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test_dataframeeditor.py
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292 lines (246 loc) · 9.47 KB
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# SPDX-FileCopyrightText: 2021-2024 Helmholtz-Zentrum hereon GmbH
#
# SPDX-License-Identifier: LGPL-3.0-only
# -*- coding: utf-8 -*-
"""Test module for the :mod:`psyplot_gui.dataframeeditor` module"""
import sys
import unittest
import _base_testing as bt
import numpy as np
import pandas as pd
import six
from pandas.testing import assert_frame_equal
from psyplot_gui.compat.qtcompat import QApplication, Qt
if six.PY2:
try:
import CStringIO as io
except ImportError:
import StringIO as io
else:
import io
def df_equals(df, df_ref, *args, **kwargs):
"""Simple wrapper around assert_frame_equal to use unittests assertion
Parameters
----------
df: pd.DataFrame
The simulation data frame
df_ref: pd.DataFrame
The reference data frame
Returns
-------
None or Exception
Either None if everything went fine, otherwise the raised Exception"""
try:
assert_frame_equal(df, df_ref, *args, **kwargs)
except Exception as e:
return e
class DataFrameEditorTest(bt.PsyPlotGuiTestCase):
#: The :class:`psyplot_gui.dataframeeditor.DataFrameEditor`
editor = None
@property
def table(self):
return self.editor.table
@property
def model(self):
return self.table.model()
def setUp(self):
super(DataFrameEditorTest, self).setUp()
self.editor = self.window.new_data_frame_editor()
def tearDown(self):
self.editor = None
def test_dtypes(self):
df = pd.DataFrame(
[
[True, "bool"],
[1 + 1j, "complex"],
["test", "string"],
[1.11, "float"],
[1, "int"],
[np.random.rand(3, 3), "Unkown type"],
["áéí", "unicode"],
],
index=["a", "b", np.nan, np.nan, np.nan, "c", "d"],
columns=[np.nan, "Type"],
)
self.editor.set_df(df)
self.assertIs(self.table.model().df, df)
def test_multiindex(self):
"""Test the handling of DataFrames with MultiIndex"""
df = pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=list("abc"))
self.editor.set_df(df)
self.assertTrue(self.model.index_editable)
self.assertTrue(self.editor.cb_index_editable.isChecked())
table = self.table
table.selectColumn(1)
table.set_index_action.trigger()
self.assertEqual(list(df.index.names), ["a"])
self.assertTrue(self.model.index_editable)
self.assertTrue(self.editor.cb_index_editable.isChecked())
table.selectColumn(2)
table.append_index_action.trigger()
self.assertEqual(list(df.index.names), ["a", "b"])
self.assertFalse(self.model.index_editable)
self.assertFalse(self.editor.cb_index_editable.isChecked())
table.selectColumn(1)
table.set_index_action.trigger()
self.assertEqual(list(df.index.names), ["index"])
self.assertEqual(list(df.columns), list("abc"))
self.assertTrue(self.model.index_editable)
self.assertTrue(self.editor.cb_index_editable.isChecked())
def test_sort(self):
"""Test the sorting"""
df = pd.DataFrame(
[[4, 5, 6 + 1j], [1, object, 3]], columns=list("abc")
)
self.editor.set_df(df)
self.assertTrue(self.model.sort(1, return_check=True))
self.assertEqual(list(df.index.values), [1, 0])
self.assertTrue(self.model.sort(0, return_check=True))
self.assertEqual(list(df.index.values), [0, 1])
# test complex numbers
self.assertTrue(
self.model.sort(3, Qt.AscendingOrder, return_check=True)
)
self.assertEqual(list(df["c"].values), [3 + 0j, 6 + 1j])
self.assertTrue(
self.model.sort(3, Qt.DescendingOrder, return_check=True)
)
self.assertEqual(list(df["c"].values), [6 + 1j, 3 + 0j])
# sorting is not enabled
self.table.sortByColumn(1)
self.assertEqual(list(df["a"]), [4, 1])
# enable sorting
self.table.setSortingEnabled(True)
self.table.header_class.setSortIndicator(1, Qt.AscendingOrder)
self.table.sortByColumn(1)
self.assertEqual(list(df["a"]), [1, 4])
self.table.header_class.setSortIndicator(1, Qt.DescendingOrder)
self.table.sortByColumn(1)
self.assertEqual(list(df["a"]), [4, 1])
@unittest.expectedFailure
def test_sort_failure(self):
df = pd.DataFrame(
[[4, 5, 6 + 1j], [1, object, 3]], columns=list("abc")
)
self.editor.set_df(df)
# test false sorting
if not six.PY2:
