def test_arrow_area_chart(self):
"""Test st._arrow_area_chart."""
df = pd.DataFrame([[20, 30, 50]], columns=["a", "b", "c"])
EXPECTED_DATAFRAME = pd.DataFrame(
[[0, "a", 20], [0, "b", 30], [0, "c", 50]],
index=[0, 1, 2],
columns=["index", "variable", "value"],
)
st._arrow_area_chart(df)
proto = self.get_delta_from_queue().new_element.arrow_vega_lite_chart
chart_spec = json.loads(proto.spec)
self.assertEqual(chart_spec["mark"], "area")
pd.testing.assert_frame_equal(
bytes_to_data_frame(proto.datasets[0].data.data),
EXPECTED_DATAFRAME,
)
def test_st_arrow_area_chart(self):
"""Test st._arrow_area_chart."""
from streamlit.type_util import bytes_to_data_frame
df = pd.DataFrame([[10, 20, 30]], columns=["a", "b", "c"])
EXPECTED_DATAFRAME = pd.DataFrame(
[[0, "a", 10], [0, "b", 20], [0, "c", 30]],
index=[0, 1, 2],
columns=["index", "variable", "value"],
)
st._arrow_area_chart(df, width=640, height=480)
proto = self.get_delta_from_queue().new_element.arrow_vega_lite_chart
chart_spec = json.loads(proto.spec)
self.assertEqual(chart_spec["mark"], "area")
self.assertEqual(chart_spec["width"], 640)
self.assertEqual(chart_spec["height"], 480)
pd.testing.assert_frame_equal(
bytes_to_data_frame(proto.datasets[0].data.data),
EXPECTED_DATAFRAME,
)
def _get_deltas_that_melt_dataframes(self):
return [
lambda df: st._arrow_line_chart(df),
lambda df: st._arrow_bar_chart(df),
lambda df: st._arrow_area_chart(df),
]
spec = {
"mark": "line",
"encoding": {
"x": {"field": "a", "type": "quantitative"},
"y": {"field": "b", "type": "quantitative"},
},
}
# 5 empty charts
st._arrow_vega_lite_chart(spec, use_container_width=True)
fig, ax = plt.subplots()
st.pyplot(fig, use_container_width=True)
st._arrow_line_chart()
st._arrow_bar_chart()
st._arrow_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._arrow_vega_lite_chart({}, use_container_width=True)
except Exception as e:
st.write(e)
try:
st._arrow_vega_lite_chart(data, {}, use_container_width=True)
# Copyright 2018-2021 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._arrow_area_chart(df)