how to compute quantiles in pandsa in python

We can compute quantiles for a pandas dataframe using the quantile method. This method takes a number between 0 and 1, representing the desired quantile.

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For example, to calculate the median of the 'column_name' column of a dataframe, we can do:
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df['column_name'].quantile(0.5)
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This will return the median value of the column.

We can also calculate other quantiles, such as the 25th percentile or the 75th percentile, using the same method. For example, to calculate the 25th percentile of the 'column_name' column, we can do:

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df['column_name'].quantile(0.25)
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This will return the value at which 25% of the data in the column is below this value.

quantile method also accepts arguments such as interpolation which specifies the interpolation method to use when the desired quantile lies between two data points. By default, it uses linear interpolation.

For example, to calculate the 95th percentile of the 'column_name' column using the nearest value interpolation method, we can do:

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df['column_name'].quantile(0.95, interpolation='nearest')
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