How To Use applymap() In Pandas (Python)
↓ Code Available Below! ↓
This video shows how to apply functions to all the elements in a pandas data frame using .applymap(). The .applymap() only operates on data frames and runs a function on every single record in an elementwise fashion. Since data frames often contain variables of different types, .applymap() may throw an error when using functions that expect certain input types, but with homogenous data types, it provides a quick way of running functions on all values.
If you find this video useful, like, share and subscribe to support the channel!
► Subscribe: https://www.youtube.com/c/DataDaft?su...
Code used in this Python Code Clip:
import pandas as pd
data = pd.DataFrame({"power_level": [12000, 16000, 4000, 1500, 3000,
2000, 1600, 2000],
"uniform color": ["orange", "blue", "black", "orange",
"purple", "green", "orange", "orange"],
"species": ["saiyan","saiyan","saiyan","half saiyan",
"namak","human","human","human"]},
index = ["Goku","Vegeta", "Nappa","Gohan",
"Piccolo","Tien","Yamcha", "Krillin"])
data
Apply a function to ALL elements in a Data Frame
def str_len(x):
return(len(str(x)))
d2 = data.applymap(str_len)
d2
If all data is numeric, math operations are broadcast elementwise by default!
d2 ** 2
* Note: YouTube does not allow greater than or less than symbols in the text description, so the code above will not be exactly the same as the code shown in the video! I will use Unicode large ＜ and ＞ symbols in place of the standard sized ones. .
⭐ Kite is a free AI-powered coding assistant that integrates with popular editors and IDEs to give you smart code completions and docs while you’re typing. It is a cool application of machine learning that can also help you code faster! Check it out here: https://www.kite.com/get-kite/?utm_me...
