Evaluation of a data set with conditional selection of columns
I want to evaluate a data set with precipitation data. The data is available as a csv file, which I have read in with pandas as dataframe. From this then follows the following table:
conditional-statements
Conditional Replace Pandas
I have a DataFrame, and I want to replace the values in a particular column that exceed a value with zero. I had thought this was a way of achieving this:
Replace all elements of Python NumPy Array that are greater than some value
I have a 2D NumPy array and would like to replace all values in it greater than or equal to a threshold T with 255.0. To my knowledge, the most fundamental way would be:
How to do/workaround a conditional join in python Pandas?
I am trying to calculate time-based aggregations in Pandas based on date values stored in a separate tables.
“or” conditional in Python troubles
I’m learning Python and I’m having a little bit of a problem. Came up with this short script after seeing something similar in a course I’m taking. I’ve used “or” with “if” before with success (it doesn’t show much here). For some reason I can’t seem to get this working: test = raw_input("It's the flying … Read more
How to create a conditional task in Airflow
I would like to create a conditional task in Airflow as described in the schema below. The expected scenario is the following: