Created
January 14, 2020 06:55
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Altair - Setting a custom date domain for the x axis
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import altair as alt | |
import pandas as pd | |
import datetime | |
df = pd.DataFrame( [ | |
{"position": 40, "date": datetime.date(2019,9,5)}, | |
{"position": 31, "date": datetime.date(2019,9,12)}, | |
{"position": 19, "date": datetime.date(2019,9,19)}, | |
{"position": 14, "date": datetime.date(2019,9,26)}, | |
{"position": 7, "date": datetime.date(2019,10,3)}, | |
{"position": 1, "date": datetime.date(2019,10,10)}, | |
{"position": 1, "date": datetime.date(2019,10,17)}, | |
{"position": 1, "date": datetime.date(2019,10,24)}, | |
]) | |
df["date"] = pd.to_datetime(df["date"]) | |
chart = alt.Chart(df).mark_point(color="red").encode( | |
x='date', | |
y='position') | |
chart.save("chart.html") | |
# domain is Pandas index | |
domain_pd = pd.to_datetime(['2019-01-01', '2019-12-31']).astype(int) / 10 ** 6 | |
chart = alt.Chart(df).mark_point(color="red").encode( | |
x=alt.X('date:T', timeUnit='yearmonthdate', scale=alt.Scale(domain=list(domain_pd))), | |
y='position') | |
chart.save("chart.html") | |
# domain is start and end dates | |
domain = ["2019-01-01", "2019-12-31"] | |
chart = alt.Chart(df).mark_point(color="red").encode( | |
x=alt.X('date:T', timeUnit='yearmonthdate', scale=alt.Scale(domain=domain)), | |
y='position') | |
chart.save("chart.html") |
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