DATE,AMOUNT 2022-04-05,100 2022-04-06,10 2022-04-07,90 2022-04-08,75 2022-04-12,32 2022-04-13,400 2022-04-14,28 2022-04-15,50
With a dataset like this, how can I create a bar chart grouped by week so the X axis shows only two bars, april 03 - april 09
and april 11 - april 17
? (Taking into account that the week starts on sundays, even tho there is no data for dates like april 04
)
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Answer
You can use the time units in VegaLite to group observations. week()
will return the week number, but I am not sure there is a way to format the label the way you want without doing it manually via labelExpr
as I have done below.
import pandas as pd import altair as alt df = pd.read_clipboard(sep=',') alt.Chart(df).mark_bar().encode( x='AMOUNT', y=alt.Y( 'week(DATE):O', axis=alt.Axis( labelExpr="datum.label == 'W14' ? 'Apr 04 - Apr 10' : 'Apr 11 - Apr 17'") ) )
You could also compute the labels via pandas first, which is more automatic than the above:
df['DATE'] = pd.to_datetime(df['DATE']) df_by_week = df.resample('W', on ='DATE').sum().reset_index() df_by_week['date_label'] = df_by_week['DATE'].apply( lambda x: f'{(x - pd.Timedelta(days=6)).strftime("%b %d")} - {x.strftime("%B %d")}' ) alt.Chart(df_by_week).mark_bar().encode( x='AMOUNT', y='date_label' )