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MyPlot.cpp
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#include "PlotCtrl.h"
#include "MobiView2.h"
#include "Statistics.h"
using namespace Upp;
std::vector<Color> Plot_Colors::colors = {{0, 130, 200}, {230, 25, 75}, {245, 130, 48}, {145, 30, 180}, {60, 180, 75},
{70, 240, 240}, {240, 50, 230}, {210, 245, 60}, {250, 190, 190}, {0, 128, 128}, {230, 190, 255},
{170, 110, 40}, {128, 0, 0}, {170, 255, 195}, {128, 128, 0}, {255, 215, 180}, {0, 0, 128}, {255, 225, 25}};
MyPlot::MyPlot() {
//SetFastViewX(true); Can't be used with scatter plot data since it combines points.
//SetSequentialXAll(true); // NOTE: with this on, lines that clip the plot area to the left
//are culled :( . Doesn't seem to matter that much to speed though, so just leave it off?
Size plot_reticle_size = GetTextSize("00000000", GetReticleFont());
Size plot_unit_size = GetTextSize("[dummy]", GetLabelsFont());
SetPlotAreaLeftMargin(plot_reticle_size.cx + plot_unit_size.cy + 20);
SetPlotAreaBottomMargin(plot_reticle_size.cy*2 + plot_unit_size.cy + 20);
SetGridDash("");
Color grey(180, 180, 180);
SetGridColor(grey);
RemoveMouseBehavior(ScatterCtrl::ZOOM_WINDOW);
RemoveMouseBehavior(ScatterCtrl::SHOW_INFO);
AddMouseBehavior(true, false, false, true, false, 0, false, ScatterCtrl::SHOW_INFO);
AddMouseBehavior(false, false, false, true, false, 0, false, ScatterCtrl::SCROLL);
AddMouseBehavior(false, false, false, false, true, 0, false, ScatterCtrl::SCROLL);
SetRainbowPalettePos({50, 10});
}
void MyPlot::clean(bool full_clean) {
//TODO
RemoveAllSeries();
RemoveSurf();
colors.reset();
x_data.clear();
data_stacked.clear();
profile.clear();
profile2D.clear();
profile2Dt.clear();
profile2D_is_timed = false;
histogram.Clear();
series_data.Clear();
SetTitle("");
SetLabelX(" ");
SetLabelY(" ");
labels.Clear();
labels2.Clear();
if(full_clean)
was_auto_resized = false;
}
void MyPlot::compute_x_data(Date_Time start, s64 steps, Time_Step_Size ts_size) {
x_data.resize(steps);
Expanded_Date_Time dt(start, ts_size);
for(s64 step = 0; step < steps; ++step) {
x_data[step] = (double)(dt.date_time.seconds_since_epoch - start.seconds_since_epoch);
dt.advance();
}
}
void format_plot(MyPlot *draw, Var_Id::Type type, DataSource *data, Color &color, String &legend, String &unit) {
draw->Legend(legend).Units(unit);
bool scatter = false;
if(type != Var_Id::Type::state_var && draw->setup.scatter_inputs) {
bool prev_prev_valid = false;
bool prev_valid = false;
// See if there are any isolated points.
for(int64 id = 0; id < data->GetCount(); ++id) {
double y = data->y(id);
bool valid = std::isfinite(y);
bool edge = id==0 || id==data->GetCount()-1;
if(!valid && prev_valid && (edge || !prev_prev_valid)) {
scatter = true;
break;
}
prev_prev_valid = prev_valid;
prev_valid = valid;
}
}
if(!scatter)
draw->NoMark().Stroke(1.5, color).Dash("");
else {
draw->MarkBorderColor(color).Stroke(0.0, color).Opacity(0.5).MarkStyle<CircleMarkPlot>();
int index = draw->GetCount()-1;
draw->SetMarkColor(index, Null); //NOTE: Calling draw->MarkColor(Null) does not make it transparent, so we have to do it like this.
}
}
bool add_single_plot(MyPlot *draw, Model_Data *md, Model_Application *app, Var_Id var_id, Indexes &indexes,
s64 ts, Date_Time ref_x_start, Date_Time start, double *x_data, s64 gof_offset, s64 gof_ts, Color &color, bool stacked,
const String &legend_prefix, bool always_copy_y) {
if(!app->index_data.are_in_bounds(indexes)) return true;
if(draw->GetCount() == 100) {
draw->SetTitle("Warning: only displaying the 100 first selected series");
return false;
}
auto *data = &md->get_storage(var_id.type);
auto var = app->vars[var_id];
s64 offset = data->structure->get_offset(var_id, indexes);
String unit_str;
if(draw->setup.y_axis_mode == Y_Axis_Mode::normalized)
unit_str = "(normalized)";
else {
auto unit = var->unit;
if(draw->setup.aggregation_type == Aggregation_Type::sum)
unit = unit_of_sum(var->unit, app->time_step_unit, draw->setup.aggregation_period);
unit_str = unit.to_utf8();
}
String legend = String(var->name) + " " + make_index_string(data->structure, indexes, var_id) + "[" + unit_str + "]";
if(!IsNull(legend_prefix))
legend = legend_prefix + legend;
// Don't plot a nonexisting series. TODO: This didn't work as intended Have to start scan at
// between ref start and start?
// Also can be annoying for the user if they click a series and nothing happens. Better if
// it was just blank, but that is bugged.
/*bool found = false;
for(s64 t = 0; t < ts; ++t) {
if(std::isfinite(*data->get_value(offset, t))) {
found = true;
break;
}
}
if(!found) return true;
*/
draw->series_data.Create<Agg_Data_Source>(data, offset, ts, x_data, ref_x_start, start, app->time_step_size, &draw->setup, always_copy_y);
if(stacked) {
draw->data_stacked.Add(draw->series_data.Top());
draw->AddSeries(draw->data_stacked.top()).Fill(color);
} else
draw->AddSeries(draw->series_data.Top());
format_plot(draw, var_id.type, &draw->series_data.Top(), color, legend, unit_str);
if(draw->plot_info) {
Time_Series_Stats stats;
compute_time_series_stats(&stats, &draw->parent->stat_settings.settings, data, offset, gof_offset, gof_ts);
display_statistics(draw->plot_info, &draw->parent->stat_settings.display_settings, &stats, color, legend);
}
return true;
}
std::vector<Index_T> *
get_selected_indexes(Mobius_Model *model, Plot_Setup *setup, Entity_Id index_set_id) {
if(setup->index_set_is_active[index_set_id.id])
return &setup->selected_indexes[index_set_id.id];
auto index_set = model->index_sets[index_set_id];
for(auto other_id : index_set->union_of) {
if(setup->index_set_is_active[other_id.id])
return &setup->selected_indexes[other_id.id];
}
return nullptr;
}
void
get_single_indexes(Model_Application *app, Indexes &indexes, Plot_Setup &setup) {
if(indexes.lookup_ordered)
fatal_error(Mobius_Error::internal, "Can't use get_single_indexes with lookup ordered indexes");
//indexes.clear(); // Probably unnecessary since we only use it for newly constructed ones
for(auto id : app->model->index_sets) {
auto selected = get_selected_indexes(app->model, &setup, id);
if(selected && !selected->empty()) {
auto index = (*selected)[0];
if(id != index.index_set)
index = app->index_data.raise(index, id);
indexes.set_index(index);
}
}
}
bool add_plot_recursive(MyPlot *draw, Model_Application *app, Var_Id var_id, Indexes &indexes, int level,
Date_Time ref_x_start, Date_Time start, s64 time_steps, double *x_data, const std::vector<Entity_Id> &index_sets, s64 gof_offset, s64 gof_ts, Plot_Mode mode, int found_count = 0) {
if(level == indexes.indexes.size() || found_count == index_sets.size()) {
bool stacked = var_id.type == Var_Id::Type::state_var && (mode == Plot_Mode::stacked || mode == Plot_Mode::stacked_share);
Color &graph_color = draw->colors.next();
bool success = add_single_plot(draw, &app->data, app, var_id, indexes, time_steps,
ref_x_start, start, x_data, gof_offset, gof_ts, graph_color, stacked);
return success;
} else {
auto index_set_id = Entity_Id {Reg_Type::index_set, (s16)level };
auto selected = get_selected_indexes(app->model, &draw->setup, index_set_id);
bool loop = false;
if(selected && !selected->empty())
loop = std::find(index_sets.begin(), index_sets.end(), index_set_id) != index_sets.end();
if(!loop) {
indexes.indexes[level] = invalid_index;
return add_plot_recursive(draw, app, var_id, indexes, level+1, ref_x_start, start, time_steps, x_data, index_sets, gof_offset, gof_ts, mode, found_count);
} else {
for(Index_T index : *selected) {
//log_print("Index set is ", app->model->index_sets[index.index_set]->name, "\n");
if(index.index_set != index_set_id)
index = app->index_data.raise(index, index_set_id); // Have to make it relative to the union.
indexes.set_index(index, true);
//log_print("Setting index for ", app->vars[var_id]->name, " ", app->model->index_sets[index.index_set]->name, " ", index.index, "\n");
bool success = add_plot_recursive(draw, app, var_id, indexes, level+1, ref_x_start, start, time_steps, x_data, index_sets, gof_offset, gof_ts, mode, found_count+1);
if(!success) return false;
}
}
}
return true;
}
void
set_round_grid_line_positions(ScatterDraw *plot, int axis) {
//TODO: This should take Y axis mode into account (if axis is 1)
double min;
double range;
if(axis == 0) {
min = plot->GetXMin();
range = plot->GetXRange();
} else {
min = plot->GetYMin();
range = plot->GetYRange();
}
double log_range = std::log10(range);
double int_part;
double frac_part = std::modf(log_range, &int_part);
if(range < 1.0) int_part -= 1.0;
double order_of_mag = std::pow(10.0, int_part);
double stretch = range / order_of_mag;
constexpr int ref_ticks = 10; //TODO: Should depend on plot size.
//TODO: Document this implementation better?
static double stride_factors[8] = {0.1, 0.2, 0.25, 0.5, 1.0, 2.0, 2.5, 5.0};
double stride = order_of_mag * stride_factors[0];
for(int idx = 1; idx < 8; ++idx) {
double n_ticks = std::floor(range / stride);
if((int)n_ticks <= ref_ticks) break;
stride = order_of_mag * stride_factors[idx];
}
double min2 = std::floor(min / stride)*stride;
range += min-min2;
//MainPlot.SetMinUnits(Null, Min); //We would prefer to do this, but for some reason it works
//poorly when there are negative values...
if(axis == 0) {
plot->SetXYMin(min2, Null);
plot->SetRange(range, Null);
plot->SetMajorUnits(stride, Null);
} else {
plot->SetXYMin(Null, min2);
plot->SetRange(Null, range);
plot->SetMajorUnits(Null, stride);
}
}
int round_step_10(int step) {
//TODO: hmm, could this be unified with what is done in the above function somehow?
int log_10 = (int)std::log10((double)step);
int order_of_mag = (int)std::pow(10.0, log_10);
int stretch = step / order_of_mag;
if(stretch == 1) return order_of_mag;
if(stretch == 2) return order_of_mag*2;
if(stretch <= 5) return order_of_mag*5;
return order_of_mag*10;
}
int round_step_60(int step) {
//TODO: lookup table?
if(step == 3) step = 2;
else if(step == 4) step = 5;
else if(step == 6 || step == 7) step = 5;
else if(step >= 8 && step <= 12) step = 10;
else if(step >= 13 && step <= 17) step = 15;
else if(step >= 18 && step <= 26) step = 20;
else if(step >= 27 && step <= 40) step = 30;
return step;
}
int round_step_24(int step) {
//TODO: lookup table?
if(step == 3) step = 2;
if(step == 5) step = 4;
if(step == 7 || step == 8) step = 6;
if(step >= 9 && step <= 14) step = 12;
return step;
}
int round_step_31(int step) {
// TODO: lookup table?
if(step == 3) step = 2;
else if(step == 4) step = 5;
else if(step == 6 || step == 7) step = 5;
else if(step == 8 || step == 9) step = 10;
else if(step > 2 && step < 20) step = 15;
return step;
}
void set_date_grid_line_positions_x(double x_min, double x_range, Vector<double> &pos, Date_Time input_start, int res_type) {
constexpr int n_grid_lines = 10; //TODO: Make it sensitive to plot size
s64 sec_range = (s64)x_range;
s64 first = input_start.seconds_since_epoch + (s64)x_min;
s64 last = first + sec_range;
//NOTE: res_type denotes the unit that we try to use for spacing the grid lines. 0=seconds, 1=minutes, 2=hours, 3=days,
//4=months, 5=years
s64 step;
s64 iter_time = first;
if(res_type == 0) {
step = sec_range / n_grid_lines + 1;
step = round_step_60(step);
if(step > 30) res_type = 1; //The plot is too wide to do secondly resolution, try minutely instead
else
iter_time -= (iter_time % step); //TODO: may not work if iter_time is negative. Likewise for the next two. Fix this. (make round_down_by function.)
}
if(res_type == 1) {
s64 min_range = sec_range / 60;
s64 min_step = min_range / n_grid_lines + 1;
min_step = round_step_60(min_step);
if(min_step > 30) res_type = 2; //The plot is too wide to do minutely resolution, try hourly instead
else {
iter_time -= (iter_time % 60);
iter_time -= 60*((iter_time/60) % min_step);
step = 60*min_step;
}
}
if(res_type == 2) {
s64 hr_range = sec_range / 3600;
s64 hr_step = hr_range / n_grid_lines + 1;
hr_step = round_step_24(hr_step);
if(hr_step > 12) res_type = 3; //The plot is too wide to do hourly resolution, try daily instead
else {
iter_time -= (iter_time % 3600);
iter_time -= 3600*((iter_time / 3600) % hr_step);
step = 3600*hr_step;
}
}
if(res_type <= 2) {
if(step <= 0) //NOTE: should not happen. Just so that it doesn't crash if there is a bug.
return;
for(; iter_time <= last; iter_time += step) {
double x = (double)((iter_time - input_start.seconds_since_epoch)) - x_min;
if(x > 0.0 && x < x_range)
pos << x;
}
return;
}
// TODO: The date algorithms used here are very slow when the year is large. Either improve
// datetime.h or do some approximation here in that case.
