Reputation: 29
The below code works for the total of each column, but I want to work out the mean for each species.
# Read data file into array
data = numpy.genfromtxt('data/iris.csv', delimiter=',')
# picking the first column of data
firstcol = data[:,0]
meanfirstcol = numpy.mean(data[:,0]) #defining meanfirstcol
print("Mean of First Column is:", meanfirstcol)
Upvotes: 3
Views: 1370
Reputation: 403130
With pandas, this is pretty easy. You'd just need to groupby
on the species
column -
import seaborn as sns
df = sns.load_dataset('iris')
df.groupby('species').mean()
sepal_length sepal_width petal_length petal_width
species
setosa 5.006 3.428 1.462 0.246
versicolor 5.936 2.770 4.260 1.326
virginica 6.588 2.974 5.552 2.026
Upvotes: 3