pandas: replace values in a column based on a condition in another dataframe if that value is in the second dataframe
I have two dataframes as follows,
I have two dataframes as follows,
I’m trying to make simple code that reads names and put it on a list, what i am intending to do is a series of functions to add names to the list, remove name, find name position etc. so it will have a lot of ifs, to avoid that i tried to use a dictionary to store the functions that will be called, but when i execute the program the functions inside the dictionary are running before i can input the number to execute it
I’m trying to change a .CSV row data. So for the new data I have a dict. I want to say python that if the keys in my dict are equal to the items row in my .csv then change the data in another row.
I am trying to write a script so when an IP address can’t be seen a message gets sent with a telegram letting me know which computer is offline
I’m trying to pass the list of object to HTML for looping to render the data fetch from MongoDB
I’m a beginner in python, I’m having trouble solving an exercise on graph, the exercise is as follows:
I want to get all class variable names of all sub-classes in my parent class (in python). While I managed to do that I’m not certain if there is a cleaner way to achieve that.
I have issues with the Numpy python library in inserting date to the array. Here is the code that I have a problem with:
I’m doing my own discord bot, through a lot of mistakes and errors I came to a big same error, and I have no idea what it is.
I’m trying to compare two dicts: