Trying to swap order of columns in histogram.
data = {'Age group': {0: '0 - 4', 1: '12 - 16', 2: '5 - 11', 3: 'not specified'},
'Count': {0: 81.0, 1: 86.0, 2: 175.0, 3: 0.0}}
dp = pd.DataFrame(data)
alt.Chart(dp).mark_bar().encode(
x=alt.X('Age group:N', title='Age group'),
y='Count:Q',
tooltip=['Age group', 'Count']
).properties(title='Number of children in voucher', width=400)
Just want to swap the order and can't find a way of doing it.
The Alt.X
schema has a sort
parameter that accepts an array specifying the field values in preferred order :
X_ORDER = ["0 - 4", "5 - 11", "12 - 16", "not specified"] # >> set an order
alt.Chart(dp).mark_bar().encode(
x=alt.X(
"Age group:N",
title="Age group",
sort=X_ORDER, # >> add this line
),
y="Count:Q",
tooltip=["Age group", "Count"],
).properties(title="Number of children in voucher", width=400)
Output :