Python matplotlib.pyplot pie charts: How to remove the label on the left side?

Python matplotlib.pyplot pie charts: How to remove the label on the left side?

In Matplotlib's pyplot module, you can remove the labels on the left side of a pie chart using the labels parameter of the plt.pie() function. To do this, you need to provide an empty list [] as the value of the labels parameter for the slices you want to hide.

Here's how you can remove the labels on the left side of a pie chart:

import matplotlib.pyplot as plt # Sample data sizes = [30, 20, 10, 15, 25] labels = ['A', 'B', 'C', 'D', 'E'] # Create a pie chart plt.pie(sizes, labels=labels, autopct='%1.1f%%', startangle=140) # Remove labels on the left side (e.g., 'C', 'D', 'E') plt.pie([0, 0, 0, 15, 25], labels=['', '', '', 'D', 'E'], colors=['white']) plt.axis('equal') # Equal aspect ratio ensures the pie chart is circular plt.show()

In this example, we create a pie chart with the specified sizes and labels using plt.pie(). Then, we use plt.pie() again to draw a white-colored slice for the labels we want to hide ('C', 'D', 'E') on the left side of the pie chart.

By drawing a white slice with no label, you effectively remove the labels on the left side. The autopct parameter specifies the format of the percentage labels, and the startangle parameter sets the angle at which the pie chart starts.

Feel free to adjust the sizes, labels, and other parameters according to your requirements.

Examples

  1. How to remove labels from a Matplotlib pie chart?

    • Description: This query addresses how to remove all labels from a pie chart, including those on the left side. This can be useful for creating cleaner charts when labels are not needed.
    import matplotlib.pyplot as plt # Sample data sizes = [30, 40, 30] # Create a pie chart with empty labels to remove them plt.pie(sizes, labels=None, autopct='%1.1f%%') # No explicit labels plt.show()

  2. How to remove specific labels from a Matplotlib pie chart?

    • Description: This query involves selectively removing specific labels from a pie chart in Matplotlib, providing flexibility to display only desired labels.
    import matplotlib.pyplot as plt # Sample data sizes = [30, 40, 30] labels = ['Category 1', '', 'Category 3'] # Remove label on the left side # Create a pie chart with selected labels plt.pie(sizes, labels=labels, autopct='%1.1f%%') plt.show()

  3. How to remove the default legend from a Matplotlib pie chart?

    • Description: This query focuses on removing the default legend from a pie chart, which can sometimes appear on the left side and clutter the chart.
    import matplotlib.pyplot as plt # Sample data sizes = [30, 40, 30] labels = ['Category 1', 'Category 2', 'Category 3'] # Create a pie chart with labels but without adding a legend plt.pie(sizes, labels=labels, autopct='%1.1f%%') # No legend explicitly created plt.show()

  4. How to remove slice labels in a Matplotlib pie chart?

    • Description: This query is about removing labels from pie chart slices, including those positioned on the left side, to create a more minimalistic chart.
    import matplotlib.pyplot as plt # Sample data sizes = [30, 40, 30] # Create a pie chart without labels plt.pie(sizes, labels=None, autopct=None) # No labels or percentages plt.show()

  5. How to remove outer labels from a Matplotlib pie chart?

    • Description: This query explores removing the outer labels or legends from a pie chart in Matplotlib to reduce visual clutter, especially for small charts.
    import matplotlib.pyplot as plt # Sample data sizes = [30, 40, 30] # Create a pie chart without outer labels plt.pie(sizes, labels=None, autopct='%1.1f%%') # No outer labels, just percentages plt.show()

  6. How to use wedge labels in Matplotlib pie chart?

    • Description: This query discusses setting labels directly on the pie chart wedges, providing an alternative to external labels or legends.
    import matplotlib.pyplot as plt # Sample data sizes = [30, 40, 30] labels = ['A', 'B', 'C'] # Create a pie chart with labels on wedges wedges, texts, autotexts = plt.pie(sizes, autopct='%1.1f%%') # Position labels inside the pie chart wedges for t in autotexts: t.set_color('white') # Make text visible on colored wedges plt.show()

  7. How to hide legend in Matplotlib pie chart?

    • Description: This query discusses hiding the legend in a Matplotlib pie chart, which can be useful to eliminate unwanted information or labels.
    import matplotlib.pyplot as plt # Sample data sizes = [30, 40, 30] labels = ['A', 'B', 'C'] # Create a pie chart with legend plt.pie(sizes, labels=labels, autopct='%1.1f%%') # Explicitly remove the legend plt.legend().remove() # This hides the legend plt.show()

  8. How to create a label-free Matplotlib pie chart?

    • Description: This query discusses creating a pie chart without any labels, useful for highly simplified or artistic representations.
    import matplotlib.pyplot as plt # Sample data sizes = [30, 40, 30] # Create a pie chart without any labels plt.pie(sizes, labels=None, autopct=None) # No labels or text at all plt.show()

  9. How to hide autopct in a Matplotlib pie chart?

    • Description: This query explores how to hide the automatic percentage labels (autopct) in a pie chart, often to reduce visual clutter.
    import matplotlib.pyplot as plt # Sample data sizes = [30, 40, 30] labels = ['A', 'B', 'C'] # Create a pie chart without percentage labels plt.pie(sizes, labels=labels) # No autopct to avoid percentage labels plt.show()

More Tags

influxdb rotation pkix intervals imagebackground dialect tokenize data-fitting python-extensions android-location

More Python Questions

More Bio laboratory Calculators

More Electronics Circuits Calculators

More Livestock Calculators

More Cat Calculators