def test_concat_cell_style_array(self):
"""Test streamlit.data_frame_proto._concat_cell_style_array."""
cell_style1 = CellStyle()
cell_style1.css.extend([_css_style("color", "black")])
cell_style2 = CellStyle()
cell_style2.css.extend([_css_style("vertical-align", "middle")])
style0 = CellStyleArray()
style1 = CellStyleArray()
style1.styles.extend([cell_style1])
style2 = CellStyleArray()
style2.styles.extend([cell_style2])
# Combine 1 and 2
style3 = CellStyleArray()
style3.styles.extend([cell_style1, cell_style2])
# not empty
data_frame_proto._concat_cell_style_array(style1, style2)
self.assertEqual(str(style1), str(style3))
# style0 is empty
data_frame_proto._concat_cell_style_array(style0, style1)
self.assertEqual(str(style0), str(style1))
def get_cell_style(proto_df, col, row):
"""Returns the CellStyle for the given cell, or an empty CellStyle
if no style for the given cell exists
"""
if col >= len(proto_df.style.cols):
return CellStyle()
col_style = proto_df.style.cols[col]
if row >= len(col_style.styles):
return CellStyle()
return col_style.styles[row]
def test_add_rows(self):
"""Test streamlit.data_frame_proto._add_rows."""
# Generic Data
aa = AnyArray()
aa.int64s.data.extend([1, 2])
cell_style = CellStyle()
cell_style.css.extend([_css_style("color", "black")])
style = CellStyleArray()
style.styles.extend([cell_style])
# Delta DataFrame
dt1 = Delta()
dt1.new_element.data_frame.data.cols.extend([aa])
dt1.new_element.data_frame.index.plain_index.data.int64s.data.extend([3, 4])
dt1.new_element.data_frame.columns.plain_index.data.int64s.data.extend([5, 6])
dt1.new_element.data_frame.style.cols.extend([style])
dt2 = Delta()
dt2.new_element.data_frame.data.cols.extend([aa])
dt2.new_element.data_frame.index.plain_index.data.int64s.data.extend([3, 4])
dt2.new_element.data_frame.columns.plain_index.data.int64s.data.extend([5, 6])
dt2.new_element.data_frame.style.cols.extend([style])
combined = Delta()
aa_combined = AnyArray()
aa_combined.int64s.data.extend([1, 2, 1, 2])
style_combined = CellStyleArray()
style_combined.styles.extend([cell_style, cell_style])
combined.new_element.data_frame.data.cols.extend([aa_combined])
row_index = combined.new_element.data_frame.index.plain_index
row_index.data.int64s.data.extend([3, 4, 3, 4])
col_index = combined.new_element.data_frame.columns.plain_index
col_index.data.int64s.data.extend([5, 6])
combined.new_element.data_frame.style.cols.extend([style_combined])
# Test both not empty
data_frame_proto.add_rows(dt1, dt2)
self.assertEqual(dt1, combined)
# Test one empty
dt0 = Delta()
dt0.new_element.data_frame.data.cols.extend([])
data_frame_proto.add_rows(dt0, dt1)
self.assertEqual(str(dt0), str(dt1))
# Test both empty
empty0 = Delta()
empty0.new_element.data_frame.data.cols.extend([])
empty1 = Delta()
empty1.new_element.data_frame.data.cols.extend([])
data_frame_proto.add_rows(empty0, empty1)
self.assertEqual(str(empty0), str(empty1))
# Test different data shapes
diff0 = Delta()
diff0.new_element.data_frame.data.cols.extend([aa, aa])
diff1 = Delta()
diff1.new_element.data_frame.data.cols.extend([aa])
with pytest.raises(ValueError) as e:
data_frame_proto.add_rows(diff0, diff1)
err_msg = "Dataframes have incompatible shapes"
self.assertEqual(err_msg, str(e.value))
