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Вивчайте Theoretical Questions | Matplotlib
Data Science Interview Challenge
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Зміст курсу

Data Science Interview Challenge

Data Science Interview Challenge

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

book
Theoretical Questions

1. Which statement best describes the purpose of a colormap in Matplotlib?

2. What is the primary purpose of using subplots in a figure?

3. Why is it important to label axes and provide legends in plots?

4. Which of the following is NOT a typical use case for Matplotlib?

5. How does Matplotlib handle the integration with Pandas DataFrames?

6. What is the significance of aspect ratio in a plot?

7. Which of the following statements about annotations in plots is true?

8. What does the following code do?

9. If you want to fill the area between two horizontal curves, which function can you use?

question mark

Which statement best describes the purpose of a colormap in Matplotlib?

Виберіть правильну відповідь

question mark

What is the primary purpose of using subplots in a figure?

Виберіть правильну відповідь

question mark

Why is it important to label axes and provide legends in plots?

Виберіть правильну відповідь

question mark

Which of the following is NOT a typical use case for Matplotlib?

Виберіть правильну відповідь

question mark

How does Matplotlib handle the integration with Pandas DataFrames?

Виберіть правильну відповідь

question mark

What is the significance of aspect ratio in a plot?

Виберіть правильну відповідь

question mark

Which of the following statements about annotations in plots is true?

Виберіть правильну відповідь

question mark

What does the following code do?

Виберіть правильну відповідь

question mark

If you want to fill the area between two horizontal curves, which function can you use?

Виберіть правильну відповідь

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