self.assertFalse(self.model.sort(2, return_check=True))
@unittest.expectedFailure
def test_sort_failure_2(self):
df = pd.DataFrame(
[[4, 5, 6 + 1j], [1, object, 3]], columns=list("abc")
)
self.editor.set_df(df)
# test a column that cannot be sorted
self.table.setSortingEnabled(True)
self.table.sortByColumn(2)
def test_edit(self):
"""Test the editing of the editor"""
df = pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=list("abc"))
self.editor.set_df(df)
table = self.table
# edit a regular cell
table.selectRow(0)
idx = table.selectedIndexes()[2] # first row, second column
self.model.setData(idx, 4)
self.assertEqual(df.iloc[0, 1], 4)
# now edit the index
table.selectRow(1)
idx = table.selectedIndexes()[0] # first row, second column
self.model.setData(idx, 6)
self.assertEqual(df.index[1], 6)
# now we change a data type
table.selectColumn(2)
table.dtype_actions["To float"].trigger()
self.assertIs(df.dtypes["b"], np.array(5.4).dtype)
def test_large_df(self):
df = pd.DataFrame(np.zeros((int(1e6), 100)))
self.editor.set_df(df)
model = self.model
self.assertLess(model.rows_loaded, df.shape[0])
self.assertLess(model.cols_loaded, df.shape[1])
self.assertEqual((model.total_rows, model.total_cols), df.shape)
self.assertTrue(model.can_fetch_more(rows=True, columns=True))
old_rows, old_cols = model.rows_loaded, model.cols_loaded
self.table.load_more_data(
self.table.verticalScrollBar().maximum(), rows=True
)
self.table.load_more_data(
self.table.horizontalScrollBar().maximum(), columns=True
)
self.assertGreater(model.rows_loaded, old_rows)
self.assertGreater(model.cols_loaded, old_cols)
self.assertLess(model.rows_loaded, df.shape[0])
self.assertLess(model.cols_loaded, df.shape[1])
def test_insert_rows_above(self):
df = pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=list("abc"))
self.editor.set_df(df)
# insert one row
self.table.selectRow(1)
self.table.insert_row_above_action.trigger()
self.assertEqual(df.shape, (3, 3))
self.assertEqual(list(df.index), [0, 0, 1])
self.assertTrue(
np.isnan(df.iloc[1, :].values).all(), msg=str(df.iloc[1, :])
)
# insert two rows
self.model.insertRows(2, 2)
self.assertEqual(df.shape, (5, 3))
self.assertEqual(list(df.index), [0, 0, 0, 0, 1])
self.assertTrue(
np.isnan(df.iloc[2:-1, :].values).all(), msg=str(df.iloc[2:-1, :])
)
def test_insert_rows_below(self):
df = pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=list("abc"))
self.editor.set_df(df)
# insert one row
self.table.selectRow(1)
self.table.insert_row_below_action.trigger()
self.assertEqual(df.shape, (3, 3))
self.assertEqual(list(df.index), [0, 1, 1])
self.assertTrue(
np.isnan(df.iloc[2, :].values).all(), msg=str(df.iloc[2, :])
)
# insert two rows
self.model.insertRows(3, 2)
self.assertEqual(df.shape, (5, 3))
self.assertEqual(list(df.index), [0, 1, 1, 1, 1])
self.assertTrue(
np.isnan(df.iloc[-2:, :].values).all(), msg=str(df.iloc[-2:, :])
)
def test_copy(self):
df = pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=list("abc"))
self.editor.set_df(df)
self.table.selectAll()
self.table.copy()
clipboard = QApplication.clipboard()
stream = io.StringIO(clipboard.text())
df2 = pd.read_csv(stream, delim_whitespace=True)
self.assertIsNone(df_equals(df2, df))
self.table.selectColumn(1)
self.table.copy()
stream = io.StringIO(clipboard.text())
arr = np.loadtxt(stream)
self.assertEqual(arr.tolist(), [1, 4])
@unittest.skipIf(
sys.platform == "win32",
"Avoid potential troubles with temporary csv files.",
)
def test_open_dataframe(self):
"""Test the opening of a dataframe"""
from tempfile import NamedTemporaryFile
df = pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=list("abc"))
self.editor.open_dataframe(df)
self.editor.open_dataframe("")
f = NamedTemporaryFile(suffix=".csv")
df.to_csv(f.name, index=False)
self.editor.open_dataframe(f.name)
self.assertIsNone(df_equals(self.model.df, df))
@unittest.expectedFailure
def test_open_nonexistent(self):
self.editor.open_dataframe("NONEXISTENT.csv")
self.assertIsNone(self.model.df)
def test_close(self):
self.editor.close()
self.assertFalse(self.window.dataframeeditors)