Skill - Getting the column names of DataFrame
Skills Required
- Setup python development environment
- Basic Printing in Python
- Commenting in Python
- Managing Variables in python
- Pandas DataFrame Basics
Please make sure to have all the skills mentioned above to understand and execute the code mentioned below. Go through the above skills if necessary for reference or revision
Pandas is a python library.
DataFrame is a data structure provided by the pandas library.
Please go through Pandas DataFrame Basics to learn the basics of pandas DataFrame.
In this post we will learn how to get the column names of a DataFrame using the columns attribute
import pandas as pd
# create a dataframe
x = {
"Name": ["Harris", "Miss. Elizabeth"],
"Age": [22, 58],
"Sex": ["male", "female"]
}
df = pd.DataFrame(x)
# print the columns of DataFrame. This will return an index object
print(df.columns)
# Index([u'Age', u'Name', u'Sex'], dtype='object')
# print the list of columns of the DataFrame by passing it through 'list' function
print(list(df.columns))
# ['Age', 'Name', 'Sex']
Video
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Online Interpreter
Although we recommend to practice the above examples in Visual Studio Code, you can run these examples online at https://www.tutorialspoint.com/execute_python_online.php
References
- Official tutorial - https://pandas.pydata.org/pandas-docs/stable/getting_started/index.html
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