notebook.community

Note : Examples are taken from daru : http://nbviewer.jupyter.org/github/SciRuby/sciruby-notebooks/blob/master/Data%20Analysis/Plotting/Visualization.ipynb



In [1]:

    
require 'daru/view'









    Out[1]:





true



In [2]:

    
Daru::View.plotting_library = :nyaplot









    














    Out[2]:





:nyaplot

Categorical Vector Visualization



In [3]:

    
dv = Daru::Vector.new [:a, :a, :a, :b, :b, :c], type: :category









    Out[3]:




 Daru::Vector(6):category 

  
  

  
  
    
      0
      a
    
  
    
      1
      a
    
  
    
      2
      a
    
  
    
      3
      b
    
  
    
      4
      b
    
  
    
      5
      c

Bar graph

1. Frequency (count)



In [4]:

    
bar_graph1 = Daru::View::Plot.new(dv, type: :bar)









    Out[4]:





#<Daru::View::Plot:0x0000563f08adfd20 @data=#<Daru::Vector(6):category>
   0   a
   1   a
   2   a
   3   b
   4   b
   5   c, @options={:type=>:bar}, @user_options={}, @adapter=Daru::View::Adapter::NyaplotAdapter, @chart=#<Nyaplot::Plot:0x0000563f08adf4b0 @properties={:diagrams=>[#<Nyaplot::Diagram:0x0000563f08ac47c8 @properties={:type=>:bar, :options=>{:x=>"data0", :y=>"data1"}, :data=>"0d4ca097-306d-4eca-8587-dbe9b7216db5"}, @xrange=[:a, :b, :c], @yrange=[0, 3]>], :options=>{}}>>



In [5]:

    
bar_graph1.chart.class









    Out[5]:





Nyaplot::Plot



In [6]:

    
bar_graph1.show_in_iruby



In [7]:

    
dv = Daru::Vector.new ['III']*10 + ['II']*5 + ['I']*5, type: :category, categories: ['I', 'II', 'III']
dv.type









    Out[7]:





:category



In [8]:

    
bar_graph2 = Daru::View::Plot.new(dv, type: :bar)









    Out[8]:





#<Daru::View::Plot:0x0000563f09674780 @data=#<Daru::Vector(20):category>
   0 III
   1 III
   2 III
   3 III
   4 III
   5 III
   6 III
   7 III
   8 III
   9 III
  10  II
  11  II
  12  II
  13  II
  14  II
 ... ..., @options={:type=>:bar}, @user_options={}, @adapter=Daru::View::Adapter::NyaplotAdapter, @chart=#<Nyaplot::Plot:0x0000563f096743e8 @properties={:diagrams=>[#<Nyaplot::Diagram:0x0000563f0966edd0 @properties={:type=>:bar, :options=>{:x=>"data0", :y=>"data1"}, :data=>"aaff240c-c071-4d9c-a797-2e2a0d2e4acc"}, @xrange=["I", "II", "III"], @yrange=[0, 10]>], :options=>{}}>>



In [9]:

    
bar_graph2.class









    Out[9]:





Daru::View::Plot



In [10]:

    
bar_graph2.chart.class









    Out[10]:





Nyaplot::Plot



In [11]:

    
# Nyaplot methods will work.Since #chart is Nyaplot::Plot class object
bar_graph2.chart.x_label 'Cat'
bar_graph2.chart.y_label 'Frequency'









    Out[11]:



In [12]:

    
bar_graph2.chart # or bar_graph2.show_in_iruby









    Out[12]:

2. Percentage



In [13]:

    
bar_graph2_per = Daru::View::Plot.new(dv, type: :bar, method: :percentage)









    Out[13]:





#<Daru::View::Plot:0x0000563f09384db8 @data=#<Daru::Vector(20):category>
   0 III
   1 III
   2 III
   3 III
   4 III
   5 III
   6 III
   7 III
   8 III
   9 III
  10  II
  11  II
  12  II
  13  II
  14  II
 ... ..., @options={:type=>:bar, :method=>:percentage}, @user_options={}, @adapter=Daru::View::Adapter::NyaplotAdapter, @chart=#<Nyaplot::Plot:0x0000563f09384d18 @properties={:diagrams=>[#<Nyaplot::Diagram:0x0000563f093777a8 @properties={:type=>:bar, :options=>{:x=>"data0", :y=>"data1"}, :data=>"bd6240eb-4cf9-4ac0-ac36-b3d881417ea6"}, @xrange=["I", "II", "III"], @yrange=[0, 50.0]>], :options=>{:yrange=>[0, 100]}}>>



In [14]:

    
bar_graph2_per.chart.x_label 'Categories'
bar_graph2_per.chart.y_label 'Percentage (%)'
bar_graph2_per.show_in_iruby

3. Fraction



In [15]:

    
bar_graph2_frac = Daru::View::Plot.new(dv, type: :bar, method: :fraction)









    Out[15]:





#<Daru::View::Plot:0x0000563f08e16930 @data=#<Daru::Vector(20):category>
   0 III
   1 III
   2 III
   3 III
   4 III
   5 III
   6 III
   7 III
   8 III
   9 III
  10  II
  11  II
  12  II
  13  II
  14  II
 ... ..., @options={:type=>:bar, :method=>:fraction}, @user_options={}, @adapter=Daru::View::Adapter::NyaplotAdapter, @chart=#<Nyaplot::Plot:0x0000563f08e15ee0 @properties={:diagrams=>[#<Nyaplot::Diagram:0x0000563f08e09438 @properties={:type=>:bar, :options=>{:x=>"data0", :y=>"data1"}, :data=>"123767c9-f679-4cfb-b011-68d860975481"}, @xrange=["I", "II", "III"], @yrange=[0, 0.5]>], :options=>{:yrange=>[0, 1]}}>>



In [16]:

    
# bar_graph2_frac.chart.x_label 'Categories'
bar_graph2_frac.chart.y_label 'Fraction'
bar_graph2_frac.show_in_iruby

Categorical data visualization in Dataframe

Bar Graph



In [17]:

    
df = Daru::DataFrame.new({
  a: [1, 2, 4, -2, 5, 23, 0],
  b: [3, 1, 3, -6, 2, 1, 0],
  c: ['I', 'II', 'I', 'III', 'I', 'III', 'II']
  })
df.to_category :c
df[:c].type









    Out[17]:





:category



In [18]:

    
bar_graph3 = Daru::View::Plot.new(df, type: :bar, x: :c)









    Out[18]:





#<Daru::View::Plot:0x0000563f0869fe40 @data=#<Daru::DataFrame(7x3)>
       a   b   c
   0   1   3   I
   1   2   1  II
   2   4   3   I
   3  -2  -6 III
   4   5   2   I
   5  23   1 III
   6   0   0  II, @options={:type=>:bar, :x=>:c}, @user_options={}, @adapter=Daru::View::Adapter::NyaplotAdapter, @chart=#<Nyaplot::Plot:0x0000563f08673200 @properties={:diagrams=>[#<Nyaplot::Diagram:0x0000563f0984acd0 @properties={:type=>:bar, :options=>{:value=>:c}, :data=>"c80a88de-f7ea-4863-b89d-1da3265012db"}, @xrange=["I", "II", "III"], @yrange=[0, 7]>], :options=>{}}>>



In [19]:

    
bar_graph3.show_in_iruby

Scatter plot categorized by categorical variable

Plots can be categorized by

Color
Size
Shape



In [20]:

    
df = Daru::DataFrame.new({
  a: [1, 2, 4, -2, 5, 23, 0],
  b: [3, 1, 3, -6, 2, 1, 0],
  c: ['I', 'II', 'I', 'III', 'I', 'III', 'II']
  })
df.to_category :c
df[:c].type









    Out[20]:





:category



In [21]:

    
scatter_1 = Daru::View::Plot.new(df, type: :scatter, x: :a, y: :b, categorized: {by: :c, method: :color})









    Out[21]:





#<Daru::View::Plot:0x0000563f096583c8 @data=#<Daru::DataFrame(7x3)>
       a   b   c
   0   1   3   I
   1   2   1  II
   2   4   3   I
   3  -2  -6 III
   4   5   2   I
   5  23   1 III
   6   0   0  II, @options={:type=>:scatter, :x=>:a, :y=>:b, :categorized=>{:by=>:c, :method=>:color}}, @user_options={}, @adapter=Daru::View::Adapter::NyaplotAdapter, @chart=#<Nyaplot::Plot:0x0000563f0964bc90 @properties={:diagrams=>[#<Nyaplot::Diagram:0x0000563f0963a170 @properties={:type=>:scatter, :options=>{:x=>:a, :y=>:b, :title=>"I", :color=>"rgb(141,211,199)", :tooltip_contents=>["I", "I", "I"]}, :data=>"11bbcb70-b57d-4ae0-83f9-06904e460b0c"}, @xrange=[1, 5], @yrange=[2, 3]>, #<Nyaplot::Diagram:0x0000563f096227f0 @properties={:type=>:scatter, :options=>{:x=>:a, :y=>:b, :title=>"II", :color=>"rgb(255,255,179)", :tooltip_contents=>["II", "II"]}, :data=>"3c02adbf-fd35-40f6-ac50-204b752b15d9"}, @xrange=[0, 2], @yrange=[0, 1]>, #<Nyaplot::Diagram:0x0000563f09602a90 @properties={:type=>:scatter, :options=>{:x=>:a, :y=>:b, :title=>"III", :color=>"rgb(190,186,218)", :tooltip_contents=>["III", "III"]}, :data=>"2bf57fd9-994f-45ef-b957-e0638ab2b6a5"}, @xrange=[-2, 23], @yrange=[-6, 1]>], :options=>{:legend=>true}}>>



In [22]:

    
scatter_1.show_in_iruby



In [23]:

    
scatter_1.chart.xrange [-10, 10]
scatter_1.chart.yrange [-10, 10]









    Out[23]:



In [24]:

    
scatter_2 = Daru::View::Plot.new(df, type: :scatter, x: :a, y: :b, categorized: {by: :c, method: :shape})
scatter_2.show_in_iruby



In [25]:

    
scatter_2.chart.xrange [-10, 10]
scatter_2.chart.yrange [-10, 10]









    Out[25]:



In [26]:

    
scatter_3 = Daru::View::Plot.new(df, type: :scatter, x: :a, y: :b, categorized: {by: :c, method: :color, color: [:red, :blue, :green]})
scatter_3.show_in_iruby
scatter_2.chart.xrange [-10, 10]
scatter_2.chart.yrange [-10, 10]



In [27]:

    
scatter_4 = Daru::View::Plot.new(df, type: :scatter, x: :a, y: :b, categorized: {by: :c, method: :size, size: [300, 600, 900]})
scatter_4.show_in_iruby
scatter_4.chart.xrange [-10, 10]
scatter_4.chart.yrange [-10, 10]

Line plot categorized by categorical variable

It works similar to Scatter plot above and all options are same except that there's no categorization by size but instead there is categorization by stroke_width in line plots.



In [28]:

    
df = Daru::DataFrame.new({
  a: [1, 2, 3, 4, 5, 6, 7, 8, 9],
  b: [2, 4, 6, 1, 3, 5, 6, 4, 3],
  c: ['I']*3 + ['II']*3 + ['III']*3
  })
df.to_category :c
df[:c].type









    Out[28]:





:category



In [29]:

    
line_1 = Daru::View::Plot.new(df, type: :line, x: :a, y: :b, categorized: {by: :c, method: :color})
line_1.show_in_iruby



In [30]:

    
line_2 = Daru::View::Plot.new(df, type: :line, x: :a, y: :b, categorized: {by: :c, method: :stroke_width})
line_2.show_in_iruby
line_2.chart.xrange [-10, 10]
line_2.chart.yrange [-10, 10]



In [ ]: