Introduction to Matplotlib

Matplotlib is a Python library for plots. Developers use it to create charts for data analysis, machine learning, and scientific work. It gives full control over lines, labels, titles, and axes. It fits small and large projects.

Why use Matplotlib

• It supports line charts, bar charts, scatter plots, histograms, and more.
• It integrates with NumPy and pandas.
• It works in Jupyter notebooks and Python scripts.
• It offers stable output for research and industry tasks.

Basic installation

pip install matplotlib

Create your first plot

This example shows a simple line plot.

import matplotlib.pyplot as plt

x = [1, 2, 3, 4]
y = [2, 4, 6, 8]

plt.plot(x, y)
plt.title("Simple Line Plot")
plt.xlabel("X Axis")
plt.ylabel("Y Axis")
plt.show()

This code creates a window with a chart. It links each x point with each y point. You can adjust labels and style as needed.

Common plot types

• Line plots for trends.
• Scatter plots for relations between two variables.
• Bar charts for comparisons.
• Histograms for distribution checks.

Tips for clean plots

• Use short titles.
• Label axes with clear words.
• Keep grid lines simple.
• Focus on readable font sizes.

Conclusion

Matplotlib helps build clear charts with few lines of code. It supports data analysis tasks for students and professionals. It works well in AI projects because it gives quick feedback on data patterns.

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Introduction dialecte darija

Matplotlib hiya library f Python li katmken men rasm charts. Tkhdem mzyan f data analysis, machine learning, w t9dir tsayeb biha charts b kontrol kammel. Katshel f notebooks w scripts.

Ash nstafdo men Matplotlib

• Katsupport line charts, bar charts, scatter plots, w histograms.
• Katkhddem mzyan m3a NumPy w pandas.
• Katrun b sor3a f Jupyter.
• Katsayeb charts stables l research w l projects.

Tansib

pip install matplotlib

Awwel plot

import matplotlib.pyplot as plt

x = [1, 2, 3, 4]
y = [2, 4, 6, 8]

plt.plot(x, y)
plt.title("Simple Line Plot")
plt.xlabel("X Axis")
plt.ylabel("Y Axis")
plt.show()

Had code kayrsam line plot basit. Katban window fiha chart. Kitrbat points dyal x m3a y. T9dar tbdel labels w style.

Ash men types

• Line plot bach nshawfo trends.
• Scatter plot bach nshawfo l relation bin variableat.
• Bar chart bach nqarnu values.
• Histogram bach nfhmou distribution.

Tips bach yban chart n9i

• Khdem b title s7el.
• Smi l axes b klam wadi.
• Khelli grid s7el.
• Khdem b font size maqbul.

Khitam

Matplotlib kay3awn bzaaf f rasm charts b sr3a. Kayfit l talaba, beginners, w professionals f AI w data. Kayb9a tool mohim f kol project kaytsana visualization.