R summary() equivalent in numpy

Question

Is there an equivalent of R's summary() function in numpy?

numpy has std, mean, average functions separately, but does it have a function that sums up everything, like summary does in R?

If found this question which relates to pandas and this article with R-to-numpy equivalents, but it doesn't have what I seek for.

Answer 1

1. Load Pandas in console and load csv data file

import pandas as pd  data = pd.read_csv("data.csv", sep = ",") 

2. Examine first few rows of data

data.head()  

3. Calculate summary statistics

summary = data.describe() 

4. Transpose statistics to get similar format as R summary() function

summary = summary.transpose() 

5. Visualize summary statistics in console

summary.head()