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),
]
# 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.
from datetime import date
import pandas as pd
import streamlit as st
df = pd.DataFrame({
"index": [
date(2019, 8, 9),
date(2019, 8, 10),
date(2019, 8, 11),
date(2019, 8, 12),
],
"numbers": [10, 50, 30, 40],
})
df.set_index("index", inplace=True)
# st._legacy_area/_legacy_bar/_legacy_line_chart all use Altair/Vega-Lite under the hood.
# By default, Vega-Lite displays time values in the browser's local
# time zone. In `altair.generate_chart`, we explicitly set the time
# display to UTC, so that our results are consistent. This test verifies
# that change!
st._legacy_area_chart(df)
st._legacy_bar_chart(df)
st._legacy_line_chart(df)
data = pd.DataFrame({"a": [1, 2, 3, 4], "b": [1, 3, 2, 4]})
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: