notebook.community

Edit and run



In [1]:

    
%matplotlib inline



In [2]:

    
import pandas_ml as pdml









    



/Users/sin/miniconda/envs/py27std/lib/python2.7/site-packages/matplotlib/__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.
  warnings.warn(self.msg_depr % (key, alt_key))



In [3]:

    
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams['figure.figsize'] = (4, 3)



In [4]:

    
import seaborn as sns
titanic = sns.load_dataset("titanic")
titanic = pdml.ModelFrame(titanic, target='survived')
titanic.head()









    Out[4]:






  
    
      
      survived
      pclass
      sex
      age
      sibsp
      parch
      fare
      embarked
      class
      who
      adult_male
      deck
      embark_town
      alive
      alone
    
  
  
    
      0
      0
      3
      male
      22
      1
      0
      7.2500
      S
      Third
      man
      True
      NaN
      Southampton
      no
      False
    
    
      1
      1
      1
      female
      38
      1
      0
      71.2833
      C
      First
      woman
      False
      C
      Cherbourg
      yes
      False
    
    
      2
      1
      3
      female
      26
      0
      0
      7.9250
      S
      Third
      woman
      False
      NaN
      Southampton
      yes
      True
    
    
      3
      1
      1
      female
      35
      1
      0
      53.1000
      S
      First
      woman
      False
      C
      Southampton
      yes
      False
    
    
      4
      0
      3
      male
      35
      0
      0
      8.0500
      S
      Third
      man
      True
      NaN
      Southampton
      no
      True



In [5]:

    
tips = sns.load_dataset("tips")
tips = pdml.ModelFrame(tips, target='total_bill')
tips.head()









    Out[5]:






  
    
      
      total_bill
      tip
      sex
      smoker
      day
      time
      size
    
  
  
    
      0
      16.99
      1.01
      Female
      No
      Sun
      Dinner
      2
    
    
      1
      10.34
      1.66
      Male
      No
      Sun
      Dinner
      3
    
    
      2
      21.01
      3.50
      Male
      No
      Sun
      Dinner
      3
    
    
      3
      23.68
      3.31
      Male
      No
      Sun
      Dinner
      2
    
    
      4
      24.59
      3.61
      Female
      No
      Sun
      Dinner
      4



In [6]:

    
iris = sns.load_dataset("iris")
iris = pdml.ModelFrame(iris, target='species')
iris.head()









    Out[6]:






  
    
      
      sepal_length
      sepal_width
      petal_length
      petal_width
      species
    
  
  
    
      0
      5.1
      3.5
      1.4
      0.2
      setosa
    
    
      1
      4.9
      3.0
      1.4
      0.2
      setosa
    
    
      2
      4.7
      3.2
      1.3
      0.2
      setosa
    
    
      3
      4.6
      3.1
      1.5
      0.2
      setosa
    
    
      4
      5.0
      3.6
      1.4
      0.2
      setosa

stripplot



In [7]:

    
tips.sns.stripplot();









    



/Users/sin/miniconda/envs/py27std/lib/python2.7/site-packages/matplotlib/__init__.py:892: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.
  warnings.warn(self.msg_depr % (key, alt_key))

Specifying x keyword vertically plots target values categorized by x values.



In [8]:

    
tips.sns.stripplot(x="day");

Specifying y keyword horizontally plots target values categorized by y values.



In [9]:

    
tips.sns.stripplot(y="day");

You can specify both x and y to show intended plots.



In [10]:

    
tips.sns.stripplot(x="day", y='tip');



In [11]:

    
tips.sns.stripplot(x="day", hue="time");



In [12]:

    
tips.sort_values("size").sns.stripplot(x="size");



In [13]:

    
tips.sns.stripplot(y="day", hue="time");



In [14]:

    
tips.sns.stripplot(x='tip', y="day", hue="time");

boxplot



In [15]:

    
tips.sns.boxplot(x="day", hue="time");

violinplot



In [16]:

    
tips.sns.violinplot(y="day", hue="time");



In [17]:

    
tips.sns.violinplot(y="day", hue="time", bw=.1,
                    scale="count", scale_hue=False);



In [18]:

    
tips.sns.violinplot(x="day", hue="sex", split=True);



In [19]:

    
tips.sns.violinplot(x="day", hue="sex", split=True,
                    inner="stick", palette="Set3");



In [20]:

    
tips.sns.violinplot(x="day", inner=None)
tips.sns.stripplot(x="day", jitter=True, size=4);

barplot



In [21]:

    
titanic.sns.barplot(x="sex", hue="class");



In [22]:

    
titanic.sns.countplot(x='deck', palette="Greens_d");



In [23]:

    
titanic.sns.countplot(palette="Greens_d");



In [24]:

    
titanic.sns.countplot(y="deck", hue="class", palette="Greens_d");

pointplot



In [25]:

    
titanic.sns.pointplot(x="sex", hue="class");



In [26]:

    
titanic.sns.pointplot(x="class", hue="sex",
                      palette={"male": "g", "female": "m"},
                      markers=["^", "o"], linestyles=["-", "--"]);

Drawing multi-panel categorical plots



In [27]:

    
iris.sns.boxplot(orient="h");



In [28]:

    
iris.sns.violinplot(x='species', y='sepal_length');



In [29]:

    
iris.sns.violinplot(y='sepal_length');



In [30]:

    
titanic.sns.countplot(y="deck", color="c");



In [31]:

    
tips.sns.factorplot(x="day", hue="smoker");



In [32]:

    
tips.sns.factorplot(x="day", hue="smoker", kind="bar");



In [33]:

    
tips.sns.factorplot(x="day", hue="smoker", col="time", kind="bar");



In [34]:

    
tips.sns.factorplot(x="time", hue="smoker", col="day",
                    kind="box", size=4, aspect=.5);









    



/Users/sin/miniconda/envs/py27std/lib/python2.7/site-packages/seaborn/categorical.py:462: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
  hue_mask = self.plot_hues[i] == hue_level



In [35]:

    
g = tips.sns.PairGrid(x_vars=["smoker", "time", "sex"],
                      y_vars=["total_bill", "tip"],
                      aspect=.75, size=3.5)
g.map(sns.violinplot, palette="pastel");

	survived	pclass	sex	age	sibsp	fare	embarked	class	who	adult_male	deck	embark_town	alive	alone
0	0	3	male	22	1	7.2500	S	Third	man	True	NaN	Southampton	no	False
1	1	1	female	38	1	71.2833	C	First	woman	False	C	Cherbourg	yes	False
2	1	3	female	26	0	7.9250	S	Third	woman	False	NaN	Southampton	yes	True
3	1	1	female	35	1	53.1000	S	First	woman	False	C	Southampton	yes	False
4	0	3	male	35	0	8.0500	S	Third	man	True	NaN	Southampton	no	True

	total_bill	tip	sex	smoker	day	time	size
0	16.99	1.01	Female	No	Sun	Dinner	2
1	10.34	1.66	Male	No	Sun	Dinner	3
2	21.01	3.50	Male	No	Sun	Dinner	3
3	23.68	3.31	Male	No	Sun	Dinner	2
4	24.59	3.61	Female	No	Sun	Dinner	4

	sepal_length	sepal_width	petal_length	petal_width	species
0	5.1	3.5	1.4	0.2	setosa
1	4.9	3.0	1.4	0.2	setosa
2	4.7	3.2	1.3	0.2	setosa
3	4.6	3.1	1.5	0.2	setosa
4	5.0	3.6	1.4	0.2	setosa