Here are two approaches.
We'll create a second dataset by shifting the given data by two months:
blossom = {{4, 3}, {4, 22}, {4, 15}, {4, 2}, {4, 18}, {4, 20}, {4,
12}, {3, 30}, {4, 4}, {4, 24}, {4, 26}, {3, 4}, {4, 26}, {4,
13}, {5, 1}, {4, 4}, {4, 8}, {4, 18}, {4, 9}, {4, 19}, {4,
10}, {4, 20}, {4, 3}, {4, 4}, {3, 21}, {4, 19}, {4, 15}, {4,
17}, {4, 9}, {4, 17}, {4, 9}, {4, 8}, {4, 23}, {4, 17}, {4,
1}, {4, 10}, {4, 15}, {4, 15}, {4, 11}, {4, 15}, {4, 19}, {4,
22}, {4, 11}, {4, 4}, {4, 12}, {3, 27}, {3, 24}, {4, 26}, {3,
28}, {4, 16}};
ripen = TranslationTransform[{2, 0}][blossom];
The first method converts the {month, day}
into the number of the day in the year (1 for January 1st, 32 for February 1st, etc...) and creates a histogram from that.
DayOfYear[{m_, d_}] :=
First[DateDifference[{2011, 12, 31}, {2012, m, d}, "Day"]]
{DayOfYear[{1, 1}], DayOfYear[{2, 1}], DayOfYear[{3, 1}]}
{1, 32, 61}
Histogram[{DayOfYear /@ blossom, DayOfYear /@ ripen}, 20]
The second approach is more involved. We convert the {month, day}
values into absolute times, and then use HistogramList
on the combined datasets to get bins and counts without yet constructing the graphic. We then create a corresponding DateListPlot
of the data, for the sole purpose of getting access to how it creates date axes. Finally we combine the ticks from the DateListPlot
with an actual Histogram
, reusing the bins but recalculating the bins for the different datasets, to get the final graphic.
MonthDayToTime[{m_, d_}] := AbsoluteTime[{2012, m, d}]
blossomtimes = MonthDayToTime /@ blossom;
ripentimes = MonthDayToTime /@ ripen;
{bins, counts} = HistogramList[Join[blossomtimes, ripentimes], 20]
points = Transpose[{Riffle[bins, bins], ArrayPad[Riffle[counts, counts], 1]}];
dateplot = DateListPlot[points, Frame -> False, Axes -> True, Joined -> True]
Show[Histogram[{blossomtimes, ripentimes}, {bins}], Options[dateplot, Ticks]]
{month, day}
? $\endgroup$