Example of how to plot a swarm plot using seaborn

swarmplot_example.py

# encoding: utf-8
# Import required Python modules for this example
import pandas as pd
import seaborn as sb
from matplotlib import pyplot as plt
from matplotlib.ticker import MultipleLocator

# Reading the data
dataframe = pd.read_table('Sensory_measurement.txt', index_col=0)

# This gives us a table in the following form:
#
#          Percold  Perheat  Thcold  Thheat  Tolcold  Tolheat
# Subject                                                    
# 8          30.48    34.95   15.32   45.60     6.87    48.23
# 9          28.82    34.62   17.50   43.13     3.90    49.45
# 10         29.48    34.22   26.38   42.47     3.90    51.22
# 11         30.30    33.63   25.62   37.70     3.90    49.50
# 12         30.07    35.03   19.73   46.53     3.90    51.90
# ...

# Create a new figure
fig = plt.figure(figsize=(8, 8))

# Now we can use Seaborn to create the swarm plot.
sb.swarmplot(data=dataframe, ax=plt.gca())

# Tweak the plot a little
plt.ylabel('Temperature (°C)')  # Label for the y-axis
plt.xlabel('Measurement')  # Label for the x-axis
plt.ylim(3, 55)  # Set temperature range to 3--55

# Fine-tune the minor and major tick marks
plt.gca().yaxis.set_minor_locator(MultipleLocator(0.5))
plt.gca().yaxis.set_major_locator(MultipleLocator(5))

# Add vertical gridlines at each minor and major tick
plt.grid(which='minor', axis='y', linestyle='solid', color='black', alpha=0.2)
plt.grid(which='major', axis='y', linestyle='solid', color='black', alpha=0.5)

# Make a horizontal line at 32°C
plt.axhline(32, linewidth=2, color='black')
plt.text(-0.4, 32, '32°C', va='bottom')  # Write 32°C next to the line

# Remove some margins
plt.tight_layout()