matplotlib plotting cookbook
ndn(1000) plt.hist(data, bins=30) plt.title("Histogram of Normally Distributed Data") plt.xlabel("Value") plt.ylabel("Frequency") plt.show() ``` Scatter Plots Best for visualizing relationships between two vari
Articles tagged with matplotlib.
ndn(1000) plt.hist(data, bins=30) plt.title("Histogram of Normally Distributed Data") plt.xlabel("Value") plt.ylabel("Frequency") plt.show() ``` Scatter Plots Best for visualizing relationships between two vari
200, 250], 'b-') ax2.set_ylabel('Distance', color='b') plt.title("Graphique avec axes secondaires") plt.show() ``` Styles et thèmes Matplotlib 3.0 facilite l’application de styles pour donner une allure professionnelle à vos graphiques. ```python plt.style.use('ggplot') plt.plot(x, y) plt.t