def test_legacy_area_chart(self):
"""Test dg._legacy_area_chart."""
data = pd.DataFrame([[20, 30, 50]], columns=["a", "b", "c"])
st._legacy_area_chart(data)
element = self.get_delta_from_queue().new_element.vega_lite_chart
chart_spec = json.loads(element.spec)
self.assertEqual(chart_spec["mark"], "area")
self.assertEqual(element.datasets[0].data.data.cols[2].int64s.data[0], 20)
def test_st_legacy_area_chart(self):
"""Test st._legacy_area_chart."""
df = pd.DataFrame([[10, 20, 30]], columns=["a", "b", "c"])
st._legacy_area_chart(df, width=640, height=480)
el = self.get_delta_from_queue().new_element.vega_lite_chart
chart_spec = json.loads(el.spec)
self.assertEqual(chart_spec["mark"], "area")
self.assertEqual(chart_spec["width"], 640)
self.assertEqual(chart_spec["height"], 480)
self.assertEqual(
el.datasets[0].data.columns.plain_index.data.strings.data,
["index", "variable", "value"],
)
data = json.loads(json_format.MessageToJson(el.datasets[0].data.data))
result = [x["int64s"]["data"] for x in data["cols"] if "int64s" in x]
self.assertEqual(result[1], ["10", "20", "30"])
def test_legacy_area_chart_with_pyarrow_table_data(self):
"""Test that an error is raised when called with `pyarrow.Table` data."""
df = pd.DataFrame([[20, 30, 50]], columns=["a", "b", "c"])
with self.assertRaises(StreamlitAPIException):
st._legacy_area_chart(pa.Table.from_pandas(df))
spec = {
"mark": "line",
"encoding": {
"x": {"field": "a", "type": "quantitative"},
"y": {"field": "b", "type": "quantitative"},
},
}
# 5 empty charts
st._legacy_vega_lite_chart(spec, use_container_width=True)
fig, ax = plt.subplots()
st.pyplot(fig, use_container_width=True)
st._legacy_line_chart()
st._legacy_bar_chart()
st._legacy_area_chart()
# 1 empty map
# comment this one out to avoid this Cypress-Mapbox related error.
# ref: https://github.com/cypress-io/cypress/issues/4322
# st.pydeck_chart()
# st.map()
# 6 errors
try:
st._legacy_vega_lite_chart({}, use_container_width=True)
except Exception as e:
st.write(e)
try:
st._legacy_vega_lite_chart(data, {}, use_container_width=True)
# Copyright 2018-2022 Streamlit Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import streamlit as st import numpy as np import pandas as pd data = np.random.randn(20, 3) df = pd.DataFrame(data, columns=["a", "b", "c"]) st._legacy_area_chart(df)
def _get_deltas_that_melt_dataframes(self):
return [
lambda df: st._legacy_line_chart(df),
lambda df: st._legacy_bar_chart(df),
lambda df: st._legacy_area_chart(df),
]
