It is always nice to have tidy and visually appealing graphs.

As a matter of fact there is always a few lines of code necessary to beautify default graphs. This post contains those handy snippets and even more.

There are few ways to follow:

  • tune matplotlib-plotted graphs: dejunkify, set color scheme, additional tweaks
  • seaborn library with predefined scheme + a few more tunes via library wrapper

Dejunkify matplotlib graph

First, import matplotlib, instantiate variables and plot graph.

import matplotlib.pyplot as plt
import numpy as np
%matplotlib notebook

# Define Variables
train_score = [ 0.56647847, 0.93155951, 0.99039881, 1., 1., 1. ]
test_score = [ 0.56768547, 0.92959558, 0.98965952, 1., 0.99507994, 0.52240279 ]
ind = np.arange(6)
width = 0.3

# Barplots
fig, ax = plt.subplots(figsize=(10,8))
bars_train = ax.bar(ind, train_score, width, linewidth = 0.3, edgecolor='black', alpha = 0.8, label='Train');
bars_test = ax.bar(ind+width, test_score, width, linewidth = 0.3, edgecolor='black', alpha = 0.8, label='Test');
<IPython.core.display.Javascript object>

Aesthetic code snippet

Now improve visual part.

Setting horizontal line, title, labels, limits, remove spines and unnecessary ticks, assigns ticks and ticklabels we need, show the legend, and also soften text.

# Improve Aesthetics
ax.axhline(1, lw=0.6, linestyle='--')

ax.set_title('Compare Train and Test scores\nfor SVC with gamma from 0.0001 to 10', alpha=0.7)
ax.set_ylim(0, 1.2)
ax.set_ylabel('Accuracy Score', alpha = 0.7)
ax.set_xlabel('Gamma log -4 to 1 (0.0001 to 10)', alpha = 0.7)
ax.set_xticks(ind)
ax.set_xticklabels(['0.0001', '0.0010', '0.0100', '0.1000', '1.0000', '10.0000'])

ax.tick_params(axis='both', top='off', bottom='off', left='on', right='off',
               labelleft='on', labelbottom='on',
               color='#404040',
               labelcolor='#404040')
for i,spine in enumerate(ax.spines.values()):
    spine.set_visible(False)

ax.legend();
### Adding values atop the bars:
for bar in bars_train:
    height = bar.get_height()
    print(height)
    ax.text(bar.get_x() + bar.get_width()/2, (height+height*0.03), '{:.2f}'.format(float(height)), 
                 ha='center', color='black', fontsize=10, alpha=0.75)
0.56647847
0.93155951
0.99039881
1.0
1.0
1.0

Layout and annotations

We can use a very distinctive color palette ColorBlind 10. Color palettes on Tableau.

cb_dark_blue = (0/255, 107/255, 164/255)
cb_orange = (255/255, 128/255, 14/255)

# Apply color and linewidth as following:
ax.plot(x, y, c=cb_dark_blue, linewidth=3)
ax.plot(x, y, c=cb_orange, linewidth=3)

# Add text annotations
ax.text(x, y, 'Vivid label')

Seaborn


Seaborn visualization library, which is built on top of matplotlib. Seaborn has good support for more complex plots, attractive default styles, and integrates well with the pandas library.

Even importing seaborn automatically affects all graphs.

import seaborn as sns
import pandas as pd

# Define data
titanic = pd.read_csv('data/titanic.csv')
cols = ['Survived', 'Pclass', 'Sex', 'Age', 'SibSp', 'Parch', 'Fare', 'Embarked']
titanic = titanic[cols].dropna()

distplot

Histogram with linear contour

# Plotting histogram via seaborn
plt.figure()
sns.distplot(titanic['Age'])
plt.show()
<IPython.core.display.Javascript object>

Seaborn styling

Predefined styles can be chosen with seaborn.set_style() function:

  • darkgrid: Coordinate grid displayed, dark background color
  • whitegrid: Coordinate grid displayed, white background color
  • dark: Coordinate grid hidden, dark background color
  • white: Coordinate grid hidden, white background color
  • ticks: Coordinate grid hidden, white background color, ticks visible
plt.figure()

sns.set_style('white')
sns.kdeplot(titanic['Age'], shade=True)
sns.despine(left=True, bottom=True)

plt.show()
<IPython.core.display.Javascript object>

Seaborn FacetGrid

FacetGrid is another word for subset. A powerful tool allows to visualize subsets of data according to values of another columns. See the example

g = sns.FacetGrid(titanic, col="Pclass", size=3);
g.map(sns.kdeplot, "Age", shade=True);
sns.despine(left=True, bottom=True)
<IPython.core.display.Javascript object>

Can be splitted in even more subsets (col, row and hue)

Adding legend

g = sns.FacetGrid(titanic, col="Survived", row="Pclass", hue="Sex", size=3)
g.map(sns.kdeplot, "Age", shade=True)
g.add_legend()
sns.despine(left=True, bottom=True)
plt.show()
<IPython.core.display.Javascript object>

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