Date_Time first_d;
first_d.seconds_since_epoch = first;
Date_Time last_d;
last_d.seconds_since_epoch = last;
s32 fy, fm, fd, ly, lm, ld;
first_d.year_month_day(&fy, &fm, &fd);
last_d.year_month_day(&ly, &lm, &ld);
if(res_type == 3) {
s64 day_range = sec_range / 86400; // +1 ??
s64 day_step = day_range / n_grid_lines + 1;
day_step = round_step_31(day_step);
if(day_step >= 20) res_type = 4; //The plot is too wide to do daily resolution, try monthly instead;
else {
s32 d = fd;
d -= (d - 1) % day_step;
s32 m = fm;
s32 y = fy;
// TODO: use Expanded_Date_Time here instead?
while(true) {
if(y > ly ||
(y == ly && (m > lm ||
(m == lm && d > ld)))) break;
s32 dom = month_length(y, m);
if(d > dom || (day_step != 1 && (dom - d < day_step/2))) { //TODO: I forgot why rightmost part of the condition is here. Figure it out and explain it in comment.
d = 1; m++;
if(m > 12) { m = 1; y++; }
}
Date_Time iter_date(y, m, d);
double x = (double)((iter_date.seconds_since_epoch - input_start.seconds_since_epoch)) - x_min;
if(x > 0.0 && x < x_range)
pos << x;
d += day_step;
}
return;
}
}
s64 mon_step;
if(res_type == 4) {
int mon_range = lm - fm + 12*(ly - fy);
mon_step = mon_range / n_grid_lines + 1;
if(mon_step >= 10) res_type = 5; //The plot is too wide to do monthly resolution, try yearly instead
else {
if(mon_step == 4) mon_step = 3;
else if(mon_step == 5 || (mon_step > 6 && mon_step <= 9)) mon_step = 6;
int surp = (fm-1) % mon_step;
fm -= surp; //NOTE: This should not result in fm being negative.
}
}
int yr_step = 0;
if(res_type == 5) {
int yr_range = ly - fy;
yr_step = yr_range / n_grid_lines + 1;
yr_step = round_step_10(yr_step);
fy -= (fy % yr_step);
fm = 1;
mon_step = 12*yr_step;
}
if(mon_step <= 0) return; //NOTE: should not happen. Just so that it doesn't crash if there is a bug.
if(yr_step > 1000) return; //TODO: Can remove this if we speed up the datetime algorithms.
Expanded_Date_Time iter_date(Date_Time(fy, fm, 1), Time_Step_Size { Time_Step_Size::month, (s32)mon_step} );
while(true) {
if(iter_date.year > ly || (iter_date.year == ly && iter_date.month > lm)) break;
double x = (double)((iter_date.date_time.seconds_since_epoch - input_start.seconds_since_epoch)) - x_min;
if(x > 0.0 && x < x_range)
pos << x;
iter_date.advance();
}
}
int
compute_smallest_step_resolution(Aggregation_Period interval_type, Time_Step_Size ts_size) {
//NOTE: To compute the unit that we try to use for spacing the grid lines.
// 0=seconds, 1=minutes, 2=hours,
// 3=days, 4=months, 5=years
if(interval_type == Aggregation_Period::none) {
//NOTE: The plot does not display aggregated data, so the unit of the grid line step should be
//determined by the model step size.
if(ts_size.unit == Time_Step_Size::second) {
if(ts_size.multiplier < 60) return 0;
else if(ts_size.multiplier < 3600) return 1;
else if(ts_size.multiplier < 86400) return 2;
else return 3;
} else {
if(ts_size.multiplier < 12) return 4;
else return 5;
}
}
else if(interval_type == Aggregation_Period::weekly) return 3;
else if(interval_type == Aggregation_Period::monthly) return 4;
else if(interval_type == Aggregation_Period::yearly) return 5;
return 0;
}
inline void
grid_time_stamp_format(int res_type, Date_Time ref_date, double seconds_since_ref, String &str) {
//static const char *month_names[12] = {"January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"};
// Testing shorter month names since they some times overlap
static const char *month_names[12] = {"Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"};
//NOTE: Adding 0.5 helps a bit with avoiding flickering when panning, but is not perfect (TODO)
Date_Time d2 = ref_date;
if(seconds_since_ref >= 0.0)
d2.seconds_since_epoch += (s64)(seconds_since_ref + 0.5);
else
d2.seconds_since_epoch += (s64)(seconds_since_ref); // For negatives it will skip a second if we add the 0.5
s32 h, m, s;
if(res_type <= 2) {
d2.hour_minute_second(&h, &m, &s);
if(res_type == 0)
str = Format("%02d:%02d:%02d", h, m, s);
else
str = Format("%02d:%02d", h, m);
}
if(res_type >= 3 || (h==0 && m==0 && s==0)) {
s32 y, mn, d;
d2.year_month_day(&y, &mn, &d); // TODO: Slow when the year is large.
