streamlit

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# Copyright (c) Streamlit Inc. (2018-2022) Snowflake Inc. (2022-2024)
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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#     http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import pandas as pd
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import streamlit as st
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"## Table Caption"
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df = pd.DataFrame([["foo", 100], ["bar", 200]])
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styler = df.style.set_caption("The caption")
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st.table(styler)
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"## CategoricalIndex"
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df = pd.DataFrame(
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    [["foo", 100], ["bar", 200]],
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    index=pd.CategoricalIndex([1, 2]),
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)
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st.table(df)
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"## IntervalIndex"
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df = pd.DataFrame(
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    [["foo", 100], ["bar", 200]],
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    index=pd.interval_range(start=0, end=2),
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)
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st.table(df)
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"## MultiIndex Styler"
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df = pd.DataFrame(
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    [["foo", 100], ["bar", 200]],
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    index=[["a", "b"], [1, 2]],
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)
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styler = df.style.highlight_max()
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st.table(styler)
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"## MultiIndex `add_rows()`"
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df1 = pd.DataFrame(
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    [["foo", 100], ["bar", 200]],
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    index=[["a", "b"], [1, 2]],
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)
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df2 = pd.DataFrame(
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    [["baz", 300], ["qux", 400]],
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    index=[["c", "d"], [3, 4]],
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)
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table = st.table(df1)
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table.add_rows(df2)
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"## RangeIndex `step`"
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df = pd.DataFrame(
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    [["foo", 100], ["bar", 200]], index=pd.RangeIndex(start=10, stop=30, step=10)
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)
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st.table(df)
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"## `Pandas.NaT`"
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df = pd.DataFrame([[pd.NaT, 100], [pd.NaT, 200]])
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st.table(df)
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