How to Create Dummy Variables in Python with Pandas: A Beginners Guide
In this short Python tutorial, you will get the answer to the question "how do you create a dummy variable in Python?". Here, you will use Pandas read_csv, head, unique, and get_dummies method. Note, the last one is what you will use to create dummy variables.
First, you will learn how to read your data from a csv file and have a quick look at the created Pandas dataframe. Second, you will learn how to create dummy variables in Python using pandas pd.get_dummies method:
1) Add prefix
2) Remove prefix
After that, you have used a categorical variable with to levels, you will learn how to create dummy variables of a categorical variable with 3 levels. After that, you will learn how to make dummy variables from more than one column and how to change the prefix and prefix separator of your new dummy variables.
» Make sure you subscribe to the channel if you haven't: http://bit.ly/SUB2EM
» Blog post about creating dummy variables in Python: https://bit.ly/DummyVariablePython
» Jupyter Notebook: https://bit.ly/ipynbDummies
» Link to the dataset used: http://vincentarelbundock.github.io/Rdatasets/csv/carData/Salaries.csv
» How to install Pandas: https://youtu.be/8Sipkd9vNKk
If you need to learn more about importing data from CSV files with Pandas:
» Blog post: http://bit.ly/pandas_read_csv
» YouTube Video: https://youtu.be/piCU_gxSF7I
Now, if you found this valuable, please do comment, like, subscribe, and share it on social media. It's much appreciated!
0:00 Introduction
1:35 Importing data from CSV
2:30 Get the levels of categorical variables
3:08 Example 1: Making a dummy variable (2 factors)
4:18 Example 2: Add the dummy variables to a dataframe
5:15 Example 2: Creating a new dataframe (with dummy vars)
5:33 Removing the prefix from the columns
6:01 Example 3: Categorical variable with 3 factors
6:48 Example 4: Dummy coding 2 columns (variables)
7:04 Example 5: From 3 columns (variables)
7:36 Changing the prefix and prefix separator
8:07 Outro & conclusion: why dummy coding?
Видео How to Create Dummy Variables in Python with Pandas: A Beginners Guide канала Erik Marsja
First, you will learn how to read your data from a csv file and have a quick look at the created Pandas dataframe. Second, you will learn how to create dummy variables in Python using pandas pd.get_dummies method:
1) Add prefix
2) Remove prefix
After that, you have used a categorical variable with to levels, you will learn how to create dummy variables of a categorical variable with 3 levels. After that, you will learn how to make dummy variables from more than one column and how to change the prefix and prefix separator of your new dummy variables.
» Make sure you subscribe to the channel if you haven't: http://bit.ly/SUB2EM
» Blog post about creating dummy variables in Python: https://bit.ly/DummyVariablePython
» Jupyter Notebook: https://bit.ly/ipynbDummies
» Link to the dataset used: http://vincentarelbundock.github.io/Rdatasets/csv/carData/Salaries.csv
» How to install Pandas: https://youtu.be/8Sipkd9vNKk
If you need to learn more about importing data from CSV files with Pandas:
» Blog post: http://bit.ly/pandas_read_csv
» YouTube Video: https://youtu.be/piCU_gxSF7I
Now, if you found this valuable, please do comment, like, subscribe, and share it on social media. It's much appreciated!
0:00 Introduction
1:35 Importing data from CSV
2:30 Get the levels of categorical variables
3:08 Example 1: Making a dummy variable (2 factors)
4:18 Example 2: Add the dummy variables to a dataframe
5:15 Example 2: Creating a new dataframe (with dummy vars)
5:33 Removing the prefix from the columns
6:01 Example 3: Categorical variable with 3 factors
6:48 Example 4: Dummy coding 2 columns (variables)
7:04 Example 5: From 3 columns (variables)
7:36 Changing the prefix and prefix separator
8:07 Outro & conclusion: why dummy coding?
Видео How to Create Dummy Variables in Python with Pandas: A Beginners Guide канала Erik Marsja
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
How to Carry out the Mann-Whitney U Test in Python9 Python Data Visualization Examples You Need to Learn in 2021How to use Python to do Paired Sample T-test - SciPy, Pandas, and PingouinHow to Install Statsmodels using Pip and Conda - Linux VersionHow to Rename Columns in Pandas DataFrameHow to get the Absolute Value in Python using abs() and PandasHow to Convert a Pandas Dataframe to a Numpy ArrayHow to convert a Python dictionary to a Pandas dataframe - tutorialHow to Save Seaborn Plots as Files (PNG, PDF, EPS, SVG, & TIFF) - Python Data Visualization Tutorial6 Ways to Get Pandas Column Names - Python TutorialHow to Plot a Histogram with Pandas in PythonPandas Groupby Tutorial Part I - Grouping by One ColumnData Visualization Tutorial: Raincloud Plots in PythonPandas Read CSV Tutorial: skiprows, usecols, missing data + moreHow to Read and Write Multiple Sheets to Pandas DataframeRepeated measures ANOVA using Python Statsmodels and R afexPandas Tutorial: Slicing & Indexing Using loc & ilocHow to Make a Scatter Plot in Python - Data Visualization TutorialRpy2 Tutorial: R plots in Jupyter NotebooksHow to Call R from Python - an Rpy2 Tutorial