I encountered an issue when generating a bar chart using the provided code. When all the values in the incident_counts list are equal, the elements data in the resulting chart object is incorrect. Specifically, the label and value attributes of the elements are not as expected. The value is always fixed at 0.8, which does not match the actual data.
Steps to Reproduce:
Run the following code to generate a bar chart:
Python
复制
import matplotlib.pyplot as plt

Data for the supplier locations and incident counts

supplier_locations = [
"aa",
"bb",
"cc",
"dd",
"ee",
"44"]

incident_counts = [2, 2, 2, 2,2,2]

Create a bar chart

plt.figure(figsize=(10, 6))
plt.plot(supplier_locations, incident_counts, color='blue')
plt.xlabel('Supplier Location ID')
plt.ylabel('Incident Count')
plt.title('Incident Counts by Supplier Location')
plt.xticks(rotation=45, ha="right")
plt.tight_layout()

Store the result for testing or further analysis

result = plt.gcf()
Inspect the elements data of the chart object. You will notice that the label and value attributes are incorrect. The value is always 0.8, regardless of the actual data.
Expected Behavior:
When all the values in the incident_counts list are equal, the elements data in the chart object should still accurately reflect the actual data. The label should correspond to the supplier locations, and the value should match the incident counts.
Actual Behavior:
The elements data is incorrect. The label and value attributes are not as expected. The value is always fixed at 0.8.
Additional Information:
This issue only occurs when all the values in the incident_counts list are equal.
When the values are not all equal, the elements data is correct.