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Update URLs and field names to match the new vega weather datasets #2310

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Update URLs and field names to match the new vega weather datasets #2310

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6 changes: 3 additions & 3 deletions altair/examples/weather_heatmap.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,17 +8,17 @@
from vega_datasets import data

# Since the data is more than 5,000 rows we'll import it from a URL
source = data.seattle_temps.url
source = data.seattle_weather_hourly_normals.url

alt.Chart(
source,
title="2010 Daily High Temperature (F) in Seattle, WA"
).mark_rect().encode(
x='date(date):O',
y='month(date):O',
color=alt.Color('max(temp):Q', scale=alt.Scale(scheme="inferno")),
color=alt.Color('max(temperature):Q', scale=alt.Scale(scheme="inferno")),
tooltip=[
alt.Tooltip('monthdate(date):T', title='Date'),
alt.Tooltip('max(temp):Q', title='Max Temp')
alt.Tooltip('max(temperature):Q', title='Max Temp')
]
).properties(width=550)
12 changes: 6 additions & 6 deletions doc/user_guide/times_and_dates.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -89,7 +89,7 @@ containing hourly temperatures measured in Seattle:
import altair as alt
from vega_datasets import data

temps = data.seattle_temps()
temps = data.seattle_weather_hourly_normals.url
temps.head()

We can see from the ``dtypes`` attribute that the times are encoded as a standard
Expand All @@ -109,7 +109,7 @@ example, we'll limit ourselves to the first two weeks of data:

alt.Chart(temps).mark_line().encode(
x='date:T',
y='temp:Q'
y='temperature:Q'
)

(notice that for date/time values we use the ``T`` to indicate a temporal
Expand All @@ -128,7 +128,7 @@ x-axis, and day of the month on the y-axis:
alt.Chart(temps).mark_rect().encode(
alt.X('hoursminutes(date):O', title='hour of day'),
alt.Y('monthdate(date):O', title='date'),
alt.Color('temp:Q', title='temperature (F)')
alt.Color('temperature:Q', title='temperature (F)')
)

Unless you are using a non-ES6 browser (See :ref:`note-browser-compliance`),
Expand Down Expand Up @@ -167,7 +167,7 @@ render **according to the timezone of the browser rendering it**:
alt.Chart(temps).mark_rect().encode(
alt.X('hoursminutes(date_pacific):O', title='hour of day'),
alt.Y('monthdate(date_pacific):O', title='date'),
alt.Color('temp:Q', title='temperature (F)')
alt.Color('temperature:Q', title='temperature (F)')
)

If you are viewing this chart on a computer whose time is set to the west coast
Expand Down Expand Up @@ -195,7 +195,7 @@ regardless of the system location:
alt.Chart(temps).mark_rect().encode(
alt.X('utchoursminutes(date_pacific):O', title='UTC hour of day'),
alt.Y('utcmonthdate(date_pacific):O', title='UTC date'),
alt.Color('temp:Q', title='temperature (F)')
alt.Color('temperature:Q', title='temperature (F)')
)

To make your charts as portable as possible (even in non-ES6 browsers which parse
Expand All @@ -210,7 +210,7 @@ in UTC time, both on the Pandas side and on the Vega-Lite side:
alt.Chart(temps).mark_rect().encode(
alt.X('utchoursminutes(date_utc):O', title='hour of day'),
alt.Y('utcmonthdate(date_utc):O', title='date'),
alt.Color('temp:Q', title='temperature (F)')
alt.Color('temperature:Q', title='temperature (F)')
)

This is somewhat less convenient than the default behavior for timezone-agnostic
Expand Down
12 changes: 6 additions & 6 deletions doc/user_guide/transform/timeunit.rst
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Expand Up @@ -36,11 +36,11 @@ measurements in Seattle during the year 2010:
import altair as alt
from vega_datasets import data

temps = data.seattle_temps.url
temps = data.seattle_weather_hourly_normals.url

alt.Chart(temps).mark_line().encode(
x='date:T',
y='temp:Q'
y='temperature:Q'
)

The plot is too busy due to the amount of data points squeezed into the short
Expand All @@ -51,7 +51,7 @@ and plotting only the mean monthly temperature:

alt.Chart(temps).mark_line().encode(
x='month(date):T',
y='mean(temp):Q'
y='mean(temperature):Q'
)

Notice that by default timeUnit output is a continuous quantity; if you would
Expand All @@ -63,7 +63,7 @@ This can be useful when plotting a bar chart or other discrete chart type:

alt.Chart(temps).mark_bar().encode(
x='month(date):O',
y='mean(temp):Q'
y='mean(temperature):Q'
)

Multiple time units can be combined within a single plot to yield interesting
Expand All @@ -75,7 +75,7 @@ to give a profile of Seattle temperatures through the year:
alt.Chart(temps).mark_rect().encode(
alt.X('date(date):O', title='day'),
alt.Y('month(date):O', title='month'),
color='max(temp):Q'
color='max(temperature):Q'
).properties(
title="2010 Daily High Temperatures in Seattle (F)"
)
Expand All @@ -91,7 +91,7 @@ method. For example:

alt.Chart(temps).mark_line().encode(
alt.X('month:T', axis=alt.Axis(format='%b')),
y='mean(temp):Q'
y='mean(temperature):Q'
).transform_timeunit(
month='month(date)'
)
Expand Down