95th percentile of an array or list using numpy Let’s look at some examples of using the above syntax to get the percentiles in Python. # using pandas - 95th percentile value of column 'Col' in df The following is the syntax for both – # using numpy - 95th percentile value of the array arr You can also use the pandas quantile() function to get the nth percentile of a pandas series. You can use the numpy percentile() function on array or sequence of values. In this tutorial, we will look at how to calculate the nth percentile value (for example, the 95th percentile) in Python. For example, the 25th percentile value is the value that is greater than 25% of the values present in the data. The nth percentile value denotes that n% of the values in the given sequence are smaller than this value. Percentiles are descriptive statistics that tell us about the distribution of the values.
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