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--- data-analysis [2023/04/16 12:35] – [GnuPlot] dblume
+++ data-analysis [2024/01/14 09:20] – [GnuPlot] dblume
@@ Line 25: / Line 25: @@
 Here's an example command given the following two files, data.csv and gnuplot_instructions.gpi
-  gnuplot -e "f='data.csv'; t='Rating'" gnuplot_instructions.gpi
+  gnuplot -e "f='data.csv'" gnuplot_instructions.gpi
 <file csv data.csv>
+date,col1,col2
 -01-01,5,14
 -02-01,4,15
@@ Line 70: / Line 71: @@
 #
 set datafile sep ','
+set key autotitle columnhead  # use the first line as title
+firstrow = system('head -1 '.f. ' | tr "_," "-  "')
+set xlabel word(firstrow, 1)
+set ylabel word(firstrow, 2)
 #
@@ Line 77: / Line 82: @@
 #
 #plot f using 1:4 with lines, f using 1:3 with linespoints
-#plot f using 1:2 with lines title t, f using 1:3 with linespoints title 'Legend 2'
+#plot f using 1:2 with lines, f using 1:3 with linespoints title 'Legend 2'
-plot f using 1:2 with linespoints title t
+plot f using 1:2 with linespoints
 </file>
@@ Line 91: / Line 95: @@
         * NumPy: Fundamental, the other projects rely on it.
         * Matplotlib: Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy.
+    * Plotly: Generates interactive Javascript plots
 Here's [[https://github.com/Manishms18/Air-Passengers-Time-Series-Analysis/blob/master/Air_Passenger_with_explanations.ipynb|an example analysis of AirPassengers over time]].
@@ Line 111: / Line 116: @@
 **Get this**. NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation.
+==== Plotly ====
+Undecided whether to use this. See [[https://towardsdatascience.com/matplotlib-vs-plotly-lets-decide-once-and-for-all-dc3eca9aa011|Matplotlib vs. Plotly: Let’s Decide Once and for All]]. Need to experiment. plotly.py is an interactive, open-source, and JavaScript-based graphing library for Python. Built on top of plotly.js, plotly.py is a high-level, declarative charting library that includes over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts.
 ==== Matplotlib ====
@@ Line 148: / Line 157: @@
 set xdata time
 set format x '%Y'
-set xlabel 'Year'
+set key autotitle columnhead  # use the first line for titles in legend
-set ylabel 'Passengers'
+set xlabel 'Year'             # except for X, where we show Year not Month
 set datafile sep ','
 # You can use: lines, points, linespoints
-plot 'AirPassengers.csv' using 1:2 with lines title 'Airline Passengers'
+plot 'AirPassengers.csv' using 1:2 with lines
 </file>
@@ Line 165: / Line 174: @@
 +-------------------------------------------------------------------------------+
     |      +     +      +      +     +      +      +     +      +      +     +      |
-    |                                                    Airline Passengers ******* |
+    |                                                           #Passengers ******* |
     |                                                                            *  |
 |-+                                                                          *+-|