Conditionally format Python pandas cell

Conditionally format Python pandas cell

You can conditionally format cells in a pandas DataFrame using the style property. The style property provides methods to apply formatting based on specific conditions. Here's how you can conditionally format cells in a pandas DataFrame:

import pandas as pd # Sample DataFrame data = { 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 22] } df = pd.DataFrame(data) # Define a function to apply conditional formatting def highlight_age(age): if age < 25: return 'color: red' elif age > 30: return 'color: green' else: return 'color: black' # Apply the function using the style property styled_df = df.style.applymap(highlight_age, subset=['Age']) # Display the styled DataFrame styled_df

In this example, the highlight_age function defines the conditions for formatting based on the age value. The function returns a CSS-style string that defines the formatting, such as changing the text color. You can customize the formatting as needed.

The applymap method is used to apply the formatting function element-wise to each cell in the specified subset of the DataFrame.

Keep in mind that the style property doesn't modify the original DataFrame; it creates a new styled DataFrame object. If you want to save the styled DataFrame to a file or export it, you need to convert it to a different format like HTML or Excel.

Examples

  1. How to conditionally format cells in a pandas DataFrame in Python?

    • Description: Users want to apply conditional formatting to specific cells in a pandas DataFrame based on certain criteria, such as value ranges or comparisons.
    • Code:
      import pandas as pd # Assuming df is your DataFrame def color_negative_red(val): color = 'red' if val < 0 else 'black' return 'color: %s' % color df.style.applymap(color_negative_red)

  2. Python pandas: Conditionally format DataFrame cells based on values

    • Description: This query revolves around conditionally formatting cells in a pandas DataFrame based on the values they contain, enabling visual differentiation of data based on specific conditions.
    • Code:
      import pandas as pd # Assuming df is your DataFrame def highlight(value): if value > 0: return 'background-color: yellow' elif value < 0: return 'background-color: red' else: return '' df.style.applymap(highlight)

  3. Conditional cell formatting in pandas DataFrame

    • Description: Users are interested in applying conditional formatting to cells within a pandas DataFrame, allowing for visual representation of data based on predefined conditions.
    • Code:
      import pandas as pd # Assuming df is your DataFrame def highlight_max(s): is_max = s == s.max() return ['background-color: yellow' if v else '' for v in is_max] df.style.apply(highlight_max)

  4. Python pandas: Apply conditional formatting to DataFrame cells

    • Description: This query pertains to applying conditional formatting to cells in a pandas DataFrame, enabling users to visually emphasize data based on specific conditions.
    • Code:
      import pandas as pd # Assuming df is your DataFrame def highlight_greater_than_100(x): return ['background-color: yellow' if x > 100 else '' for x in x] df.style.apply(highlight_greater_than_100)

  5. Pandas DataFrame: Conditionally format cell values in Python

    • Description: Users seek a method to conditionally format cell values in a pandas DataFrame using Python, allowing for the visual enhancement of data representation.
    • Code:
      import pandas as pd # Assuming df is your DataFrame def color_negative_red(val): color = 'red' if val < 0 else 'black' return 'color: %s' % color df.style.applymap(color_negative_red)

  6. Python pandas: Conditionally format specific cells in DataFrame

    • Description: This query focuses on conditionally formatting specific cells within a pandas DataFrame based on user-defined conditions, facilitating visual data representation.
    • Code:
      import pandas as pd # Assuming df is your DataFrame def highlight_specific_cells(x): return ['background-color: yellow' if i == 2 and j == 3 else '' for i in range(len(x)) for j in range(len(x[i]))] df.style.apply(highlight_specific_cells)

  7. How to apply conditional formatting to pandas DataFrame cells in Python?

    • Description: Users want to learn how to apply conditional formatting to cells in a pandas DataFrame using Python, allowing for the visual enhancement of data representation.
    • Code:
      import pandas as pd # Assuming df is your DataFrame def highlight_max(s): is_max = s == s.max() return ['background-color: yellow' if v else '' for v in is_max] df.style.apply(highlight_max)

  8. Pandas: Apply conditional formatting to DataFrame cells in Python

    • Description: This query revolves around applying conditional formatting to cells in a pandas DataFrame using Python, enabling users to visually emphasize data based on specific conditions.
    • Code:
      import pandas as pd # Assuming df is your DataFrame def highlight_negative(x): return ['color: red' if val < 0 else '' for val in x] df.style.apply(highlight_negative)

  9. Python pandas: Conditionally format DataFrame cells based on values

    • Description: Users seek guidance on conditionally formatting cells in a pandas DataFrame based on the values they contain, enabling visual differentiation of data based on predefined conditions.
    • Code:
      import pandas as pd # Assuming df is your DataFrame def highlight(value): if value > 0: return 'background-color: yellow' elif value < 0: return 'background-color: red' else: return '' df.style.applymap(highlight)

  10. Conditional formatting of cells in pandas DataFrame using Python

    • Description: This query pertains to the conditional formatting of cells in a pandas DataFrame using Python, allowing for visual data representation based on predefined conditions.
    • Code:
      import pandas as pd # Assuming df is your DataFrame def highlight(value): if value > 0: return 'background-color: yellow' elif value < 0: return 'background-color: red' else: return '' df.style.applymap(highlight)

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