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Dates are not correctly recognized

See original GitHub issue

My dates on x-axis

['2019-05-11T00:00:00.000000000' '2019-05-22T00:00:00.000000000'
 '2019-05-23T00:00:00.000000000' '2019-05-24T00:00:00.000000000'
 '2019-05-25T00:00:00.000000000' '2019-05-27T00:00:00.000000000'
 '2019-05-28T00:00:00.000000000' '2019-05-29T00:00:00.000000000'
 '2019-05-30T00:00:00.000000000' '2019-05-31T00:00:00.000000000'
 '2019-06-01T00:00:00.000000000' '2019-05-21T00:00:00.000000000'
 '2019-05-13T00:00:00.000000000']

Dash / Jupyter won’t plot it. However, if it’s offline mode, I can see the visualization correctly from rendered html file.

Issue Analytics

State:
Created 4 years ago
Comments:6 (4 by maintainers)

Top GitHub Comments

1reaction

nicolaskruchtencommented, Oct 28, 2019

@emmanuelle can you take a look at some of the cases above here and LMK if you agree about the “should work” cases and take a look at why they might not be working please?

@Juanlu001 thanks for the interesting and easy to reproduce bug report 😉

0reactions

nicolaskruchtencommented, Oct 28, 2019

px.line(df.set_index("i"), x=df["i"], y="a") # Doesn't work

This is normal because df.set_index("i") results in a new dataframe, without mutating df.

px.line(df.set_index("i"), x=df.set_index("i").index, y="a") # Doesn't work

This in principle should work although it’s really odd because you’re making two copies of df

px.line(df_i, x=df_i.index, y="a") # Doesn't work

This is probably the recommended way, and should work.

This does work:

px.line(df_i, x=df_i.index, y=df.a)