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import itertools
import streamlit as st
import pandas as pd
import numpy as np
st.set_page_config(page_title="Streamlit Theme for Charts", page_icon="🗃")
def icon(emoji: str):
"""Shows an emoji as a Notion-style page icon."""
st.write(
f'<span style="font-size: 78px; line-height: 1">{emoji}</span>',
unsafe_allow_html=True,
)
HEADER_COLOR_CYCLE = itertools.cycle(
[
"#00c0f2", # light-blue-70",
"#ffbd45", # "orange-70",
"#00d4b1", # "blue-green-70",
"#1c83e1", # "blue-70",
"#803df5", # "violet-70",
"#ff4b4b", # "red-70",
"#21c354", # "green-70",
"#faca2b", # "yellow-80",
]
)
def space(num_lines=1):
"""Adds empty lines to the Streamlit app."""
for _ in range(num_lines):
st.write("")
def colored_header(label, description=None, color=None):
"""Shows a header with a colored underline and an optional description."""
space(num_lines=2)
if color is None:
color = next(HEADER_COLOR_CYCLE)
st.subheader(label)
st.write(
f'<hr style="background-color: {color}; margin-top: 0; margin-bottom: 0; height: 3px; border: none; border-radius: 3px;">',
unsafe_allow_html=True,
)
if description:
st.caption(description)
icon("🗃")
st.title("Tab Container Prototype")
def space(num_lines=1):
"""Adds empty lines to the Streamlit app."""
for _ in range(num_lines):
st.write("")
@st.experimental_memo
def get_data():
return pd.DataFrame(np.random.randn(20, 5), columns=["a", "b", "c", "d", "e"])
if "tabs" not in st.session_state:
st.session_state["tabs"] = ["Filter Data", "Raw Data", "📈 Chart"]
if "tabs_sidebar" not in st.session_state:
st.session_state["tabs_sidebar"] = False
with st.expander("Show code"):
st.code("""
import streamlit as st
import pandas as pd
import numpy as np
@st.experimental_memo
def get_data():
return pd.DataFrame(np.random.randn(20, 3), columns=["a", "b", "c"])
tab1, tab2, tab3 = st.tabs(["Filter Data", "Raw Data", "📈 Chart"])
with tab1:
col = st.selectbox("Select column", options=["a", "b", "c"])
filter = st.slider("Filter range", -2.5, 2.5, (-2.0, 2.0), step=0.01)
filter_query = f"{filter[0]} < {col} < {filter[1]}"
with tab2:
st.dataframe(get_data().query(filter_query))
with tab3:
st.line_chart(get_data().query(filter_query))
""")
tabs = st.tabs(st.session_state["tabs"])
with tabs[0]:
col = st.selectbox("Select column", options=["a", "b", "c"])
filter = st.slider("Filter range", -2.5, 2.5, (-2.0, 2.0), step=0.01)
filter_query = f"{filter[0]} < {col} < {filter[1]}"
with tabs[1]:
st.dataframe(get_data().query(filter_query), height=300)
with tabs[2]:
st.line_chart(get_data().query(filter_query))
if st.session_state["tabs_sidebar"]:
tab1, tab2 = st.sidebar.tabs(["Tab 1", "Tab 2"])
data = np.random.randn(10, 1)
tab1.write("this is tab 1")
tab2.write("this is tab 2")
space(num_lines=2)
colored_header("Tabs Configruations")
new_tab = st.text_input("Tab label", "New Tab")
if st.button("Add tab"):
st.session_state["tabs"].append(new_tab)
st.experimental_rerun()
if st.button("Add tabs container to sidebar"):
st.session_state["tabs_sidebar"] = True
st.experimental_rerun() |