How to set the default datatype as 'float32' for numpy & pandas?

My machine's RAM is 3G on Windows XP and 'float32' data's precision is enough for my current application (based on Pandas 0.10 + NumPy 1.6.2). So I want to reset the default floating datatype to 'float32' instead of 'float64' to reduce the memory usage. How to do that ? (I know I can explictly put dtype = 'float32' in functions, but i just want a global setting)

And is there any bad side-effect if I do so ? (calculation speed, compatible of interacting with other modules, future upgrading etc..)

asked Mar 28, 2013 at 5:24

bigbug

59.9k43 gold badges80 silver badges98 bronze badges

I don't think there will be, at least according to these questions. Interesting question though.

Andy Hayden
– Andy Hayden

2013-03-28 10:06:24 +00:00
Commented Mar 28, 2013 at 10:06
Follow this link to a related question that also solves your problem. Other related questions: -Python: Making numpy default to float32 -Floating point precision in Python array

Saullo G. P. Castro
– Saullo G. P. Castro

2013-05-02 10:59:22 +00:00
Commented May 2, 2013 at 10:59

Add a comment |

0

Start asking to get answers

Find the answer to your question by asking.

Ask question

Explore related questions

See similar questions with these tags.

Collectives™ on Stack Overflow

How to set the default datatype as 'float32' for numpy & pandas? [duplicate]

0

Linked

Hot Network Questions