import random
aList = [20, 40, 80, 100, 120]
print ("choosing 3 random items from a list using random.sample() function")
sampled_list = random.sample(aList, 3)
print(sampled_list)
Here is what the above code is Doing:
1. We have a list of 5 items.
2. We are choosing 3 random items from the list.
3. We are printing the list of 3 random items.
@bot.event async def on_message(message): if message.content == “pong”: await message.channel.send(‘ping’) Here is what the above code is Doing: 1. When the bot sees a message that says “ping”, it responds with “pong”. 2. When the bot sees any other message, it does nothing. You can also use the `on_message` event to do things when the…
import numpy as np import pandas as pd df = pd.DataFrame({‘a’: [10,20],’b’:[100,200],’c’: [‘a’,’b’]}) df.loc[‘Column_Total’]= df.sum(numeric_only=True, axis=0) df.loc[:,’Row_Total’] = df.sum(numeric_only=True, axis=1) print(df) a b c Row_Total 0 10.0 100.0 a 110.0 1 20.0 200.0 b 220.0 Column_Total 30.0 300.0 NaN 330.0 Here is what the above code is Doing: 1. Create a DataFrame with three columns…
good, bad = [], [] for x in mylist: (bad, good)[x in goodvals].append(x) # good.append(x) if x in goodvals else bad.append(x) # for x in mylist: (good if isgood(x) else bad).append(x) # (good if x in goodvals else bad).append(x) Here is what the above code is Doing: 1. The expression (bad, good)[x in goodvals] is…
def split_list(a_list): half = len(a_list)//2 return a_list[:half], a_list[half:] A = [1,2,3,4,5,6] B, C = split_list(A) Here is what the above code is Doing: 1. The function split_list takes a list as an argument. 2. The variable half is assigned the value of the length of the list divided by 2. 3. The function returns the…
import numpy as np from sklearn.decomposition import PCA pca = PCA(n_components = 3) # Choose number of components pca.fit(X) # fit on X_train if train/test split applied print(pca.explained_variance_ratio_) Here is what the above code is Doing: 1. Creating a PCA object with 3 components 2. Fitting the PCA object on the training data 3. Printing…
image = pygame.image.load(“Enter Full Path Here”) Here is what the above code is Doing: 1. Importing the pygame library. 2. Creating a pygame window. 3. Creating a pygame clock. 4. Creating a pygame image. 5. Loading an image into the pygame image.