In the posts in this category you will find Python scripts. Python is said to be one of the easiest programming language to learn. Learning one language will also make it easier to learn another, much more advanced, one. As a Bachelor student in the cognitive science programme I got to take Python courses. However, it was not before I started my Ph.D years that I realized how much use I had because I knew some programming.
For a psychology researcher Python might be ideal since it is relatively easy to learn and there is a huge Python community to get help from. How to build experiments using free and open-source tools such as PsychoPy, OpenSesame, Expyriment, and PyEPL is, for instance, something you could find in this category.
In Pandas, you can convert a column (string/object or integer type) to datetime using the to_datetime() and astype() methods. Furthermore, you can also specify the data type (e.g., datetime) when reading your data from an external source, such as CSV or Excel. In this Pandas tutorial, we will learn how to convert a column, containing […]
Pandas Convert Column to datetime – object/string, integer, CSV & Excel Read More »
In this post, you will learn how to convert a NumPy array to a Pandas dataframe. To be specific, you will learn about the syntax of the DataFrame class, how to use the most important parameters to set the column names among other things.
How to Convert a NumPy Array to Pandas Dataframe: 3 Examples Read More »
In this short Pandas tutorial, you will learn how to make column index in a dataframe. Standardly, when creating a dataframe, whether from a dictionary or by reading a file (e.g., reading a CSV file, or opening an Excel file) an index column is created. For this reason, we need to either set the specific
How to Make a Column Index in Pandas Dataframe – with Examples Read More »
In this post you will learn three ways to carry out a two sample t-test in Python using scipy, pingouin, and statsmodels. Furthermore, you will learn how to interpret the results as well as report your findings.
How to Perform a Two-Sample T-test with Python: 3 Different Methods Read More »
Learn all you need to know about adding new columns to Pandas dataframe: assigning, using the insert, and assign() method.
Adding New Columns to a Dataframe in Pandas (with Examples) Read More »
In this tutorial, you will learn how to add empty columns in Pandas dataframe. First, the post covers simple assigning. Second, you will learn how to use the assign() method, and, lastly, you will learn how to use the insert() method..
How to Add Empty Columns to Dataframe with Pandas Read More »
Here you will learn how to covnert JSON to Excel with Python and Pandas.
How to Convert JSON to Excel in Python with Pandas Read More »
Python is one of the world’s most popular programming languages. Specifically, Python for finance is arguably the world’s most popular language-application pair. This is because of the robust ecosystem of packages and libraries that makes it easy for developers to build robust financial applications. In this tutorial, you will learn how to import historical stock
How to Import Historical Stock Prices Into A Python Script Using the IEX Cloud API Read More »
In this Python data visualization tutorial, we will learn how to create line plots with Seaborn. First, we’ll start with the simplest example (with one line), and then we’ll look at how to change the look of the graphs and how to plot multiple lines, among other things.
Seaborn Line Plots: A Detailed Guide with Examples (Multiple Lines) Read More »
In this post, we will calculate a correlation matrix in Python with NumPy and Pandas. Now, there will be several Python correlation matrix examples in this tutorial. First, we will read data from a CSV file so we can simply have a look at the numpy.corrcoef and Pandas DataFrame.corr methods. Now, building a correlation table
Create a Correlation Matrix in Python with NumPy and Pandas Read More »