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I am trying to use plotly with streamlit. I want to add error bars to my data. The y axis is a date, and I have start and end date, therefore, I compute the timedelta. Then, I use total_seconds and multiply by 1000 to get the error. See my code:

    df["date_finish"] = pd.to_datetime(df.date_finish)
    df["date_start"] = pd.to_datetime(df.date_start)
    df["date_delta"] = (df["date_finish"] - df["date_start"]) / 2
    df["center_date"] = df["date_start"] + df["date_delta"]
    df["date_error"] = df.date_delta.dt.total_seconds() * 1000
    fig = px.scatter(
        df,
        x="my_data",
        y="center_date",
        color="categories",
        error_x="data_error",
        error_y="date_error",
    )
    st.plotly_chart(fig)

This is, however, not working, neither does it work to use timedelta (as it should work ideally). What am I doing wrong?

I have checked, and this is my error date values:

df.date_error.describe()
count    6.300000e+01
mean     3.099296e+06
std      2.830500e+05
min      2.801949e+06
25%      2.813138e+06
50%      3.113366e+06
75%      3.405682e+06
max      4.026567e+06
Improve this question
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  • What do you mean by it didn't work ? can you provide a toy dataset to test your code ? Commented Jan 26 at 9:05
  • No error bars, as if the parameter was none existent. Commented Jan 27 at 10:02
  • Have you tried outside of streamlit with fig.show() ? a few rows of your data is needed. Commented Jan 27 at 21:12
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