Three Dots in Returned Numpy Data from Quandl

Question

I tried this code in Python below:

import quandl
data2 = quandl.get("EIA/PET_RWTC_D", returns="numpy")
print(data2)

then i received this as feedback:

may i know what does those "..." mean and where are my data between 1986 and 2019???

Answer 1

The dots represent information that is not shown in the screen. There are records between 1986 and 2019 that are not printed so that your whole screen doesn't overflow with data, much like a pandas.DataFrame, if you're familiar with it.

You can check that your data is in fact present in the array by examining the shape.

>>> data.shape
(8350,)

Slice the array to view data in any region.

>>> data[3300:3320]
rec.array([('1999-01-05T00:00:00.000000000', 12.04),
       ('1999-01-06T00:00:00.000000000', 12.84),
       ('1999-01-07T00:00:00.000000000', 12.99),
       ('1999-01-08T00:00:00.000000000', 13.06),
       ('1999-01-11T00:00:00.000000000', 13.43),
       ('1999-01-12T00:00:00.000000000', 12.91),
       ('1999-01-13T00:00:00.000000000', 12.33),
       ('1999-01-14T00:00:00.000000000', 12.23),
       ('1999-01-15T00:00:00.000000000', 12.21),
       ('1999-01-19T00:00:00.000000000', 12.13),
       ('1999-01-20T00:00:00.000000000', 11.82),
       ('1999-01-21T00:00:00.000000000', 12.45),
       ('1999-01-22T00:00:00.000000000', 12.62),
       ('1999-01-25T00:00:00.000000000', 12.41),
       ('1999-01-26T00:00:00.000000000', 12.16),
       ('1999-01-27T00:00:00.000000000', 12.4 ),
       ('1999-01-28T00:00:00.000000000', 12.52),
       ('1999-01-29T00:00:00.000000000', 12.81),
       ('1999-02-01T00:00:00.000000000', 12.36),
       ('1999-02-02T00:00:00.000000000', 12.21)],
      dtype=[('Date', '<M8[ns]'), ('Value', '<f8')])