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Leer Challenge 5: Adding Text to Plots | Matplotlib
Data Science Interview Challenge
course content

Cursusinhoud

Data Science Interview Challenge

Data Science Interview Challenge

1. Python
2. NumPy
3. Pandas
4. Matplotlib
5. Seaborn
6. Statistics
7. Scikit-learn

book
Challenge 5: Adding Text to Plots

Annotating and adding textual elements to plots can provide context and clarity to the data being presented. These textual elements can:

  • Highlight specific data points or trends in the data.
  • Explain the significance of certain features of the plot.
  • Provide additional details or supplementary information that doesn't fit neatly into the x or y axis labels.

Matplotlib offers versatile text and annotation functions that allow you to place text in arbitrary positions, adjust its style, and even point to specific parts of the chart.

Enhancing your plots with appropriate textual elements ensures that the viewer can grasp the full story behind the data.

Taak

Swipe to start coding

Using Matplotlib, add text and annotations to a simple line plot:

  1. Label the x-axis as X-Axis and the y-axis as Y-Axis.
  2. Determine the maximum and minimum y-values from the given data and annotate these points on the plot. Also, include arrows pointing to the max and min points.
  3. Insert a textual note at the coordinate (2.45, 2) with the content 'The greatest decline', rotated at an angle of -72 degrees.

Oplossing

Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 4. Hoofdstuk 5
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book
Challenge 5: Adding Text to Plots

Annotating and adding textual elements to plots can provide context and clarity to the data being presented. These textual elements can:

  • Highlight specific data points or trends in the data.
  • Explain the significance of certain features of the plot.
  • Provide additional details or supplementary information that doesn't fit neatly into the x or y axis labels.

Matplotlib offers versatile text and annotation functions that allow you to place text in arbitrary positions, adjust its style, and even point to specific parts of the chart.

Enhancing your plots with appropriate textual elements ensures that the viewer can grasp the full story behind the data.

Taak

Swipe to start coding

Using Matplotlib, add text and annotations to a simple line plot:

  1. Label the x-axis as X-Axis and the y-axis as Y-Axis.
  2. Determine the maximum and minimum y-values from the given data and annotate these points on the plot. Also, include arrows pointing to the max and min points.
  3. Insert a textual note at the coordinate (2.45, 2) with the content 'The greatest decline', rotated at an angle of -72 degrees.

Oplossing

Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 4. Hoofdstuk 5
Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
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