Python float to string (scientific notation), in specific format - python

This is a very specific question, but despite a large number of online resources I cannot seem to find a function which does what I want. Assume I have an arbitrary float, say for example "2.". I want to convert the float into the following format:
'2.000000E+000'
That is to say: 8 digits before the exponential, and 3 digits (four counting the sign) after the exponential. There are a few functions which almost (but not quite) yield the desired output. Using
"%.6e" %float(2)
yields the output
'2.000000e+00'
Which permits me to specify how many digits I have to before the exponential, but not after - it always gives me two digits. The function numpy.format_float_scientific, on the other hand:
numpy.format_float_scientific(2.0000000000, exp_digits=3,precision=6)
Out[30]: '2.e+000'
permits me to specify the number of digits after the exponential, but not before. I would like to do both. Do you know how I could achieve this?

You can try with unique to False for numpy:
numpy.format_float_scientific(2.0000000000, unique=False, exp_digits=3,precision=6)
Output:
'2.000000e+000'

Related

Why does my program only print the first few characters of e rather than the whole number?

e = str(2.7182818284590452353602874713526624977572470936999595749669676277240766303535475945713821785251664274)
print(e)
Output:
2.718281828459045
Screenshots: here and here.
Why does the code only print out the first few characters of e instead of the whole string?
A string str has characters, but a number (be it an int or a float) just has a value.
If you do this:
e_first_100 = '2.7182818284590452353602874713526624977572470936999595749669676277240766303535475945713821785251664274'
print(e_first_100)
You'll see all digits printed, because they are just characters in a string, it could have also been the first 100 characters from 'War and Peace' and you would not expect any of that to get lost either.
Since 'e' is not an integer value, you can't use int here, so you'll have to use float, but Python uses a finite number of bits to represent such a number, while there's an infinite number of real numbers. In fact there's an infinite number of values between any two real numbers. So a clever way has to be used to represent at least the ones you use most often, with a limited amount of precision.
You often don't notice the lack of precision, but try something like .1 + .1 + .1 == .3 in Python and you'll see that it can pop up in common situations.
Your computer already has a built-in way to represent these floating point numbers, using either 32 or 64 bits, although many languages (Python included) do offer additional ways of representing floats that aren't part of the way your computer works and allow a bit more precision. By default, Python uses these standard representations of real numbers.
So, if you then do this:
e1 = float(e_first_100)
print(e1)
e2 = 2.7182818284590452353602874713526624977572470936999595749669676277240766303535475945713821785251664274
print(e2)
Both result in a value that, when you print it, looks like:
2.718281828459045
Because that's the precision up to which the number is (more or less) accurately represented.
If you need to use e in a more precise manner, you can use Python's own representation:
from decimal import Decimal
e3 = Decimal(e_first_100)
print(e3)
That looks promising, but even Decimal only has limited precision, although it's better than standard floats:
print(e2 * 3)
print(e3 * Decimal(3))
The difference:
8.154845485377136
8.154845485377135706080862414
To expand on Grismar's answer, you don't see the data because the default string representation of floats cuts off at that point as going further than that wouldn't be very useful, but while the object is a float the data is still there.
To get a string with the data, you could provide a fixed precision to some larger amount of digits, for example
In [2]: e = format(
...: 2.7182818284590452353602874713526624977572470936999595749669676277240766303535475945713821785251664274,
...: ".50f",
...: )
In [3]: e
Out[3]: '2.71828182845904509079559829842764884233474731445312'
which gives us the first 50 digits, but this is of course not particularly useful with floats as the loss of precision picks up the further you go

0's in the beginning are being skipped & I'm not sure how to fix it

The output value is not including the 0's in the beginning, can someone help me fix the problem?
def bitwiseOR(P, Q):
return bin(P | Q)
bitwiseOR(0b01010111, 0b00111000)
OUTPUT: '0b1111111'
The leading zeroes are just for representation, so you can utilize Format Specification Mini-Language to display them as you wish:
Format string:
# Includes 0b prefix
0{length} Pad leading zeroes so total length is length
def bitwiseOR(P, Q, length=10):
return format(P | Q, f'#0{length}b')
x = bitwiseOR(0b01010111, 0b00111000)
# 0b01111111
print(x)
Leading zeros are a property of the string you produce, not the number. So, for example, if you're looking for a way to make the following two calls produce different results, that's not possible:1
bitwiseOR(0b01010111, 0b00111000)
bitwiseOR( 0b1010111, 0b111000)
However, if you can provide the number of digits separately, then you can do this using the format() function. It accepts a second argument which lets you customize how the number is printed out using the format spec. Based on that spec, you can print a number padded with zeros to a given width like this:
>>> format(127, '#010b')
'0b01111111'
Here the code consists of four pieces:
# means apply the 0b prefix at the beginning
0 means pad with leading zeros
10 means the total length of the resulting string should be at least 10 characters
b means to print the number in binary
You can tweak the format code to produce your desired string length, or even take the length from a variable.
1Well... technically there is a way to make Python re-read its own source code and possibly produce different results that way, but that's not useful in any real program, it's only useful if you want to learn something about how the Python interpreter works.

