How to transfer numbers in a panda series to an integer or float?

Question

I am new to python and jupyter notebook.

I want to tansfer(or extract) numbers in a panda series.

for example I have a panda series x

x=pd.Series(15)
print(x)
type(x)

0    15
dtype: int64
pandas.core.series.Series

and I want only the number 15 as an integer

x=15
print(x)
type(x)

15
int

how to transfer the panda series to a single number?

If you only have _one_ item, use `.item()` – rafaelc Apr 15 '19 at 20:07 — rafaelc, Apr 15 '19 at 20:07

score 2 · Accepted Answer · answered Apr 15 '19 at 20:03

2

If you only want to print the numbers of the series, then you can do:

x = pd.Series(15)
print(x.values)
print(x.dtype)

The output is

[15]
int64

answered Apr 15 '19 at 20:03

vb_rises

thanks, thats helpful. And what should I do if I just want part value of the series? for example x = pd.Series([15,17]) and I want only the number 15? – Liming Zhu Apr 15 '19 at 20:21
you can do print(x.values[0]) to only get 15. – vb_rises Apr 15 '19 at 20:31

score 1 · Answer 2 · answered Apr 15 '19 at 20:05

1

Use .values property:

x=[3,5,7]
s=pd.Series(x)
s.values

Out[]: array([3, 5, 7], dtype=int64)

It will return values of the Series as numpy array.

answered Apr 15 '19 at 20:05

igrinis

2 Answers2