In this short post, we look at how to create a pie chart as follows:
The key code blocks are as follows:
The function to compute the percentages:
def my_autopct(pct):
return ('%.2f' % pct)The function to assign labels:
def get_new_labels(sizes, labels):
new_labels = [label for size, label in zip(sizes, labels)]
return new_labelsHow do you show the labels only for the significant shares (especially if we have many entries in the bar chart)?
This short post demonstrates how you can add the count values to the top of the bars in a bar chart.
Here’s the code snippet:
The high-level idea is as follows:
for…
In novelty detection, you have a dataset that contains only good data and you are trying to check if new observations are similar to the the good data. In other words, our goal is to check if new observations are outliers.
In outlier detection, you dataset may already have outliers…
Answer = 4
You select the y that has the maximum range that does not change the cluster assignment.