if(res_type <= 3) {
if(res_type <= 2)
str << "\n";
str << Format("%d. ", d);
}
if(d == 1 || res_type >= 4) {
if(res_type <= 4)
str << month_names[mn-1];
if(mn == 1 || res_type >= 5) {
if(res_type <= 4)
str << "\n";
str << Format("%d", y);
}
}
}
}
inline void
time_stamp_format(int res_type, Date_Time ref_date, double seconds_since_ref, String &str) {
Date_Time d2 = ref_date;
d2.seconds_since_epoch += (s64)(seconds_since_ref + 0.5);
s32 y, mn, d, h, m, s;
d2.year_month_day(&y, &mn, &d);
if(res_type <= 2) {
d2.hour_minute_second(&h, &m, &s);
str = Format("%02d-%02d-%02d %02d:%02d:%02d", y, mn, d, h, m, s);
} else
str = Format("%02d-%02d-%02d", y, mn, d);
}
void
format_axes(MyPlot *plot, Plot_Mode mode, int n_bins_histogram, Date_Time input_start, Time_Step_Size ts_size) {
plot->SetGridLinesX.Clear();
plot->cbModifFormatXGridUnits.Clear();
plot->cbModifFormatX.Clear();
plot->cbModifFormatY.Clear();
plot->cbModifFormatYGridUnits.Clear();
plot->SetMinUnits(0, 0);
if(plot->setup.y_axis_mode == Y_Axis_Mode::logarithmic && mode != Plot_Mode::profile2D)
plot->SetLogY(true);
else
plot->SetLogY(false);
if(plot->GetCount() > 0
|| (mode == Plot_Mode::profile2D &&
((!plot->profile2D_is_timed && plot->profile2D.count() > 0) ||
(plot->profile2D_is_timed && plot->profile2Dt.count() > 0))
)) {
if(mode == Plot_Mode::histogram || mode == Plot_Mode::residuals_histogram) {
//NOTE: Histograms require special zooming.
plot->ZoomToFitNonLinked(true, true, 0, 0);
plot->was_auto_resized = false;
double x_range = plot->GetXRange();
double x_min = plot->GetXMin();
//NOTE: The auto-resize cuts out half of each outer bar, so we fix that
double stride = x_range / (double)(n_bins_histogram-1);
x_min -= 0.5*stride;
x_range += stride;
plot->SetXYMin(x_min);
plot->SetRange(x_range);
// Position grid lines at the actual bars.
int line_skip = n_bins_histogram / 30 + 1;
plot->SetGridLinesX << [n_bins_histogram, stride, line_skip](Vector<double> &pos) {
for(int idx = 0; idx < n_bins_histogram; idx+=line_skip)
pos << stride * (double)idx;
};
// Skip some of the numeric labels since they tend to overlap otherwise.
plot->cbModifFormatXGridUnits << [](String &s, int i, double d) {
if(i % 2 == 1)
s = FormatDouble(d, 3);
else
s = "";
};
} else if(mode == Plot_Mode::qq) {
//NOTE: qq plots require special zooming.
plot->ZoomToFitNonLinked(true, true, 0, 0);
plot->was_auto_resized = false;
double y_range = plot->GetYRange();
double y_min = plot->GetYMin();
double x_range = plot->GetXRange();
double x_min = plot->GetXMin();
//NOTE: Make it so that the extremal points are not on the border
double ext_y = y_range * 0.1;
y_range += 2.0 * ext_y;
y_min -= ext_y;
double ext_x = x_range * 0.1;
x_range += 2.0 * ext_x;
x_min -= ext_x;
plot->SetRange(x_range, y_range);
plot->SetXYMin(x_min, y_min);
} else if(mode == Plot_Mode::profile) {
plot->was_auto_resized = false;
double ymin = std::min(0.0, plot->profile.get_min());
double ymax = plot->profile.get_max();
int count = plot->profile.GetCount();
plot->SetRange(Null, ymax - ymin);
// For some reason, the behaviour of this is different depending on whether or not
// you set the units before or after the min and range.....
bool has_x_values = plot->profile.has_x_values();
if(!has_x_values) {
plot->SetXYMin(-0.5, ymin);
plot->SetRange((double)count, Null);
plot->cbModifFormatX << [count, plot](String &s, int i, double d) {
int idx = (int)std::floor(d);
if(idx >= -1 && idx <= count-1 && (idx+1 < plot->labels.size()))
s = plot->labels[idx+1];
else s = "";
};
}
int preferred_max_grid = 15; //TODO: Dynamic size-based ?
