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Jul 14, 2018 · f: Floating point, which means that the value that is going to be printed is a real number. .3 is for the number of decimals after the point. That means that the real value to be printed will have 3 digits after the point. For example: print('%.3f' % 3.14159) # Prints 3.142. print('%.2f' % 3.141592653589) # Prints 3.14.
Code sample
In [1]: print('Slope: %.3f' % 1.123)Slope: 1.123In [2]: print('Slope: %.3f' % 1.12345)Slope: 1.123In [3]: print('Slope: %.3f' % 1.1)...- What Are Python f-strings
- How to Write Python f-strings
- Displaying Variables with f-strings
- Evaluating Expressions with Python f-strings
- Accessing Dictionary Items with f-strings
- Conditionals in Python f-strings
- Formatting Values with Python f-strings
- Debugging with f-strings in Python
- Conclusion
Python f-strings (formatted string literals) were introduced in Python 3.6 via PEP 498. F-strings provide a means by which to embed expressions inside strings using simple, straightforward syntax. Because of this, f-strings are constants, but rather expressions which are evaluated at runtime.
You write Python f-strings by writing two parts: f (or F) and a string (either single, double, or triple quotes). So, an f-string can look like this: Where string is replaced by the string you want to use.
f-strings make it incredibly easy to insert variables into your strings. By prefacing your string with an f (or F), you can include variables by name inside curly braces ({}). Let’s take a look at an example: This returns: Check out some other Python tutorials on datagy, including our complete guide to styling Pandas and our comprehensive overview ...
A key advantage of Python f-strings is the ability to execute expressions at runtime. What this means, is that you aren’t restricted to only inserting variable names. Similar to the example above, place your code into the string and it will execute as you run your program. Let’s take a look at a basic example: This will return: What’s more, is that...
Being able to print out dictionary values within strings makes f-strings even more powerful. One important thing to note is that you need to be careful to not end your string by using the same type of quote. Let’s take a look at an example: This returns: Similarly, you can loop over a list of items and return from a list of dictionaries. Let’s give...
Python f-strings also allow you to evaluate conditional expressions, meaning the result returned is based on a condition. Let’s take a look at a quick, simple example: This returns: This can be very helpful when you’re outputting strings based on (for example) values and want the grammar to be accurate. Let’s explore this with another example: Say ...
It’s also possible to easily apply formatting to f-strings, including alignment of values and specifying number formats.
Beginning with Python 3.8, f-strings can also be used to self-document code using the = character. This is especially helpful when you find yourself typing print("variable = ", variable) frequently to aid in debugging. Let's try an example: This would return: This can be especially useful when you find yourself debugging by printing a lot of variab...
f-strings are immensely valuable tool to learn. In this post, you learned how to use f-strings, including placing expressions into them, using conditionals within them, formatting values, and using f-strings for easier debugging.
Mar 30, 2023 · Therefore, precision can be ensured in a float-type integer in the following manner: OUR_NUM= 3.14732. print("%.3f" %OUR_NUM) The output would be: 3.147. Therefore, the “%.3f” in python formats a float data type in such a way that only the 3 numbers after the decimal point is included in the output and the other numbers after that are ignored.
Oct 18, 2021 · I'm reading this textbook called "Practical Statistics for Data Scientists" and this :.3f keeps getting used in almost every f-string. What does :.3f mean? My guess is it has something to do with floating point numbers. Example: {house_lm_factor.intercept_:.3f}
May 18, 2023 · Convert a string to a number (int, float) in Python; Regular expressions with the re module in Python; Wrap and truncate a string with textwrap in Python; Reverse a list, string, tuple in Python (reverse, reversed) Convert binary, octal, decimal, and hexadecimal in Python; Uppercase and lowercase strings in Python (conversion and checking)
Defining a Dictionary. Dictionaries are Python’s implementation of a data structure that is more generally known as an associative array. A dictionary consists of a collection of key-value pairs. Each key-value pair maps the key to its associated value.
Apr 9, 2024 · Dictionaries in Python is a data structure, used to store values in key:value format. This makes it different from lists, tuples, and arrays as in a dictionary each key has an associated value. Note: As of Python version 3.7, dictionaries are ordered and can not contain duplicate keys. How to Create a Dictionary.
