x-limits when domain specified

In this notebook I tried out Altair with a couple datasets and had some questions. All of these are labeled as “BUG or working as intended?” h2s in the notebook. (I realize the last entry is empty… that query took a long time to compute so I stopped there)

X-axis starts at zero when minimum value is much bigger

For this plot, the minimum x-axis data value is 1950 but the x-axis starts at 0. Is that the default? It seems like the limits of the input data should be the limits of the chart.

altair.Chart(subset).mark_line().encode(
    x='Year',
    y='Number of Papers'
)

“Buggy” image:

I was able to fix this with Scale but wanted to report anyway.

altair.Chart(subset).mark_line().encode(
    X('Year', scale=Scale(domain=(2000, 2017))),
    y='Number of Papers'
)

Fixed image:

x-scale applied in X() object but not viewed in chart

For this chart, I specified the Scale for the X() object but it wasn’t applied! I still got the data from 1950 (not from 0 as in the first bug so that’s interesting…)

from altair import LayeredChart

chart = LayeredChart(data, height=100, width=200)

x = X('Year', scale=Scale(domain=(2000, 2017)), 
      axis=Axis(format='d'))
y = Y('Number of Papers', axis=Axis(ticks=5))

chart += Chart().mark_line().encode(x, y )
chart += Chart().mark_circle().encode(x, y)
chart

“Buggy” image:

I was able to fix it with:

from altair import LayeredChart

chart = LayeredChart(data, height=100, width=150)

x = X('Year', scale=Scale(domain=(2000, 2016)), 
      axis=Axis(format='d'))
y = Y('Number of Papers', axis=Axis(ticks=5))

chart += Chart().mark_line().encode(x, y ).transform_data(filter='datum.Year >= 2000')
chart += Chart().mark_circle().encode(x, y).transform_data(filter='datum.Year >= 2000')
chart

Fixed image:

Can’t handle quotes in axes names

This code references a valid column, but there’s no output! If I copy the data with a column name that doesn’t have quotes, then the plot works, so I think it’s the quotation marks.

altair.Chart(singlecell).mark_line().encode(
    x='Year',
    y='Number of "single cell" papers'
)

[jakevdp]

Thanks for these reports! A couple of responses:

1. X-axis starts at zero when minimum value is much bigger

I believe this is a deliberate design choice in Vega-Lite, because one of the most common sources of misleading plot design is cutting-off the zeropoint at some arbitrary value. You can also use Scale(zero=False) to turn this off, I believe.

2. x-scale applied in X() object but not viewed in chart

This is addressed in the documentation here: https://altair-viz.github.io/documentation/config.html#adjusting-axis-limits By design Altair will never hide any of your data points unless you explicitly ask them to be filtered out.

3. Can’t handle quotes in axes names

non-standard characters in column names cause issues in the JSON, but I believe Vega-Lite is addressing that in their new release. See also #161, #169, #284

[olgabot]

1. X-axis starts at zero when minimum value is much bigger

It’s still a weird/unexpected behavior that the x-range always starts at zero. As a user, I’d expect the plot to auto-scale to the data I’d give it. If that’s part of the Vega-Lite spec and not Altair, I’ll take it up with them.

2. x-scale applied in X() object but not viewed in chart

Maybe this is something to address in the documentation, that you recommend filtering data only with transform_data and that Scale should only be used for plot orientation/zooming. Though what if you had ranges from 1-100 and you wanted to zoom in on 20-30. Wouldn’t Scale do the zooming, but the rest of the data be shown? I guess I expected Scale to then pass to transform_data but it seems they’re decoupled, because setting ylim/xlim in matplotlib cuts off the rest of the data too, but I think that’s valid because the user explicitly defined. It just seems weird that you need to specify two things to zoom in on a part of the axis.

3. Can’t handle quotes in axes names

Cool, glad it’s getting addressed!