def test_launch_app_around_df_control_plotter_layout(self):
main(target=self.df,
ui_kind=None,
include_plotter=True,
plotter_layout="HSplit")
main(target=self.df,
ui_kind=None,
include_plotter=True,
plotter_layout="Tabbed")
def test_launch_app_around_hdf_file2(self):
self.filename += ".hdf"
self.df.to_hdf(self.filename, key="data")
main(target=self.filename, ui_kind=None, read_func_kw={"key": "data"})
def test_launch_app_around_excel2_file_custom_sheet(self):
self.filename += ".xlsx"
self.df.to_excel(self.filename, sheet_name="foo")
main(target=self.filename,
ui_kind=None,
read_func_kw={"sheet_name": "foo"})
def test_launch_app_around_excel2_file(self):
self.filename += ".xlsx"
self.df.to_excel(self.filename)
main(target=self.filename, ui_kind=None)
def test_launch_app_around_csv_file(self):
self.filename += ".csv"
self.df.to_csv(self.filename)
main(target=self.filename, ui_kind=None)
def test_launch_app_around_df_include_plotter(self):
main(target=self.df, ui_kind=None, include_plotter=True)
def test_launch_app_around_df_default(self):
main(target=self.df, ui_kind=None)
from pybleau.app.api import main
LEN = 16
initialize_logging(logging_level="DEBUG")
TEST_DF = DataFrame({
"axial disp": [1, 2, 3, 4] * (LEN // 4),
"break point": [1, 2, 3, 4] * (LEN // 4),
# As above but no nan inserted below:
"break point2": sorted([1, 2, 3, 4] * (LEN // 4)),
"correlation": range(1, LEN + 1),
"disposed batch": random.choice(list("abc"), size=LEN),
"efficiency": random.randn(LEN),
"final yield": random.randn(LEN),
"gain": random.randn(LEN),
# Highly repetitive column to split the entire data into 2
"handled": array([0, 1] * (LEN // 2), dtype=bool),
# Same as above but as a string:
"intercepted": array(["F", "T"] * (LEN // 2)),
"jump": sorted(list("abcdefgh") * 2),
"kill": sorted(list("abcd") * 4),
"run_name": list("abcdefghijklmnop"),
})
TEST_DF.iloc[-1, 1] = nan
view_kw = dict(include_plotter=True, plotter_layout="HSplit")
main(TEST_DF, **view_kw)