Is there a range()
equivalent for floats in Python?
>>> range(0.5,5,1.5)
[0, 1, 2, 3, 4]
>>> range(0.5,5,0.5)
Traceback (most recent call last):
File "<pyshell#10>", line 1, in <module>
range(0.5,5,0.5)
ValueError: range() step argument must not be zero
Since the high-order bit of the mantissa is always 1, it is not stored in the number. This representation gives a range of approximately 3.4E-38 to 3.4E+38 for type float.
NumPy linspace function to generate float rangeof float numbers. It has the following syntax: # Syntax linspace(start, stop, num, endpoint) start => starting point of the range stop => ending point num => Number of values to generate, non-negative, default value is 50.
The range() function returns a sequence of numbers, starting from 0 by default, and increments by 1 (by default), and stops before a specified number.
You can either use:
[x / 10.0 for x in range(5, 50, 15)]
or use lambda / map:
map(lambda x: x/10.0, range(5, 50, 15))
def frange(x, y, jump):
while x < y:
yield x
x += jump
As the comments mention, this could produce unpredictable results like:
>>> list(frange(0, 100, 0.1))[-1]
99.9999999999986
To get the expected result, you can use one of the other answers in this question, or as @Tadhg mentioned, you can use decimal.Decimal
as the jump
argument. Make sure to initialize it with a string rather than a float.
>>> import decimal
>>> list(frange(0, 100, decimal.Decimal('0.1')))[-1]
Decimal('99.9')
Or even:
import decimal
def drange(x, y, jump):
while x < y:
yield float(x)
x += decimal.Decimal(jump)
And then:
>>> list(drange(0, 100, '0.1'))[-1]
99.9
[editor's not: if you only use positive jump
and integer start and stop (x
and y
) , this works fine. For a more general solution see here.]
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