Skip to main content

Pandas DataFrame Columns Helper Functions

The Pandas DataFrame provides various column helper functions which is extremely useful for extracting valuable information from the column. Some of these are

unique → Provide unique elements from a column by removing duplicates. For example

mean → Provided the mean value of all the items in the column. For example

Using Column as Row Index

Most of the time, the given datasets already contains a row index. In those cases, we don’t need Pandas DataFrame to generate a separate row index.

Not only its just a redundant information but also takes unnecessary amount of memory.

Pandas DataFrame allows setting any existing column or set of columns as Row Index. Here is how can use the columns of the Pandas DataFrame created earlier(using dictionary my_dict )

df = pd.DataFrame(my_dict)df.set_index("name")

Image for post


Image for post


And we can set multiple columns as index by passing a list inside set_index(...) as

Image for post


Creating a Pandas DataFrame from a list 

What if we get a dataset without any columns?

Well, Pandas DataFrame don’t mind that and generates the DataFrame by implicitly adding Row Index as well as Column headers for us.

For example, if we create a DataFrame from the list below

my_list = [[1,2,3,4],
           [17,18,19,20]]df = pd.DataFrame(my_list)

It will look like this

Image for post
df = pd.DataFrame(my_list)

If we don’t want Pandas DataFrame to auto generate the Row Indexes and Column names, we can pass those in DataFrame function as

df = pd.DataFrame(
index = ["1->", "2->", "3->", "4->", "5->"], 
columns = ["A", "B", "C", "D"]

And here is how it will look like

Image for post
df with Row and Column Provided

It should be noted that we can also create a Pandas DataFrame from NumPy arrays as

np_arr = np.array([[1,2,3,4],
                   [17,18,19,20]])df = pd.DataFrame(np_arr)
Submitted by shiksha.dahiya on February 12, 2021

Shiksha is working as a Data Scientist at iVagus. She has expertise in Data Science and Machine Learning.


At ProgramsBuzz, you can learn, share and grow with millions of techie around the world from different domain like Data Science, Software Development, QA and Digital Marketing. You can ask doubt and get the answer for your queries from our experts.