int units = std::max(1, count / preferred_max_grid);
plot->SetMajorUnits((double)units);
plot->SetMinUnits(0.0);
if(has_x_values) {
plot->SetXYMin(0, ymin);
double x_max = plot->profile.x(count-1);
plot->SetRange(x_max+0.5, Null);
}
} else if (mode == Plot_Mode::profile2D && plot->profile2D_is_timed) {
plot->ZoomToFitNonLinked(true, true, 0, 0);
plot->was_auto_resized = false;
plot->SetSurfMinZ(plot->profile2Dt.get_min());
plot->SetSurfMaxZ(plot->profile2Dt.get_max());
plot->SetXYMin(0.0, 0.0);
int count_x = plot->profile2Dt.get_dim_x();
int count_y = plot->profile2Dt.get_dim_y();
plot->SetRange((double)count_x, (double)count_y);
int preferred_max_grid = 15; //TODO: Dynamic size-based ?
int units_x = std::max(1, count_x / preferred_max_grid);
int units_y = std::max(1, count_y / preferred_max_grid);
plot->SetMinUnits(0.5, 0.5);
plot->SetMajorUnits((double)units_x, (double)units_y);
plot->cbModifFormatX << [count_x, plot](String &s, int i, double d) {
int idx = (int)d;
if(d >= 0 && d < count_x && (idx < plot->labels2.size())) s = plot->labels2[idx];
};
plot->cbModifFormatY << [count_y, plot](String &s, int i, double d) {
int idx = (int)d;
if(d >= 0 && d < count_y && (idx < plot->labels.size())) s = plot->labels[idx];
};
} else if (!plot->profile2D_is_timed) {
plot->ZoomToFitNonLinked(false, true, 0, 0);
int res_type = compute_smallest_step_resolution(plot->setup.aggregation_period, ts_size);
if(mode == Plot_Mode::profile2D) {
//plot->ZoomToFitZ();
TableData *data = plot->profile2D_is_timed ? static_cast<TableData *>(&plot->profile2Dt) : static_cast<TableData *>(&plot->profile2D);
double minz = data->MinZ();
double maxz = data->MaxZ();
if(maxz < 0.0)
maxz = 0.0;
else if (minz > 0.0)
minz = 0.0;
else { // maxz > 0.0 && minz < 0.0*/
double absmax = std::max(std::abs(maxz), std::abs(minz));
maxz = absmax;
minz = std::max(-0.5*absmax, minz);
}
plot->SetSurfMinZ(minz);
plot->SetSurfMaxZ(maxz);
bool has_y_values = plot->profile2D.has_y_values();
if(has_y_values) {
// This is very hacky, but it is because we have to put the data at
// negative y values to be able to put them from top to bottom without messing up the
// plotting algorithms.
plot->cbModifFormatY <<
[](String &s, int i, double d) {
s = FormatDouble(-d);
};
} else {
int count = plot->profile2D.count();
int preferred_max_grid = 15; //TODO: Dynamic size-based ?
int units = std::max(1, count / preferred_max_grid);
plot->SetMinUnits(Null, 0.5);
plot->SetMajorUnits(Null, units);
plot->cbModifFormatY <<
[plot](String &s, int i, double d) {
int idx = (int)d;
if(d >= 0 && d < plot->labels.size()) s = plot->labels[idx]; // NOTE: We display them from top to bottom
};
}
} else {
// Set the minimum of the y range to be 0 unless the minimum is already below 0
double y_range = plot->GetYRange();
double y_min = plot->GetYMin();
if(y_min > 0.0) {
double new_range = y_range + y_min;
plot->SetRange(Null, new_range);
plot->SetXYMin(Null, 0.0);
}
}
if(!plot->was_auto_resized) {
bool empty = true;
for(auto &data : plot->series_data) {
if(!data.is_empty()) {
empty = false;
break;
}
}
if(!empty) {
plot->ZoomToFitNonLinked(true, false, 0, 0);
plot->was_auto_resized = true;
}
}
// TODO: This is still bug prone (flickering)!
// Position of x grid lines
plot->SetGridLinesX << [plot, input_start, res_type](Vector<double> &vec){
double x_min = plot->GetXMin();
double x_range = plot->GetXRange();
set_date_grid_line_positions_x(x_min, x_range, vec, input_start, res_type);
};
// Format to be displayed for x values at grid lines and data view
plot->cbModifFormatXGridUnits << [res_type, input_start] (String &str, int i, double r) {
grid_time_stamp_format(res_type, input_start, r, str);
};
// Format to be displayed in data table
plot->cbModifFormatX << [res_type, input_start] (String &str, int i, double r) {
time_stamp_format(res_type, input_start, r, str);
};
}
// Extend the Y range a bit more to avoid the legend obscuring the plot in the most
// common cases (and to have a nice margin).
