How to sum all the values in a dictionary?
The fastest way to sum all the values inside a dictionary is to use the combination of sum()
function and values()
method as below:
Here, my_dict
is your dictionary. Quick and efficient, just like a ninja!π±βπ€
Accommodating non-numeric data
When dealing with dictionaries having a diverse range of data types, not everything will be a number. Here's how you filter out non-numeric value types:
Version related differences in Python
If Python 2 were the Avengers, itervalues()
would be Iron Man. (Because Stark got us started off, remember?)
So for Python 2.x, remember to replace .values()
with .itervalues()
. Switching to Python 3.x? No need to worry, as Python 3.x is optimized and .values()
works efficiently.
Generator Expressions as secret weapons
When the requirement gets fancy and conditions are involved, mixin' up all together may become your new secret weapon! Check this:
This will double the sum provided the value > 10 matches ensuring you've a solution packed with punch!πͺ
Utility function, a friend in need
Ever wished a transformer that morphs as per the version of Python you use? Here's how you can implement that:
Visualising the invisible
Imagine that keys
are types of fruit and values
are their quantities. Now let's put them in a fruit basket(π§Ί)
like a dictionary.
Now, we combine all the fruits for a giant Fruit Party π₯³ which represents the sum of all values:
Together they form a fruit salad (π₯)
of 10
fruits.
A perfect sum-mary with a little bit of zing and zest of Python. πΉ
The art of handling diverse scenarios
Filtering values, the precise way
Filtering only the numeric values for the sum? There's a Pythonic way to do it:
Nested troubles, sorted!
Is your dictionary a bit too nested? Here's how you sum everything up even if there are nested lists:
Zero trouble with zeros
An empty dictionary or one with zero values will result in 0
, just the way it should:
Tuning performance insights
The simplicity of sum(d.values())
isn't just aesthetics, its high performance makes it a winner against loop-based competition:
- Python does a quick implementation using
sum()
. - Generator expressions leave memory footprints of a cat, very light compared to list comprehension.
- It directly calls Pythonβs built-in sum, which skips the loop queue.
Efficiency and clarity remain at the heart of Python code.
Was this article helpful?