Python_01e
This page covers are the absolute basics of line plotting using Dataframes
Simple dataframe
First import the libraries to do the plots and conversions
(Which libraries you choose to use comes with experience)
import pandas as pd
import seaborn as sns
Then create some dummy data
#dummy example data in the form of a 'dictionary'
table1 = {'names': ['Jack', 'Clara','Alex', \
'Julia', 'Steve', 'Suki',\
'Yoko', 'Julie', 'Stephan',\
'James', 'Carl','Amy', \
'Judith', 'Sam', 'Amita',\
'Aoi', 'Julia', 'Stephan'],
'gender': ['M','F','F','F','M','F','F','F','M',\
'M','F','M','F','M','F','F','F','M'],
'weight':[76, 51, 55, 59, 90, 57, 49, 58, 92,\
73, 54, 51, 61, 89, 58, 50, 55, 87],
'height': [173, 168, 165, 171, 167, 158, 138, 178, 173, \
164, 173, 155, 168, 171, 151, 139, 172, 169]}
Change the dummy data to a DataFrame to suit the Seaborn plot
Make a plot
Save the data for later to a generic csv file
patients = pd.DataFrame(table1)
sns.pairplot(patients, hue='gender')
patients.to_csv('patients_info.csv')