Violin plots combine box plots and kernel density plots or histograms in one type of plot. Seaborn and matplotlib both offer violin plots. We will use Seaborn in this recipe on z-scores of weather data. The z-scoring is not essential, but without it, the violins will be more spread out.
Import the required libraries as follows:
import seaborn as sns from dautil import data import matplotlib.pyplot as plt
Load the weather data and calculate z-scores:
df = data.Weather.load() zscores = (df - df.mean())/df.std()
Plot a violin plot of the z-scores:
%matplotlib inline plt.figure() plt.title('Weather Violin Plot') sns.violinplot(zscores.resample('M')) plt.ylabel('Z-scores')
Refer to the following plot for the first violin plot:
Plot a violin plot of rainy and dry (the opposite of rainy) days against wind speed:
plt.figure() plt.title('Rainy Weather vs Wind Speed') categorical = df categorical['RAIN'] = categorical['RAIN'] >...