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Copy pathst_dataframe_sizes.py
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81 lines (65 loc) · 2.07 KB
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# 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
# Explicitly seed the RNG for deterministic results
np.random.seed(0)
st.title("Tables with different sizes")
st.header("Long cells that overflow")
st.write(
"""
Long text should show an ellipsis. All cells should have a tooltip
with their entire un-ellipsized contents.
"""
)
st.dataframe(
{
"foo": ["hello", "world", "foo " * 30],
"bar": ["hello", "world", "bar" * 30],
"baz": [1, 2, 3],
"boz": [1, 2, 3],
"buz": [1, 2, 3],
"biz" * 30: [1, 2, 3],
"bim": [1, 2, 3],
}
)
st.dataframe({"foo": ["hello", "world", "foo " * 30]})
ROWS = 2
st.header("Using st.dataframe")
for cols in [4, 5, 6, 20]:
df = pd.DataFrame(
np.random.randn(ROWS, cols), index=range(ROWS), columns=range(cols)
)
st.dataframe(df)
st.header("Overriding st.dataframe")
for cols in [4, 5, 6, 20]:
df = pd.DataFrame(
np.random.randn(ROWS, cols), index=range(ROWS), columns=range(cols)
)
df_elt = st.dataframe(np.random.randn(200, 200))
df_elt.dataframe(df)
st.header("Using st.table")
for cols in [4, 5, 6, 20]:
df = pd.DataFrame(
np.random.randn(ROWS, cols), index=range(ROWS), columns=range(cols)
)
st.table(df)
st.header("Overriding st.table")
for cols in [4, 5, 6, 20]:
df = pd.DataFrame(
np.random.randn(ROWS, cols), index=range(ROWS), columns=range(cols)
)
df_elt = st.table(np.random.randn(200, 200))
df_elt.table(df)