if(plot->GetShowLegend() && mode != Plot_Mode::profile && mode != Plot_Mode::profile2D)
plot->SetRange(Null, plot->GetYRange() * 1.15);
if(mode != Plot_Mode::profile2D) {
if(plot->setup.y_axis_mode != Y_Axis_Mode::logarithmic) {
plot->cbModifFormatYGridUnits << [](String &s, int i, double d) {
s = FormatDouble(d, 4);
};
}
set_round_grid_line_positions(plot, 1);
}
if(mode == Plot_Mode::qq)
set_round_grid_line_positions(plot, 0);
}
bool allow_scroll_x = !(mode == Plot_Mode::profile || mode == Plot_Mode::histogram
|| mode == Plot_Mode::residuals_histogram);
bool allow_scroll_y = (mode == Plot_Mode::qq) || (mode == Plot_Mode::profile2D && plot->profile2D_is_timed);
plot->SetMouseHandling(allow_scroll_x, allow_scroll_y);
}
void add_line(MyPlot *plot, double x0, double y0, double x1, double y1, Color color, const String &legend) {
plot->series_data.Create<Data_Source_Line>(x0, y0, x1, y1);
if(IsNull(color)) color = plot->colors.next();
plot->AddSeries(plot->series_data.Top()).NoMark().Stroke(1.5, color).Dash("6 3");
if(!IsNull(legend)) plot->Legend(legend);
else plot->ShowSeriesLegend(false);
}
void add_trend_line(MyPlot *plot, double xy_covar, double x_var, double y_mean, double x_mean, double start_x, double end_x, String &legend) {
double beta = xy_covar / x_var;
double alpha = y_mean - beta*x_mean;
add_line(plot, start_x, alpha + start_x*beta, end_x, alpha + end_x*beta, Null, legend);
}
int add_histogram(MyPlot *plot, DataSource *data, double min, double max, s64 count, const String &legend, const String &unit, const Color &color) {
//n_bins_histogram = 1 + (int)std::ceil(std::log2((double)count)); //NOTE: Sturges' rule.
int n_bins_histogram = 2*(int)(std::ceil(std::cbrt((double)count))); //NOTE: Rice's rule.
plot->histogram.Create(*data, min, max, n_bins_histogram);
plot->histogram.Normalize();
double stride = (max - min)/(double)n_bins_histogram;
double darken = 0.4;
Color border((int)(((double)color.GetR())*darken), (int)(((double)color.GetG())*darken), (int)(((double)color.GetB())*darken));
plot->AddSeries(plot->histogram).Legend(legend).PlotStyle<BarSeriesPlot>().BarWidth(0.5*stride).NoMark().Fill(color).Stroke(1.0, border).Units("", unit);
return n_bins_histogram;
}
void get_gof_offsets(Time &start_setting, Time &end_setting, Date_Time input_start, s64 input_ts, Date_Time result_start, s64 result_ts, Date_Time &gof_start, Date_Time &gof_end,
s64 &input_gof_offset, s64 &result_gof_offset, s64 &gof_ts, Time_Step_Size ts_size, bool has_results) {
Date_Time gof_min = result_start;
s64 max_ts = result_ts;
if(!has_results) {
gof_min = input_start;
max_ts = input_ts;
}
Date_Time gof_max = advance(gof_min, ts_size, max_ts-1);
gof_start = IsNull(start_setting) ? gof_min : convert_time(start_setting);
gof_end = IsNull(end_setting) ? gof_max : convert_time(end_setting);
if(gof_start < gof_min || gof_start > gof_max)
gof_start = gof_min;
if(gof_end < gof_min || gof_end > gof_max || gof_end < gof_start)
gof_end = gof_max;
gof_ts = steps_between(gof_start, gof_end, ts_size) + 1; //NOTE: if start time = end time, there is still one timestep.
