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#197 Find a solution for singularities in plots

v1.1.x
closed
Erik Hänel
None
v1.1.0
New Functionality
2017-05-13
2017-05-01
Erik Hänel
No

If a plot contains one or more singularities then the corresponding axes and colorranges are strongly distorted. Find a solution that deals with this kind of issue, e.g. only considering the value range of the most occuring function values (between 70% and 90%).

Analysis:
To add this new functionality add a sorting algorithm (e.g. qsort() from cstdlib) to the PlotData object. A new function should be added, which may extract a predefined range of the sorted data specified by a passed percentage value. This value may be used in the plotting functions to calculate the "weighted" minimal and maximal value.

Implementation:
The new functionality was implemented as proposed by the analysis. Implementation tests were passed successfully.

Documentation:
The new functionality was documented in the article concerning plot in both languages.

Tests:
Tests were passed without deviation. Functionality works as expected. However, the results are still dependent on the actual number of samples used for calculating the plot.

Discussion

  • Erik Hänel

    Erik Hänel - 2017-05-01
    • status: open --> accepted
     

  • Erik Hänel

    Erik Hänel - 2017-05-01
    • Description has changed:

    Diff:

    --- old
+++ new
@@ -1 +1,9 @@
 If a plot contains one or more singularities then the corresponding axes and colorranges are strongly distorted. Find a solution that deals with this kind of issue, e.g. only considering the value range of the most occuring function values (between 70% and 90%).
+
+**Analysis:**
+
+**Implementation:**
+
+**Documentation:**
+
+**Tests:**
    • status: accepted --> analyzing
     

  • Erik Hänel

    Erik Hänel - 2017-05-03
    • Description has changed:

    Diff:

    --- old
+++ new
@@ -1,6 +1,7 @@
 If a plot contains one or more singularities then the corresponding axes and colorranges are strongly distorted. Find a solution that deals with this kind of issue, e.g. only considering the value range of the most occuring function values (between 70% and 90%).

 **Analysis:**
+To add this new functionality add a sorting algorithm (e.g. `qsort()` from `cstdlib`) to the `PlotData` object. A new function should be added, which may extract a predefined range of the sorted data specified by a passed percentage value. This value may be used in the plotting functions to calculate the "weighted" minimal and maximal value.

 **Implementation:**
    • status: analyzing --> implementing
     

  • Erik Hänel

    Erik Hänel - 2017-05-03
    • Description has changed:

    Diff:

    --- old
+++ new
@@ -4,7 +4,9 @@
 To add this new functionality add a sorting algorithm (e.g. `qsort()` from `cstdlib`) to the `PlotData` object. A new function should be added, which may extract a predefined range of the sorted data specified by a passed percentage value. This value may be used in the plotting functions to calculate the "weighted" minimal and maximal value.

 **Implementation:**
+The new functionality was implemented as proposed by the analysis. Implementation tests were passed successfully.

 **Documentation:**
+The new functionality was documented in the article concerning `plot` in both languages.

 **Tests:**
    • status: implementing --> testing
     

  • Erik Hänel

    Erik Hänel - 2017-05-13
    • Description has changed:

    Diff:

    --- old
+++ new
@@ -10,3 +10,4 @@
 The new functionality was documented in the article concerning `plot` in both languages.

 **Tests:**
+Tests were passed without deviation. Functionality works as expected. However, the results are still dependent on the actual number of samples used for calculating the plot.
    • status: testing --> closed
     

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