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Milliseid tööriistu kasutad diagrammide joonistamiseks?
sobes.tech AI
Vastus AI-lt
In the field of machine learning and data visualization, I often use the following tools for drawing diagrams:
- Matplotlib — a basic library for creating graphs in Python, suitable for line charts, histograms, and scatter plots.
- Seaborn — an overlay on Matplotlib with more attractive and informative styles, useful for statistical visualization.
- Plotly — interactive graphs that can be embedded into web applications, supporting 3D charts and dashboards.
- Graphviz — for visualizing graphs and trees, often used to display data structures and models.
- D3.js — a JavaScript library for creating complex interactive diagrams in the browser.
Example of a simple graph with Matplotlib:
import matplotlib.pyplot as plt
x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]
plt.plot(x, y, marker='o')
plt.title('Simple line graph example')
plt.xlabel('X')
plt.ylabel('Y')
plt.show()