How can a panda manipulate data?
When i first heard the name 'pandas' i wondered "how can these chubby animals work with data?". okay...i know that you are thinking how dumb i was. So now, if in Python 'pandas' are not some chubby entities then what is it???
pandas is a Python library which helps us to work with data. As we know that a code library is a collection of modules or functionalities which can be used by any programmer. Python is one of the languages which provide a huge variety of code libraries. pandas is one of the most helpful and important feature of Python which has made data manipulation way much easier for the tech-people who has to work with bulky datasets.
Why pandas?
Fields like Machine Learning, Artificial Intelligence, Deep Learning, Natural Language Processing, Data Science require a huge amount of data. These data can either be raw or organized data. pandas help us to visually represent the data in a comprehensible format.
Some fundamentals of pandas
Using pandas we can present a data set in a tabular format where all of the data are presented in rows and columns with corresponding row and column headings. In pandas this tabular format of data is called a DataFrame. We can pass CSV files,excel files or even dictionaries as a pandas Dataframe.
We can import pandas just like other python libraries with the import keyword. Here i am inporting pandas as pd( the most convenient abbreviation for pandas).
When we pass a dictionary inside a pandas DataFrame the keys correspond to the column names and values are the column elements.
Now we are going to pass the dictionary named "dict" inside a DataFrame and store the DataFrame in a variable named "df" (you can give any name to the variable). And we'll print the DataFrame df to see the output.
Yeeeyyyy! We have successfully created our first DataFrame.
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