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Generated documentation Website for Altair; source can be found at http://github.com/altair-viz/altair/

HTML 99.92% CSS 0.04% JavaScript 0.05%

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altair-viz.github.io's Issues

Gallery Examples Using Movies Data Don't Display

In the example gallery, under area charts, the Cumulative Count Chart isn't displaying
https://altair-viz.github.io/gallery/cumulative_count_chart.html

The field name needs updated from "IMDB_Rating" to "IMDB Rating"

The Binned Heatmap is another example that uses this dataset and needs underscores replaced with spaces to work
https://altair-viz.github.io/gallery/binned_heatmap.html

Using one label for a facet grid not documented

Using one label for an entire facet grid is not documented in Adjusting Axis Labels.

How can I make this plot only use one y-label?

MWE

import pandas as pd
import altair as alt


data = [{"P": "HD", "T": 0,  "C":100, "Max": 1},
        {"P": "HD", "T": 0,  "C":400, "Max": 3},
        {"P": "HD", "T": 0,  "C":800, "Max": 0},
        {"P": "HD", "T": 23, "C":100, "Max": 2},
        {"P": "HD", "T": 23, "C":400, "Max": 1},
        {"P": "HD", "T": 23, "C":800, "Max": 1},
        {"P": "HD", "T": 80, "C":100, "Max": 7},
        {"P": "HD", "T": 80, "C":400, "Max": 2},
        {"P": "HD", "T": 80, "C":800, "Max": 1},
        {"P": "LD", "T": 0,  "C":100, "Max": 1},
        {"P": "LD", "T": 0,  "C":400, "Max": 2},
        {"P": "LD", "T": 0,  "C":800, "Max": 7},
        {"P": "LD", "T": 23, "C":100, "Max": 7},
        {"P": "LD", "T": 23, "C":400, "Max": 1},
        {"P": "LD", "T": 23, "C":800, "Max": 0},
        {"P": "LD", "T": 80, "C":100, "Max": 2},
        {"P": "LD", "T": 80, "C":400, "Max": 0},
        {"P": "LD", "T": 80, "C":800, "Max": 1}]

df = pd.DataFrame(data)

chart = alt.Chart(df).mark_bar().encode(
    x="P:N",
    y=alt.Y("Max:Q", title="Maximum Long Word Observed (units)"),
    color="P:N",
    row="T:N",
    column="C:N"
).properties(width=100, height=100)

     P   T    C  Max
0   HD   0  100    1
1   HD   0  400    3
2   HD   0  800    0
3   HD  23  100    2
4   HD  23  400    1
5   HD  23  800    1
6   HD  80  100    7
7   HD  80  400    2
8   HD  80  800    1
9   LD   0  100    1
10  LD   0  400    2
11  LD   0  800    7
12  LD  23  100    7
13  LD  23  400    1
14  LD  23  800    0
15  LD  80  100    2
16  LD  80  400    0
17  LD  80  800    1

properties() method not documented

I'm reading through Encodings and noticed the awesome properties() method.

Where do I find documentation on this?

I would have expected first mention of it to be hyperlinked. It does not come up in searches on the docs page

DOC: Link to altair-viz.github.io in project and org descriptions

A link to https://altair-viz.github.io/ in the org and project descriptions would be helpful.

DOC: Gallery: How to open interactive charts

How do I open these interactive charts? (Why don't they work in Sphinx? Is Launch in Binder the best or only way to open them?)

https://altair-viz.github.io/gallery/index.html#interactive-charts

Automated Build Schedule

I am curious how often the website gets updated?

I know the source of the content comes from the main repository at https://github.com/altair-viz/altair but is the release schedule automated, or do you manually publish when there is a substantial change?

How facet resolves multiple records for the facetted parameter not documented

Please let me know if there is a forum specifically for Altair questions and help and I will move this there.

I haven't been able to find in the documentation how facet resolves multiple entries for the facetted parameter.

In the MWE below, what does facet() do when it encounters 3 entries where P = HD, and T = 0, yet only plots one value at HD, 0 in the t_facet (T) plot.

Is this just a flawed plot?

MWE

import pandas as pd
import altair as alt


data = [{"P": "HD", "T": 0,  "C":100, "Max": 1},
        {"P": "HD", "T": 0,  "C":400, "Max": 3},
        {"P": "HD", "T": 0,  "C":800, "Max": 0},
        {"P": "HD", "T": 23, "C":100, "Max": 2},
        {"P": "HD", "T": 23, "C":400, "Max": 1},
        {"P": "HD", "T": 23, "C":800, "Max": 1},
        {"P": "HD", "T": 80, "C":100, "Max": 7},
        {"P": "HD", "T": 80, "C":400, "Max": 2},
        {"P": "HD", "T": 80, "C":800, "Max": 1},
        {"P": "LD", "T": 0,  "C":100, "Max": 1},
        {"P": "LD", "T": 0,  "C":400, "Max": 2},
        {"P": "LD", "T": 0,  "C":800, "Max": 7},
        {"P": "LD", "T": 23, "C":100, "Max": 7},
        {"P": "LD", "T": 23, "C":400, "Max": 1},
        {"P": "LD", "T": 23, "C":800, "Max": 0},
        {"P": "LD", "T": 80, "C":100, "Max": 2},
        {"P": "LD", "T": 80, "C":400, "Max": 0},
        {"P": "LD", "T": 80, "C":800, "Max": 1}]

df = pd.DataFrame(data)

chart = alt.Chart(df).mark_bar().encode(x="P:N", y="Max:Q", color="P:N")

t_facet = chart.facet("T:N")
c_facet = chart.facet("C:N")

     P   T    C  Max
0   HD   0  100    1
1   HD   0  400    3
2   HD   0  800    0
3   HD  23  100    2
4   HD  23  400    1
5   HD  23  800    1
6   HD  80  100    7
7   HD  80  400    2
8   HD  80  800    1
9   LD   0  100    1
10  LD   0  400    2
11  LD   0  800    7
12  LD  23  100    7
13  LD  23  400    1
14  LD  23  800    0
15  LD  80  100    2
16  LD  80  400    0
17  LD  80  800    1

Layered Histogram example does not take into account null values

Issue

This is based on the issue #2411 that I originally posted in the altair repo.

The method for making layered histograms suggested on altair-viz.github.io seems to fail to take into account null values within the range of the data: bins that should be empty are represented as having 1 observation.

Examples

Altair:

import pandas as pd
import altair as alt
import numpy as np

np.random.seed(42)

# Generating Data
source = pd.DataFrame({
    'Trial A': np.random.normal(0, 0.8, 1000),
    'Trial B': np.random.normal(-2, 1, 1000),
    'Trial C': np.random.normal(3, 2, 1000)
})

alt.Chart(source).transform_fold(
    ['Trial A', 'Trial B', 'Trial C'],
    as_=['Experiment', 'Measurement']
).mark_area(
    opacity=0.3,
    interpolate='step'
).encode(
    alt.X('Measurement:Q', bin=alt.Bin(maxbins=100)),
    alt.Y('count()', stack=None),
    alt.Color('Experiment:N')
)