subsurface/stats/CMakeLists.txt

# the stats-graph widget
include_directories(.
	${CMAKE_CURRENT_BINARY_DIR}
	${CMAKE_BINARY_DIR}
)

set(SUBSURFACE_STATS_SRCS
	legend.h
	legend.cpp
	statscolors.h
	statscolors.cpp
	statsvariables.h
	statsvariables.cpp
	zvalues.h
)

source_group("Subsurface statistics sourcecode" FILES ${SUBSURFACE_STATS_SRCS})

add_library(subsurface_stats STATIC ${SUBSURFACE_STATS_SRCS})
target_link_libraries(subsurface_stats ${QT_LIBRARIES})
statistics: add statistic variables The StatisticVariable class hierarchy encapsulates the concept of a dive-variable, which can be plotted in charts either as dependend or independend variable. There are three types of these variables: 1) discrete: For example dive buddies or suit type. 2) continuous: Has a notion of linear metric - can be used as histogram or scatter plot axis. 3) numeric: Like continuous, but allows for operations such as calculating the mean or the sum over numerous dives. All variables support binning. The bins are defined per variable. Continuous variables can be converted into an arbitrary double value, which is used to be plotted on a continuous axis. Moreover, numeric variables support a number of operations, which depend on the variable. Since binning is based on different types, the code is rather template-heavy. Of course, this could be solved with unions/variants and runtime-polymorphism, but using templates was just much quicker. Notably, this uses the CRTP (curiously recurring template pattern) where a subclass passes itself as argument to the baseclass. This is a weird kind of "reverse inheritance". The StatsTranslations class is a dummy class which will be used to collect all translations of the statistics module. This includes changes by Dirk to fix compilation of the downloader. Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at> Signed-off-by: Dirk Hohndel <dirk@hohndel.org> 2021-01-01 00:37:56 +00:00			`# the stats-graph widget`
			`include_directories(.`
			`${CMAKE_CURRENT_BINARY_DIR}`
			`${CMAKE_BINARY_DIR}`
			`)`

			`set(SUBSURFACE_STATS_SRCS`
statistics: implement a legend box For some chart (e.g. pie charts or stacked bar charts), we want to display a legend. QtCharts' legend interface happens to be private and therefore is of no use. This introduces a legend box which is implemented using QGraphicItems, which can be placed on top of QCharts. It's very unfancy, but works for now. If there are too many items, not all are shown. Currently, the legend is configured to fill at most half of the width and half of the height of the chart. This might need some optimization. Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at> 2021-01-01 16:55:44 +00:00			`legend.h`
			`legend.cpp`
statistics: add color-related functions Add a source file and a header file, which implement the color scheme used by the statistics module. Besides a few color constants, the centerpiece is a function that returns the color representing a bin and an appropriate label color. It picks a roughly equi-distant set of colors out of an already balanced set of 50 candidate colors. And it also picks white as text color when adding a label to a segment with a dark color. The color list was created using a tool by Gregor Aisch that is available on GitHub as https://github.com/gka/palettes to create multi-hued, multi-stop color scales that are safe for color blind people. This commit contains code from three authors. Dirk (main author): adaptive color scheme. Willem: Colors of single-bin charts and lines. Berthold: Infrastructure. Signed-off-by: Dirk Hohndel <dirk@hohndel.org> Signed-off-by: willemferguson <willemferguson@zoology.up.ac.za> Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at> 2021-01-01 13:55:23 +00:00			`statscolors.h`
			`statscolors.cpp`
statistics: add statistic variables The StatisticVariable class hierarchy encapsulates the concept of a dive-variable, which can be plotted in charts either as dependend or independend variable. There are three types of these variables: 1) discrete: For example dive buddies or suit type. 2) continuous: Has a notion of linear metric - can be used as histogram or scatter plot axis. 3) numeric: Like continuous, but allows for operations such as calculating the mean or the sum over numerous dives. All variables support binning. The bins are defined per variable. Continuous variables can be converted into an arbitrary double value, which is used to be plotted on a continuous axis. Moreover, numeric variables support a number of operations, which depend on the variable. Since binning is based on different types, the code is rather template-heavy. Of course, this could be solved with unions/variants and runtime-polymorphism, but using templates was just much quicker. Notably, this uses the CRTP (curiously recurring template pattern) where a subclass passes itself as argument to the baseclass. This is a weird kind of "reverse inheritance". The StatsTranslations class is a dummy class which will be used to collect all translations of the statistics module. This includes changes by Dirk to fix compilation of the downloader. Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at> Signed-off-by: Dirk Hohndel <dirk@hohndel.org> 2021-01-01 00:37:56 +00:00			`statsvariables.h`
			`statsvariables.cpp`
statistics: add a header file defining z-values z-values determine the order in which objects on the chart are painted. To reduce chaos, collect all z-values in a header file. Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at> 2021-01-02 09:25:04 +00:00			`zvalues.h`
statistics: add statistic variables The StatisticVariable class hierarchy encapsulates the concept of a dive-variable, which can be plotted in charts either as dependend or independend variable. There are three types of these variables: 1) discrete: For example dive buddies or suit type. 2) continuous: Has a notion of linear metric - can be used as histogram or scatter plot axis. 3) numeric: Like continuous, but allows for operations such as calculating the mean or the sum over numerous dives. All variables support binning. The bins are defined per variable. Continuous variables can be converted into an arbitrary double value, which is used to be plotted on a continuous axis. Moreover, numeric variables support a number of operations, which depend on the variable. Since binning is based on different types, the code is rather template-heavy. Of course, this could be solved with unions/variants and runtime-polymorphism, but using templates was just much quicker. Notably, this uses the CRTP (curiously recurring template pattern) where a subclass passes itself as argument to the baseclass. This is a weird kind of "reverse inheritance". The StatsTranslations class is a dummy class which will be used to collect all translations of the statistics module. This includes changes by Dirk to fix compilation of the downloader. Signed-off-by: Berthold Stoeger <bstoeger@mail.tuwien.ac.at> Signed-off-by: Dirk Hohndel <dirk@hohndel.org> 2021-01-01 00:37:56 +00:00			`)`

			`source_group("Subsurface statistics sourcecode" FILES ${SUBSURFACE_STATS_SRCS})`

			`add_library(subsurface_stats STATIC ${SUBSURFACE_STATS_SRCS})`
			`target_link_libraries(subsurface_stats ${QT_LIBRARIES})`