Generate random data based on existing data

is there a way in python to generate random data based on the distribution of the alreday existing data?

Here are the statistical parameters of my dataset:

Data
count   209.000000
mean    1.280144
std     0.374602
min     0.880000
25%     1.060000
50%     1.150000
75%     1.400000
max     4.140000

as it is no normal distribution it is not possible to do it with np.random.normal. Any Ideas?

Thank you.