如何在 streamlit 中的列内绘制图表
How can I plot graphs inside columns in streamlit
我试过下面的方法-
col1, col2, col3 = st.beta_columns(3)
col1.header = "confirmed"
col1.write("col1")
fig_con = alt.Chart(df).mark_line().encode(
alt.X("days"),
alt.Y("confirmed")
)
col1.st.altair_chart(fig_con)
col2.header = "recovered"
col2.write("col2")
fig_rec = alt.Chart(df).mark_line().encode(
alt.X("days"),
alt.Y("recovered")
)
col2.st.altair_chart(fig_rec)
col3.header = "deceased"
col3.write("col3")
fig_dec = alt.Chart(df).mark_line().encode(
alt.X("days"),
alt.Y("deceased")
)
col3.st.altair_chart(fig_dec)
但这似乎是错误的语法。
如果我这样做-
col1, col2, col3 = st.beta_columns(3)
col1.header = "confirmed"
col1.write("col1")
fig_con = alt.Chart(df).mark_line().encode(
alt.X("days"),
alt.Y("confirmed")
)
st.altair_chart(fig_con)
col2.header = "recovered"
col2.write("col2")
fig_rec = alt.Chart(df).mark_line().encode(
alt.X("days"),
alt.Y("recovered")
)
st.altair_chart(fig_rec)
col3.header = "deceased"
col3.write("col3")
fig_dec = alt.Chart(df).mark_line().encode(
alt.X("days"),
alt.Y("deceased")
)
st.altair_chart(fig_dec)
这将它们绘制在另一个下方。
这方面的文档有点缺乏,因为列功能处于测试阶段。
使用with col:
with col1:
col1.header = "confirmed"
col1.write("col1")
fig_con = alt.Chart(df).mark_line().encode(
alt.X("days"),
alt.Y("confirmed")
)
st.altair_chart(fig_con)
with col2:
col2.header = "recovered"
col2.write("col2")
fig_rec = alt.Chart(df).mark_line().encode(
alt.X("days"),
alt.Y("recovered")
)
st.altair_chart(fig_rec)
with col3:
col3.header = "deceased"
col3.write("col3")
fig_dec = alt.Chart(df).mark_line().encode(
alt.X("days"),
alt.Y("deceased")
)
st.altair_chart(fig_dec)
我试过下面的方法-
col1, col2, col3 = st.beta_columns(3)
col1.header = "confirmed"
col1.write("col1")
fig_con = alt.Chart(df).mark_line().encode(
alt.X("days"),
alt.Y("confirmed")
)
col1.st.altair_chart(fig_con)
col2.header = "recovered"
col2.write("col2")
fig_rec = alt.Chart(df).mark_line().encode(
alt.X("days"),
alt.Y("recovered")
)
col2.st.altair_chart(fig_rec)
col3.header = "deceased"
col3.write("col3")
fig_dec = alt.Chart(df).mark_line().encode(
alt.X("days"),
alt.Y("deceased")
)
col3.st.altair_chart(fig_dec)
但这似乎是错误的语法。
如果我这样做-
col1, col2, col3 = st.beta_columns(3)
col1.header = "confirmed"
col1.write("col1")
fig_con = alt.Chart(df).mark_line().encode(
alt.X("days"),
alt.Y("confirmed")
)
st.altair_chart(fig_con)
col2.header = "recovered"
col2.write("col2")
fig_rec = alt.Chart(df).mark_line().encode(
alt.X("days"),
alt.Y("recovered")
)
st.altair_chart(fig_rec)
col3.header = "deceased"
col3.write("col3")
fig_dec = alt.Chart(df).mark_line().encode(
alt.X("days"),
alt.Y("deceased")
)
st.altair_chart(fig_dec)
这将它们绘制在另一个下方。
这方面的文档有点缺乏,因为列功能处于测试阶段。
使用with col:
with col1:
col1.header = "confirmed"
col1.write("col1")
fig_con = alt.Chart(df).mark_line().encode(
alt.X("days"),
alt.Y("confirmed")
)
st.altair_chart(fig_con)
with col2:
col2.header = "recovered"
col2.write("col2")
fig_rec = alt.Chart(df).mark_line().encode(
alt.X("days"),
alt.Y("recovered")
)
st.altair_chart(fig_rec)
with col3:
col3.header = "deceased"
col3.write("col3")
fig_dec = alt.Chart(df).mark_line().encode(
alt.X("days"),
alt.Y("deceased")
)
st.altair_chart(fig_dec)