[python] pandas: find percentile stats of a given column

I have a pandas data frame my_df, where I can find the mean(), median(), mode() of a given column:

my_df['field_A'].mean()
my_df['field_A'].median()
my_df['field_A'].mode()

I am wondering is it possible to find more detailed stats such as 90 percentile? Thanks!

You can even give multiple columns with null values and get multiple quantile values (I use 95 percentile for outlier treatment)

my_df[['field_A','field_B']].dropna().quantile([0.0, .5, .90, .95])

I figured out below would work:

my_df.dropna().quantile([0.0, .9])

assume series s

s = pd.Series(np.arange(100))

Get quantiles for [.1, .2, .3, .4, .5, .6, .7, .8, .9]

s.quantile(np.linspace(.1, 1, 9, 0))

0.1     9.9
0.2    19.8
0.3    29.7
0.4    39.6
0.5    49.5
0.6    59.4
0.7    69.3
0.8    79.2
0.9    89.1
dtype: float64

OR

s.quantile(np.linspace(.1, 1, 9, 0), 'lower')

0.1     9
0.2    19
0.3    29
0.4    39
0.5    49
0.6    59
0.7    69
0.8    79
0.9    89
dtype: int32