train-test split code in pandas

train-test split code in pandas

from sklearn.model_selection import train_test_split X = df.drop([‘target’],axis=1).values # independant features y = df[‘target’].values # dependant variable # Choose your test size to split between training and testing sets: X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=42) Here is what the above code is Doing: 1. We’re creating a variable called X that contains all…

dreamworks logo

dreamworks logo

float p = findDreamsChances(); p = 0.0000000000000013 Here is what the above code is Doing: 1. It’s creating a variable called p and setting it equal to the value returned by the findDreamsChances function. 2. It’s printing out the value of p. 3. It’s setting p equal to 0.0000000000000013. The output of the code should…

python list of random float numbers

python list of random float numbers

# To create a list of random float numbers: import numpy random_float_array = numpy.random.uniform(75.5, 125.5, 2) # Output: # [107.50697835, 123.84889979] Here is what the above code is Doing: 1. We’re importing the numpy module. 2. We’re creating a list of random float numbers using the uniform() function. 3. We’re passing in the following parameters:…

add self role with discord bot python

add self role with discord bot python

@async def on_message(message): if message.content == “give me admin” role = discord.utils.get(server.roles, name=”Admin”) await client.add_roles(message.author.id, role) Here is what the above code is Doing: 1. When a message is sent, the bot checks if the message is “give me admin” 2. If it is, it gets the role with the name “Admin” 3. It then…

remove keys from array python

remove keys from array python

a_dict = {“color”: “blue”, “fruit”: “apple”, “pet”: “dog”} [value for key, value in a_dict.items()] >>> [‘blue’, ‘apple’, ‘dog’] Here is what the above code is Doing: 1. We create a dictionary with three key-value pairs. 2. We create a list comprehension that iterates through the key-value pairs in the dictionary. 3. We extract the value…

pandas shift all columns

pandas shift all columns

import pandas as pd info= pd.DataFrame({‘a_data’: [45, 28, 39, 32, 18], ‘b_data’: [26, 38, 41, 35, 45], ‘c_data’: [22, 19, 11, 25, 16]}) #shifting code info.shift(periods=2) info.shift(periods=2,axis=1,fill_value= 70) Here is what the above code is Doing: 1. The first shift() function shifts the data by 2 rows. 2. The second shift() function shifts the data…