How can I convert a float in a str without losing significant figures?

I want to convert the number 0.054000 in a str, but when I write srt(0.054000) I get '0.054'. I need to get '0.054000'. How can I do it?
I have a data file with numbers as my example (0.054000). I need to count the digits of each number. I don't know how to read that number in a way that I count seven digits, for instance.
I think that Dan Patterson's method is the only way to do it reliably - python makes no differentiation between .0054 and .054000: e.g.
>>> .0054 is .0054000
True
Thus you will probably have to simply specify the number of digits you have in sig figs, either using his method or (str(.0054000) + "0"*number_of_sig_figs).
A format specifier starts with a colon and then may contain any of the terms shown
in brackets in the following (each of the terms is optional)
: [[fill]align] [sign] [#] [0] [width] [,] [.precision] [type]
A brief description of the [.precision] is provided below.
.precision: Maximum number of characters for strings (integer); number of digits of
precision for floats. For f, F, e, and E type specifiers this is the number
of digits to the right of the decimal point.
We can use this to specify the precision of our float value:
a=0.540000
print("{:06f}".format(a))
This gives the desired output:
0.540000
Hope this was helpful!

Float formatting in Python

While doing this exercise:
>>> amount = 24.325
>>> print("%7f" % amount)
>>> 24.325000
I didn't understand why instead of printing ' 24.325' (whith 1 space before the number) it just added three '0' and didn't move it towards the right at all.
So I thought that maybe, when you don't specify the precision, Python adds '0' until the number has at least 6 digits after the decimal point (if it doesn't already have them) and THAN takes in consideration the width I set (in this case, 7) and adds the needed spaces. In the exercise, with the extra '0's, it ends up having 9 digits, so it didn't add any. Is my hypothesis correct?
The question is, why 6 digits after the decimal point? Is it something that Python does by default?
Thank you.
The python docs exactly describe how the formatting operator % works.
In particular, you can have a minimum field with an a precision.
The former defines the minimum length of your resulting string, the latter gives the number of digits after the decimal point.
As the default precision is 6 for %f, you get what you get.

How do I preserve leading zeros in Python integers for string formatting

I have what I believe to be a simple question. I have the following code and the output is not what I expect:
import socket
import time
r=031508.78
h=373309.9
z=0
mes='"TSRA %s %s %s\r\n"'%(r,h,z)
print mes
My problem is that r prints as '31508.78' and I want '031508.78'. How I get preserve the leading zero?
The 0 in front of the number is not important for python, because numbers have no leading 0s. You can use:
print '%09.2f'%r
I prefer the new string format mini language. I find it more intuitive.
r = 31508.78
h = 373309.9
z = 0
print '"TSRA {0: 011.3f} {1: 011.3f} {2}"\r\n'.format(r, h, z)
print '{0: 011.3f}\n{1: 011.3f}\n{2: 011.3f}'.format(r, h, z)
{0: 011.3f} 0: indicates the first item (r). 011 tells the formatter that there will be 11 characters including the decimal point and a place holder for a negative sign. By placing a 0 in front the formatter will pad the space with leading zeros. Finally, .3f indicates the precision and a fixed number of places after the decimal point.
Yields:
"TSRA 031508.780 373309.900 0"
031508.780
373309.900
000000.000
I don't think there is any way to store a number with a leading zero in python.
This leaves you with two ways:
1) Make r a string i.e. r="031408.78"
I think this is the best method for you as you can do all the arithmetic you want to do (using the implicit typecasting of python) and see the number appended with a 0 wherever you use it.
2) If you simply want to print the number with leading zeros consider using this
print "%09.2f' % r #for this you need the length of the number
For Python, there is no difference in the following things:
31508.78
031508.78
0000000031508.78
31508.7800000000000
0000000000000031508.7800000000000
Those are all valid representations of the exact same number, which is canonically represented by 31508.78, which is essentially just a convention. Different representations are possible too, and actually, the number is represented in a way that’s described by the IEEE-754 standard.
So, when you want that leading zero, you have to tell Python explicitely to put it there because it simply doesn’t know about it. You just used one of many valid representations to specify that one number which default string representation does not include leading zeroes.
The best way to do this is using string formatting, which comes in two flavors. The old style flavor, using the % operator, and the newer str.format function:
>>> '%09.2f' % 31508.78
'031508.78'
>>> '{:09.2f}'.format(31508.78)
'031508.78'
Or, if you don’t actually want a number, you could also just specify the number as a string to begin with, which of course keeps the leading zero.

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