result_gof_offset = steps_between(result_start, gof_start, ts_size); //NOTE: this could be negative, but only in the case when has_results=false
input_gof_offset = steps_between(input_start, gof_start, ts_size);
}
void MyPlot::build_plot(bool caused_by_run, Plot_Mode override_mode) {
clean(false);
if(!parent->model_is_loaded()) {
SetTitle("No model is loaded.");
return;
}
int series_count = setup.selected_results.size() + setup.selected_series.size();
if(series_count == 0) {
SetTitle("No time series is selected for plotting.");
return;
}
auto app = parent->app;
Date_Time result_start = app->data.results.start_date;
Date_Time input_start = app->data.series.start_date; // NOTE: Should be same for both type of series (model inputs & additional series)
s64 input_ts = app->data.series.time_steps;
s64 result_ts = app->data.results.time_steps;
if(input_ts == 0) { //NOTE: could happen if there are no input series at all
input_ts = result_ts;
input_start = result_start;
}
s64 result_offset = steps_between(input_start, result_start, app->time_step_size);
if(!setup.selected_results.empty() && result_ts == 0) {
SetTitle("Unable to generate a plot of any result series since the model has not been run.");
return;
}
// NOTE: this should theoretically never happen
if(setup.selected_indexes.empty() && app->model->index_sets.count() > 0) {
SetTitle("No indexes were selected");
return;
}
bool multi_index = false;
for(auto id : app->model->index_sets) {
if(!setup.index_set_is_active[id.id]) continue;
if(setup.selected_indexes[id.id].empty()) {
//parent->log(Format("The index set %s has %d selected indexes.", parent->model->index_sets[id]->name.data(), (int)setup.selected_indexes[id.id].size()));
SetTitle("At least one index has to be selected for each of the active index sets.");
return;
}
if(setup.selected_indexes[id.id].size() > 1)
multi_index = true;
}
bool show_l = true;
if(plot_ctrl) {
show_l = plot_ctrl->show_legend.GetData();
}
ShowLegend(show_l);
plot_info->Clear();
Plot_Mode mode = setup.mode;
if(override_mode != Plot_Mode::none) mode = override_mode;
Date_Time gof_start;
Date_Time gof_end;
s64 input_gof_offset;
s64 result_gof_offset;
s64 gof_ts;
Time gof_start_setting = parent->calib_start.GetData();
Time gof_end_setting = parent->calib_end.GetData();
get_gof_offsets(gof_start_setting, gof_end_setting, input_start, input_ts, result_start, result_ts, gof_start, gof_end,
input_gof_offset, result_gof_offset, gof_ts, app->time_step_size, !setup.selected_results.empty());
bool gof_available = false;
bool want_gof = (bool)parent->gof_option.GetData() || mode == Plot_Mode::residuals || mode == Plot_Mode::residuals_histogram || mode == Plot_Mode::qq;
s64 offset_sim;
s64 offset_obs;
char buf1[64];
char buf2[64];
gof_start.to_string(buf1);
gof_end .to_string(buf2);
plot_info->append(Format("Showing statistics for interval %s to %s&&", buf1, buf2));
#if CATCH_ERRORS
try {
#endif
Residual_Stats residual_stats;
if(want_gof && setup.selected_results.size() == 1 && setup.selected_series.size() == 1 && !multi_index) {
gof_available = true;
bool compute_rcc = parent->stat_settings.display_settings.display_srcc;
Var_Id id_sim = setup.selected_results[0];
Var_Id id_obs = setup.selected_series[0];
Data_Storage<double, Var_Id> *data_sim = &app->data.results;
Data_Storage<double, Var_Id> *data_obs = id_obs.type == Var_Id::Type::series ? &app->data.series : &app->data.additional_series;
Indexes indexes(parent->model);
get_single_indexes(parent->app, indexes, setup);
offset_sim = data_sim->structure->get_offset(id_sim, indexes);
offset_obs = data_obs->structure->get_offset(id_obs, indexes);
compute_residual_stats(&residual_stats, data_sim, offset_sim, result_gof_offset, data_obs, offset_obs, input_gof_offset, gof_ts, compute_rcc);
}
compute_x_data(input_start, input_ts+1, app->time_step_size);
int n_bins_histogram = 0;
if(mode == Plot_Mode::regular || mode == Plot_Mode::stacked || mode == Plot_Mode::stacked_share) {
if(mode != Plot_Mode::regular) {
bool is_share = (mode == Plot_Mode::stacked_share);
data_stacked.set_share(is_share);
}
Indexes indexes(parent->model);
for(auto var_id : setup.selected_results) {
const std::vector<Entity_Id> &index_sets = app->result_structure.get_index_sets(var_id);
add_plot_recursive(this, app, var_id, indexes, 0, input_start, result_start, result_ts, x_data.data(), index_sets, result_gof_offset, gof_ts, mode);
}
for(auto var_id : setup.selected_series) {
const std::vector<Entity_Id> &index_sets = var_id.type == Var_Id::Type::series ? app->series_structure.get_index_sets(var_id) : app->additional_series_structure.get_index_sets(var_id);
add_plot_recursive(this, app, var_id, indexes, 0, input_start, input_start, input_ts, x_data.data(), index_sets, input_gof_offset, gof_ts, mode);
}
} else if (mode == Plot_Mode::histogram) {
if(series_count > 1 || multi_index) {
SetTitle("In histogram mode you can only have one timeseries selected, for one index combination");
return;
}
Indexes indexes(parent->model);
get_single_indexes(parent->app, indexes, setup);
s64 gof_offset;
Var_Id var_id;
// TODO: We should make it very clear that the histogram uses the GOF interval only
// for its data!
if(!setup.selected_results.empty()) {
var_id = setup.selected_results[0];
gof_offset = result_gof_offset;
} else {
var_id = setup.selected_series[0];
gof_offset = input_gof_offset;
}
auto *data = &app->data.get_storage(var_id.type);
auto var = app->vars[var_id];
//TODO: with the new data system, it would be easy to allow aggregation also.
s64 offset = data->structure->get_offset(var_id, indexes);