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time-based histograms: docs and test

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Dima Kogan
2021-07-22 17:20:13 -07:00
parent 83df85a8c0
commit a965d9f2ec
14 changed files with 1206 additions and 1457 deletions
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@@ -532,6 +532,34 @@ feedgnuplot --dataid --histo 1,2,3 --binwidth $binwidth \
#+RESULTS:
[[file:guide-20.svg]]
** Time-based histograms
It is possible to combine time data with histograms. For instance, let's say we
monitored something, and came up with a dataset that contains timestamps when
some event occurred. Let's make a histogram of this data to get a larger sense
of when the issue happened:
#+BEGIN_SRC sh :results file link :exports both
cat <<EOF | \
feedgnuplot --timefmt '%Y-%m-%d--%H:%M:%S' --histogram 0 --binwidth 120 \
--set 'format x "%H:%M:%S"'
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EOF
#+END_SRC
#+RESULTS:
[[file:guide-21.svg]]
** Labeled bar charts
=feedgnuplot= supports bar charts to be drawn with labels appearing in the data.
These aren't "histograms", where gnuplot bins the data for us, but rather the
@@ -558,7 +586,7 @@ feedgnuplot --vnl \
#+END_SRC
#+RESULTS:
[[file:guide-21.svg]]
[[file:guide-22.svg]]
We can also pass =--domain= to read the =x= positions from the data also:
@@ -576,7 +604,7 @@ feedgnuplot --vnl --domain \
#+END_SRC
#+RESULTS:
[[file:guide-22.svg]]
[[file:guide-23.svg]]
And we can use gnuplot's clustering capabilities:
@@ -597,7 +625,7 @@ feedgnuplot --vnl \
#+END_SRC
#+RESULTS:
[[file:guide-23.svg]]
[[file:guide-24.svg]]
Or we can vertically stack the bars in each cluster:
@@ -619,7 +647,7 @@ feedgnuplot --vnl \
#+END_SRC
#+RESULTS:
[[file:guide-24.svg]]
[[file:guide-25.svg]]
Using =--xticlabels= to plot bars is probably the most common usage, but
=--xticlabels= means /only/ that we read the x-axis tic labels from the data, so
@@ -641,7 +669,7 @@ feedgnuplot --vnl --domain \
#+END_SRC
#+RESULTS:
[[file:guide-25.svg]]
[[file:guide-26.svg]]
** Vector fields
Documentation in gnuplot available like this:
@@ -667,4 +695,4 @@ feedgnuplot --domain \
#+END_SRC
#+RESULTS:
[[file:guide-26.svg]]
[[file:guide-27.svg]]