Jupyter notebooks are an amazing tool for evaluating and exploring data. I have been using them as an integral part of my day to day analysis for several years and reach for them almost any time I need to do data analysis or exploration. Despite how much I like using python in Jupyter n...
In more complex cases, we could pass a user-defined function (UDF) instead of the data frame. This function is supposed to "know" where to load data from by returning a pandas data. For example, it could load data from a csv file. More info: Table operations Defining a calculate colum...
This time I want to know how to load a CSV file into a Pandas DataFrame and then set the date field as the dataframe’s index:Pretty good response that is close to the result returned by ChatGPT. Remember, all these while your questions never leave the computer....
# From my question, I have replaced the commented out line of code with everything below that ...
Prostois a Python data processing toolkit to (programmatically or usingColumn-SQL) author and execute complex data processing workflows. Conceptually, it is an alternative to purelyset-orientedapproaches to data processing like map-reduce, relational algebra, SQL or data-frame-based tools likepandas....
Alternative splicing (AS) is an important aspect of gene regulation. Nevertheless, its role in molecular processes and pathobiology is far from understood. A roadblock is that tools for the functional analysis of AS-set events are lacking. To mitigate th
In this strategy, 80% of the portfolio size is allocated to the top 20% of stocks based on the HQM (High-Quality Momentum) Score, and the remaining 20% of the portfolio size is allocated to the rest of the stocks. The code iterates through the stocks in hqm_dataframe and calculates...