bold
# assert 1 == cell_xf.border.top_line_style
# assert 1 == cell_xf.border.right_line_style
# assert 1 == cell_xf.border.bottom_line_style
# assert 1 == cell_xf.border.left_line_style
# assert 2 == cell_xf.alignment.hor_align
# os.remove(filename)
# def test_to_excel_header_styling_xlsx(self, engine, ext):
# import StringIO
# s = StringIO(
# """Date,ticker,type,value
# 2001-01-01,x,close,12.2
# 2001-01-01,x,open ,12.1
# 2001-01-01,y,close,12.2
# 2001-01-01,y,open ,12.1
# 2001-02-01,x,close,12.2
# 2001-02-01,x,open ,12.1
# 2001-02-01,y,close,12.2
# 2001-02-01,y,open ,12.1
# 2001-03-01,x,close,12.2
# 2001-03-01,x,open ,12.1
# 2001-03-01,y,close,12.2
# 2001-03-01,y,open ,12.1""")
# df = read_csv(s, parse_dates=["Date"])
# pdf = df.pivot_table(values="value", rows=["ticker"],
# cols=["Date", "type"])
# try:
# import openpyxl
# from openpyxl.cell import get_column_letter
# except ImportError:
# pytest.skip
# if openpyxl.__version__ < '1.6.1':
# pytest.skip
# # test xlsx_styling
# filename = '__tmp_to_excel_header_styling_xlsx__.xlsx'
# pdf.to_excel(filename, 'test1')
# wbk = openpyxl.load_workbook(filename)
# assert ["test1"] == wbk.get_sheet_names()
# ws = wbk.get_sheet_by_name('test1')
# xlsaddrs = ["%s2" % chr(i) for i in range(ord('A'), ord('H'))]
# xlsaddrs += ["A%s" % i for i in range(1, 6)]
# xlsaddrs += ["B1", "D1", "F1"]
# for xlsaddr in xlsaddrs:
# cell = ws.cell(xlsaddr)
# assert cell.style.font.bold
# assert (openpyxl.style.Border.BORDER_THIN ==
# cell.style.borders.top.border_style)
# assert (openpyxl.style.Border.BORDER_THIN ==
# cell.style.borders.right.border_style)
# assert (openpyxl.style.Border.BORDER_THIN ==
# cell.style.borders.bottom.border_style)
# assert (openpyxl.style.Border.BORDER_THIN ==
# cell.style.borders.left.border_style)
# assert (openpyxl.style.Alignment.HORIZONTAL_CENTER ==
# cell.style.alignment.horizontal)
# mergedcells_addrs = ["C1", "E1", "G1"]
# for maddr in mergedcells_addrs:
# assert ws.cell(maddr).merged
# os.remove(filename)
@pytest.mark.parametrize("use_headers", [True, False])
@pytest.mark.parametrize("r_idx_nlevels", [1, 2, 3])
@pytest.mark.parametrize("c_idx_nlevels", [1, 2, 3])
def test_excel_010_hemstring(self, merge_cells, engine, ext,
c_idx_nlevels, r_idx_nlevels, use_headers):
def roundtrip(data, header=True, parser_hdr=0, index=True):
data.to_excel(self.path, header=header,
merge_cells=merge_cells, index=index)
xf = ExcelFile(self.path)
return pd.read_excel(xf, xf.sheet_names[0], header=parser_hdr)
# Basic test.
parser_header = 0 if use_headers else None
res = roundtrip(DataFrame([0]), use_headers, parser_header)
assert res.shape == (1, 2)
assert res.iloc[0, 0] is not np.nan
# More complex tests with multi-index.
nrows = 5
ncols = 3
from pandas.util.testing import makeCustomDataframe as mkdf
# ensure limited functionality in 0.10
# override of gh-2370 until sorted out in 0.11
df = mkdf(nrows, ncols, r_idx_nlevels=r_idx_nlevels,
c_idx_nlevels=c_idx_nlevels)
# This if will be removed once multi-column Excel writing
# is implemented. For now fixing gh-9794.
if c_idx_nlevels > 1:
with pytest.raises(NotImplementedError):
roundtrip(df, use_headers, index=False)
else:
res = roundtrip(df, use_headers)
if use_headers:
assert res.shape == (nrows, ncols + r_idx_nlevels)
else:
# First row taken as columns.
assert res.shape == (nrows - 1, ncols + r_idx_nlevels)
# No NaNs.
for r in range(len(res.index)):
for c in range(len(res.columns)):
assert res.iloc[r, c] is not np.nan
def test_duplicated_columns(self, engine, ext):
# see gh-5235
df = DataFrame([[1, 2, 3], [1, 2, 3], [1, 2, 3]],
columns=["A", "B", "B"])
df.to_excel(self.path, "test1")
expected = DataFrame([[1, 2, 3], [1, 2, 3], [1, 2, 3]],
columns=["A", "B", "B.1"])
# By default, we mangle.
result = pd.read_excel(self.path, "test1", index_col=0)
tm.assert_frame_equal(result, expected)
# Explicitly, we pass in the parameter.
result = pd.read_excel(self.path, "test1", index_col=0,
mangle_dupe_cols=True)
tm.assert_frame_equal(result, expected)
# see gh-11007, gh-10970
df = DataFrame([[1, 2, 3, 4], [5, 6, 7, 8]],
columns=["A", "B", "A", "B"])
df.to_excel(self.path, "test1")
result = pd.read_excel(self.path, "test1", index_col=0)
expected = DataFrame([[1, 2, 3, 4], [5, 6, 7, 8]],
columns=["A", "B", "A.1", "B.1"])
tm.assert_frame_equal(result, expected)
# see gh-10982
df.to_excel(self.path, "test1", index=False, header=False)
result = pd.read_excel(self.path, "test1", header=None)
expected = DataFrame([[1, 2, 3, 4], [5, 6, 7, 8]])
tm.assert_frame_equal(result, expected)
msg = "Setting mangle_dupe_cols=False is not supported yet"
with pytest.raises(ValueError, match=msg):
pd.read_excel(
self.path, "test1", header=None, mangle_dupe_cols=False)
def test_swapped_columns(self, engine, ext):
# Test for issue #5427.
write_frame = DataFrame({'A': [1, 1, 1],
'B': [2, 2, 2]})
write_frame.to_excel(self.path, 'test1', columns=['B', 'A'])
read_frame = pd.read_excel(self.path, 'test1', header=0)
tm.assert_series_equal(write_frame['A'], read_frame['A'])
tm.assert_series_equal(write_frame['B'], read_frame['B'])