Experiencing the same issue here. Not sure how this could be considered not a bug. There is no reason that every bar chart should be sorted by their index column as it severely limits the usability of the built in bar_chart. The API also has not been updated in any way to reflect this unusual behavior in the 4 years since this bug was closed.

same but it seems to me that it’s not a bug, but feature, bad feature. It would be very nice if developers add to bar_chart argument ‘order’, that will change order of bars

Just a heads up to anyone using the Altair workaround and trying to get the chart to use the full width of the container like a regular st syntax would.

I used st.write as per workaround, which would produce an Altair chart of width 300px. Following Altair docs I tried setting `.properties(width=‘container’) but this made the chart disappear.

Instead of st.write() I swapped it out for st.altair_chart() as per st.altair_chart documentation and passed use_container_width=True and that gave me the scaling behavior I was looking for.

My code for reference:

st.altair_chart(alt.Chart(df).mark_bar().encode(
    x=alt.X('weekday', sort=None, title="Day of week"),
    y=alt.Y('count', title="Count"),
), use_container_width=True)

Im using plotly to make the plots instead of builtin function

Hi @dcaminos

I believe the original bug report is correct. Let’s consider the following example. I have a dataframe with the following data. It has already been sorted according to the average_salary column.

               name  average_salary
0           Finance          7500.0
1         Marketing          6633.0
2  Customer Service          5350.0
3             Sales          5267.0
4       Engineering          5100.0

I show the table and the chart using this code:

st.dataframe(df)
st.bar_chart(df, x=df.columns[0])

Output:

As you can see, the chart sorts the x axis alphabetically, leading to inconsistent results. The expectation is that it should leave the order of the elements untouched. Please reopen the bug if you agree.

same problem !

same problem

same problem.

Same Issue…