Matplotlib: Plotting with Pyplot

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Questions and Answers

What is the main component of plant cell walls?

  • Cellulose (correct)
  • Lipid
  • Protein
  • Chitin

What process do plants use to obtain energy?

  • Osmosis
  • Cellular respiration
  • Digestion
  • Photosynthesis (correct)

Which of the following is the correct order of the levels of cell organization in plants?

  • Cells -> Tissues -> Organ System -> Organ -> Organism
  • Cells -> Organs -> Tissues -> Organ System -> Organism
  • Tissues -> Cells -> Organ -> Organ System -> Organism
  • Cells -> Tissues -> Organ -> Organ System -> Organism (correct)

What is the study of plant tissues called?

<p>Plant histology (D)</p> Signup and view all the answers

Which type of plant tissue is responsible for covering the outer surfaces of a plant?

<p>Dermal tissue (D)</p> Signup and view all the answers

What is the function of meristematic tissue in plants?

<p>To enable growth through cell division (D)</p> Signup and view all the answers

Which meristem is found at the tips of shoots and roots?

<p>Apical meristem (B)</p> Signup and view all the answers

What is the function of the cuticle found on the epidermis?

<p>To prevent water loss (B)</p> Signup and view all the answers

Which of the following is another name for the epidermis in roots?

<p>Rhizodermis (B)</p> Signup and view all the answers

What is the function of dermal tissue?

<p>Protection from environment (D)</p> Signup and view all the answers

Flashcards

Vascular tissue

A system of tiny tubes throughout the plant.

Xylem

Transports water and minerals upwards from the roots.

Transpiration stream

The process of water movement from root to leaves, where water evaporates.

Phloem

Transports sugars produced during photosynthesis, bidirectionally.

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Translocation

Movement of sugars downwards and upwards in a plant.

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Ground tissue

Tissue found between dermal and vascular tissues.

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Parenchyma

Plant tissue that does most of the work; thin walls and may have intercellular spaces.

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Collenchyma

Plant tissue for backup support with irregularly thickened cell walls.

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Sclerenchyma

Plant tissue for mechanical support; cells are dead with evenly thickened walls.

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Plant tissue

A group of cells similar or identical in structure and function.

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Study Notes

  • Matplotlib is a Python library used for creating static, animated, and interactive visualizations.
  • It allows the creation of publication-quality plots, interactive figures, customizable visual styles, and supports exporting to various file formats.
  • Matplotlib can be embedded in JupyterLab and used with third-party packages.

Installation

  • Use pip install matplotlib to install Matplotlib.

Pyplot

  • matplotlib.pyplot is a module within Matplotlib that provides a MATLAB-like interface.
  • It offers functions to create figures, plotting areas, plot lines, and decorate plots with labels.

Example Plot Creation

  • Import matplotlib.pyplot as plt and numpy as np.
  • Use np.linspace to generate data points for the x-axis.
  • Calculate corresponding y-axis values.
  • Plot the data using plt.plot(x, y).
  • Add axis labels with plt.xlabel and plt.ylabel.
  • Set the plot title using plt.title.
  • Display the plot with plt.show().

Important Functions

  • plt.plot(): Plots lines and/or markers on the axes.
  • plt.show(): Displays a figure.
  • plt.title(): Sets the title of the current axes.
  • plt.xlabel(): Sets the label for the x-axis.
  • plt.ylabel(): Sets the label for the y-axis.
  • plt.legend(): Places a legend on the axes.
  • plt.xlim(): Sets the x-axis view limits.
  • plt.ylim(): Sets the y-axis view limits.
  • plt.grid(): Configures the grid lines.
  • plt.savefig(): Saves the current figure.
  • plt.figure(): Creates a new figure.
  • plt.subplot(): Adds a subplot to the current figure.

Multiple Plots

  • Use plt.subplots(rows, columns) to create a figure with multiple subplots.
  • axs variable becomes an array containing subplot objects.
  • Plot data on specific subplots using axs[index].plot(x, y).
  • Set subplot titles using axs[index].set_title('Title').
  • Use plt.tight_layout() to adjust spacing between subplots.
  • Display the figure with plt.show().

Scatter Plots

  • Use a scatter plot to display the relationship between two variables as a collection of points using plt.scatter().
  • Generate random data for x and y coordinates, colors, and sizes using np.random.rand().
  • Customize the scatter plot with color, size, and transparency using the c, s, and alpha parameters in plt.scatter().

Conclusion

  • Matplotlib is a versatile library for data visualization in Python that provides extensive options and customizations.

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