In this tutorial, we will learn how to convert two columns from dataframe into a dictionary. As the picture below shows the goal is to use one of the column values as keys to dictionary and the second column values as values. Note that this is different from creating a dictionary with column name as […]
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How to Replace Multiple Column Values with Dictionary in Python
Sometimes you might like to change the content of Pandas dataframe, values in one or more columns (not the names of the columns) with some specific values. Pandas’ replace() function is a versatile function to replace the content of a Pandas data frame. First, we will see how to replace multiple column values in a […]
How to Convert a NumPy Array to Pandas Dataframe
NumPy and Pandas are two most useful python toolkits for data analysis. Sometimes you might want to convert a 2d-array in numpy to a dataframe. In this short tutorial, we will learn how to convert a numpy array into Pandas dataframe. Let us first create some numpy array. We will use NumPy’s random module to […]
Gaussian Mixture Models with Scikit-learn in Python
In simpler statistical models, we typically assume our data came from a single distribution. For example, to model height, we can assume that each observation came from a single Gaussian distribution with some mean and variance. However, often we might be in a scenario where that assumption is not valid and our data is more […]
How to Combine Year, Month, and Day Columns to single date in Pandas
In this post, we will see how to combine columns containing year, month, and day into a single column of datetime type. We can combine multiple columns into a single date column in multiple ways. First, we will see how can we combine year, month and day column into a column of type datetime, while […]