I am rehearsing to improve my skills on developing a game, using a reinforcement learning tutorial, but then I run into trouble making the np.split performing correctly (i.e. not resulting in an equal division). The code below shows the training session, while defining the parameters of the environment in another py file. The following line ..
If I have a variable with the string ‘variable 1’ attached to it for instance, how would I split this into two variables: variable = ‘variable’ Number = ‘1’ When answering the question I am open to any ideas that would get to the above outcome. I am currently learning python so please explain things ..
I need to break down a string into 3 chunks, (Example: ABC123DEF would end up as X=ABC Y=123 Z=DEF) and need some assistance in getting the alphabetical parts to not be combined into X=ABCDEF as apposed to separate items. Source: Python..
For the sake of practicing how to become more fluent using dictionaries, I trying to write a program that reads the chemical composition of the lunar atmosphere and assign the elements and their estimated composition as a key-value pair like this "NEON 20":40000 The data file looks like this Estimated Composition (night, particles per cubic ..
I was scraping site and want extract the quantity and quantity type, The quantity and quantity type is not given separately it is given with the title of the products since the title is not following any kind of pattern i can’t figure out a way to extract the quantity and quantity type Here is ..
dataset, info = tfds.load(‘oxford_iiit_pet:3.*.*’, with_info=True) train_images = dataset[‘train’] test_images = dataset[‘test’] train_batches = ( train_images .cache() .shuffle(BUFFER_SIZE) .batch(BATCH_SIZE) .prefetch(buffer_size=tf.data.AUTOTUNE)) test_batches = test_images.batch(BATCH_SIZE) Now I would like to reduce the test_images size to 100 images. I am expecting some code like: test_images = test_images But this would give an error saying: ‘ParallelMapDataset’ object is not subscriptable ..
I have a list of localizations but some of them won’t work to get gps coordinates through an API, and I’ve found that it’s only the ones with a "/" in them. I figured after trying on a single row that I need to remove the "/" and all characters before for it to work, ..
Let’s say I have a list of concatenated firstname + lastname combinations like: ["samsmith","sallyfrank","jamesandrews"]. I also have lists possible_firstnames, and possible_lastnames. If I want to split those full name strings based on values that appear in possible_firstnames and possible_lastnames, what is the best way of doing so? My initial strategy was to compare characters between ..
We have recorded the height values from various students, but the students have written the values in different format like 5’11" and some have written 5.67. We are trying to process this using split (".") we could able to split only values in decimals and value of this kind 5’11" is not splitting. df1[‘Height’]=df1[‘Height’].str.split(".") out:[5, ..
I want to split a long column of a dataframe (time series) and split the values into separate columns as shown below. I wonder if col.stack is an option here? Its a really long and repetitive dataframe. I want the column values to represented into multiple columns when its start repeating the time stamp. My ..