According to this answer: https://stackoverflow.com/a/25863597/12304000 We can use something like this in mysql to calculate the time diff between two cols: How can I achieve the same thing with pandasql? I tried these: but they throw an error that: Answer From the PandaSQL documentation: pandasql uses SQLite syntax. The link in your post is for MySQL. Here is a reference
Tag: pandasql
How to do query with multiple condition from 2 table?
I wanna pick cities from worldcity by these conditions: the population of the city exceeds the population of the most populous city in the Filipina. (Meaning: for example city X is the city in the Filipina with the most population. We want to list the cities with a population greater than city X), AND there is a city in the
Variables in SQLITE Python
I am working in Jupyter Notebooks using pandasql, which uses SQLight syntax. I am trying to select entries from a certain month, depending on a variable. I am planning to create a Python function that will change the value of the variable being used, but right now I am trying to get “Parameterized Queries” to work. My table has the