Reformatting ordinal date value

I am trying to reformat the axis for an ordinal date value to show month year as follows:

alt.Chart(by_district).mark_rect().encode(
    alt.X('month_year:O', title='Month', axis=alt.Axis(format='%b %Y')),
    alt.Y('DISTRICT', title=['Police District'], axis=alt.Axis(grid=False),
          sort=['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12',
                '13', '14', '15', '16', '17', '18', '19', '20', '21', '22',
                '23', '24', '25', '31', '41', '51']),
    alt.Color('isr_count', title=['Total ISRs per Month'])
).properties(
title={
  "text": ["Monthly ISRs by Police District 2016-2018"], 
  "subtitle": ["Total ISRs per month vary across police districts and over time.",
               "Source: Chicago Police Department Investigatory Stop Reports*"]
}
)

The above code does not output anything. When I remove the axis argument in alt.X as follows, my I do get output as shown in the image, but my dates are not formatted as I want them to be (Jan 2016, Feb 2016, etc.). Why might this be happening?

alt.Chart(by_district).mark_rect().encode(
    alt.X('month_year:O', title='Month'),
    alt.Y('DISTRICT', title=['Police District'], axis=alt.Axis(grid=False),
          sort=['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12',
                '13', '14', '15', '16', '17', '18', '19', '20', '21', '22',
                '23', '24', '25', '31', '41', '51']),
    alt.Color('isr_count', title=['Total ISRs per Month'])
).properties(
title={
  "text": ["Monthly ISRs by Police District 2016-2018"], 
  "subtitle": ["Total ISRs per month vary across police districts and over time.",
               "Source: Chicago Police Department Investigatory Stop Reports*"]
}
)

[jakevdp]

Try using a time unit instead of an axis format string; e.g.

alt.X('yearmonth(month_year):O', title='Month')

I think the reason the format string didn’t work is because you’re specifying that your data is of ordinal type, not temporal type.

[chankrista]

Got it, thanks for the speedy assistance!