a guide to numpy and pandas

Spotless Stork answered on October 25, 2020 Popularity 4/10 Helpfulness 1/10

answer a guide to numpy and pandas

related a guide to numpy and pandas

Comment

>>> np.linspace(0, 5/3, 6)
array([0. , 0.33333333 , 0.66666667 , 1. , 1.33333333  1.66666667])

Popularity 4/10 Helpfulness 1/10 Language python

Source: cloudxlab.com

Tags: numpy pandas python

Link to this answer
Share Copy Link

Contributed on Oct 25 2020

Spotless Stork

0 Answers Avg Quality 2/10

Closely Related Answers

Comment

>>> a = np.array([1, 2, 3])
>>> type(a)
<type 'numpy.ndarray'>

>>> b = np.array((3, 4, 5))
>>> type(b)
<type 'numpy.ndarray'>

Popularity 5/10 Helpfulness 1/10 Language python

Source: cloudxlab.com

Tags: numpy python pandas

Link to this answer
Share Copy Link

Contributed on Oct 25 2020

Spotless Stork

0 Answers Avg Quality 2/10

Comment

X = pd.DataFrame(dict(age=[40., 50., 60.], 
                      sys_blood_pressure=[140.,150.,160.]))
m = X.to_records(index=False)
print repr(m)

Popularity 3/10 Helpfulness 1/10 Language python

Source: codefantasy.org

Tags: numpy python pandas

Link to this answer
Share Copy Link

Contributed on Mar 22 2022

Bewildered Bison

0 Answers Avg Quality 2/10

Continue with Google

By continuing, I agree that I have read and agree to Greppers's Terms of Service and Privacy Policy.