Installation and Import¶
Matplotlib is the foundational plotting library for Python scientific computing.
Installation¶
Install via pip:
pip install matplotlib
Or via conda:
conda install matplotlib
Import Convention¶
The standard import convention uses plt as the alias:
import matplotlib.pyplot as plt
For numerical data, NumPy is typically imported alongside:
import matplotlib.pyplot as plt
import numpy as np
Version Check¶
import matplotlib
print(matplotlib.__version__)
Backend Configuration¶
Matplotlib uses backends for rendering. Common backends include:
import matplotlib
matplotlib.use('TkAgg') # Before importing pyplot
In Jupyter notebooks:
%matplotlib inline # Static images
%matplotlib notebook # Interactive
Verifying Installation¶
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 2 * np.pi, 100)
y = np.sin(x)
plt.plot(x, y)
plt.show()
If a plot window appears (or renders inline in Jupyter), the installation is successful.
Key Takeaways¶
- Install with
pip install matplotliborconda install matplotlib - Import as
import matplotlib.pyplot as plt - Configure backend before importing pyplot if needed