def numberToBase(n, b):
if n == 0:
return [0]
digits = []
while n:
digits.append(int(n % b))
n //= b
return digits[::-1]
Here is what the above code is Doing:
1. If n is 0, return [0]
2. If n is not 0, create an empty list called digits
3. While n is not 0, append the remainder of n divided by b to the list digits
4. Divide n by b
5. Return the list digits in reverse order
#We calculate and plot the cumulative return of a given dataframe called data r = data.pct_change() r_plus_one = r.add(1) cumulative_return = r_plus_one.cumprod().sub(1) cumulative_return.mul(100).plot() plt.ylabel(‘Percent’) plt.legend([‘Cumulative Return’]) plt.show() Here is what the above code is Doing: 1. We calculate the percent change of the dataframe data. 2. We add 1 to the percent change. 3. We…
{% for i in range %} … {% endfor %} Here is what the above code is Doing: 1. The for loop iterates over the range object. 2. The range object is created by calling the range function with the arguments 0 and 5. 3. The range function returns a range object, which is an…
import numpy as np import pandas as pd def train_validate_test_split(df, train_percent=.6, validate_percent=.2, seed=None): np.random.seed(seed) perm = np.random.permutation(df.index) m = len(df.index) train_end = int(train_percent * m) validate_end = int(validate_percent * m) + train_end train = df.iloc[perm[:train_end]] validate = df.iloc[perm[train_end:validate_end]] test = df.iloc[perm[validate_end:]] return train, validate, test Here is what the above code is Doing: 1. We…
[row for index, row in df.iterrows()] Here is what the above code is Doing: 1. We’re iterating through each row in the dataframe. 2. We’re creating a list of dictionaries, where each dictionary represents a row in the dataframe. 3. We’re adding each dictionary to the list. 4. We’re returning the list.
import numpy as np a=np.array(([1,0]*4+[0,1]*4)*4).reshape((8,8)) print(a) # [[1 0 1 0 1 0 1 0] [0 1 0 1 0 1 0 1] [1 0 1 0 1 0 1 0] [0 1 0 1 0 1 0 1] [1 0 1 0 1 0 1 0] [0 1 0 1 0 1 0 1]…
f = open(‘file.txt’, ‘r+’) f.truncate(0) # need ‘0’ when using r+ Here is what the above code is Doing: 1. Opening the file in read/write mode. 2. Seeking to the beginning of the file. 3. Truncating the file to zero bytes.