I am trying to plot data for each day. Depending on the selection of the data it can be a few days, or multiple months. In both cases i want the same scale (1 bar per day)
I can plot the data per day with no problem. The chart is also scrollable, but if i have selected multiple month, it still only shows 30 days. If i scroll left/right, there is no data. What am i missing?
timeunit='date'
a = alt.Chart(data).mark_bar(opacity=0.6).encode(
x=alt.X('date(Gemeldet_Am):T',
timeUnit=timeunit,
axis=alt.Axis(title='Zeitfenster', grid=False)),
y=alt.Y('count(ABC):Q',
axis=alt.Axis(title='Number of calls',grid=True)),color='mean(Sentiment):Q',
tooltip=[alt.Tooltip('count(ABC):Q'),
alt.Tooltip('mean(Sentiment):Q',title='Sentiment')]).interactive()
b = alt.Chart(data).mark_line(color='orange', interpolate='monotone').encode(
x=alt.X('date(Gemeldet_Am):T',
timeUnit=timeunit),
y='mean(Sentiment):Q').interactive()
It works for me if I define the bar size and the step size:
alt.Chart(df).mark_bar(width=20)\
.encode(...)
.properties(with=alt.Step(30))
now each bar will have a width of 20 pixels and will take 30 pixels width. The total width of your chart will have 30 * number of columns. You will get a horizontal scroll bar if it does not fit your browser window.
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