Pandas Styling: Exercises, Practice, Solution
[An editor is available at the bottom of the page to write and execute the scripts.]
Styling: This is a new feature and still under development. The styling is accomplished using CSS. You can write "style functions" that take scalars, DataFrames or Series, and return like-indexed DataFrames or Series with CSS "attribute: value" pairs for the values.
Pandas Styling [15 exercises with solution]
1. Create a dataframe of ten rows, four columns with random values. Write a Pandas program to highlight the negative numbers red and positive numbers black. Go to the editor
Expected Output:
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2. Create a dataframe of ten rows, four columns with random values. Convert some values to nan values. Write a Pandas program which will highlight the nan values. Go to the editor
Expected Output:
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3. Create a dataframe of ten rows, four columns with random values. Write a Pandas program to highlight the maximum value in each column. Go to the editor
Expected Output:
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4. Create a dataframe of ten rows, four columns with random values. Write a Pandas program to highlight the minimum value in each column. Go to the editor
Expected Output:
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5. Create a dataframe of ten rows, four columns with random values. Write a Pandas program to highlight the maximum value in last two columns. Go to the editor
Expected Output:
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6. Create a dataframe of ten rows, four columns with random values. Write a Pandas program to set dataframe background Color black and font color yellow. Go to the editor
Expected Output:
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7. Create a dataframe of ten rows, four columns with random values. Write a Pandas program to highlight dataframe's specific columns. Go to the editor
Expected Output:
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8. Create a dataframe of ten rows, four columns with random values. Write a Pandas program to highlight dataframe's specific columns with different colors. Go to the editor
Expected Output:
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9. Create a dataframe of ten rows, four columns with random values. Write a Pandas program to display the dataframe in table style. Go to the editor
Expected Output:
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10. Create a dataframe of ten rows, four columns with random values. Write a Pandas program to highlight the entire row in Yellow where a specific column value is greater than 0.5. Go to the editor
Expected Output:
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11. Create a dataframe of ten rows, four columns with random values. Write a Pandas program to display the dataframe in Heatmap style. Go to the editor
Expected Output:
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12. Create a dataframe of ten rows, four columns with random values. Write a Pandas program to make a gradient color mapping on a specified column. Go to the editor
Expected Output:
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13. Create a dataframe of ten rows, four columns with random values. Write a Pandas program to make a gradient color on all the values of the said dataframe. Go to the editor
Expected Output:
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14. Create a dataframe of ten rows, four columns with random values. Write a Pandas program to display the dataframe in table style and border around the table and not around the rows. Go to the editor
Expected Output:
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15. Create a dataframe of ten rows, four columns with random values. Write a Pandas program to display bar charts in dataframe on specified columns. Go to the editor
Expected Output:
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Python Code Editor:
[ Want to contribute to Python Pandas exercises? Send your code (attached with a .zip file) to us at w3resource[at]yahoo[dot]com. Please avoid copyrighted materials.]
Python: Tips of the Day
Returns the maximum value of a list, after mapping each element to a value using the provided function
Example:
def tips_max(lst, fn):
return max(map(fn, lst))
print(tips_max([{ 'n': 4 }, { 'n': 2 }, { 'n': 8 }, { 'n': 6 }], lambda v : v['n']))
Output:
8
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