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import matplotlib | |
import numpy as np | |
from math import * | |
import matplotlib.pyplot as plt | |
'''Funktsioon, mida peame lähendama: f(x) = ln(x)''' | |
def f(x): | |
output = [] | |
for elem in x: |
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time1 = time.perf_counter_ns() | |
#################################### | |
#################################### | |
#### #### | |
#### CODE BLOCK #### | |
#### #### | |
#################################### | |
#################################### | |
time2 = time.perf_counter_ns() | |
print = time2 - time1 |
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import numpy as np | |
import time | |
length = 10 | |
native_lst = [i for i in range(length)] | |
numpy_lst = np.array(native_lst) |
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import numpy as np | |
import pandas as pd | |
from pandas_datareader import data as wb | |
import matplotlib.pyplot as plt | |
from scipy.stats import norm | |
ticker = 'BA' | |
data = pd.DataFrame() | |
data[ticker] = wb.DataReader(ticker, data_source='yahoo', start='2015-1-1')['Adj Close'] | |
plt.figure(figsize=(10,6)) |
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import pyautogui as pag | |
import time | |
import copy | |
sudoku = [[0, 0, 0, 0, 0, 0, 0, 0, 0], | |
[0, 0, 0, 0, 0, 0, 0, 0, 0], | |
[0, 0, 0, 0, 0, 0, 0, 0, 0], | |
[0, 0, 0, 0, 0, 0, 0, 0, 0], | |
[0, 0, 0, 0, 0, 0, 0, 0, 0], | |
[0, 0, 0, 0, 0, 0, 0, 0, 0], |
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import pandas as pd | |
import numpy as np | |
import datetime as dt | |
import math | |
import warnings | |
warnings.filterwarnings("ignore") | |
prices = pd.read_csv("adjclose.csv", index_col="Date", parse_dates=True) | |
volumechanges = pd.read_csv("volume.csv", index_col="Date", parse_dates=True).pct_change()*100 |
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import pandas as pd | |
stocks = [] | |
f = open("symbols.txt", "r") | |
for line in f: | |
stocks.append(line.strip()) | |
f.close() | |
volumes = pd.read_csv("volume.csv") |
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MSFT | |
AAPL | |
AMZN | |
FB | |
JPM | |
GOOGL | |
GOOG | |
JNJ | |
V | |
PG |
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import imageio | |
import os | |
import matplotlib.pyplot as plt | |
lst1 = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] | |
lst2 = [5, 4, 3, 5, 6, 5, 8, 7, 8, 10, 5, 6] | |
lst3 = [9, 6, 6, 7, 6, 4, 6, 9, 11, 8, 7, 4] | |
def createfiles(): |
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import numpy as np | |
import matplotlib.pyplot as plt | |
def average(lst): | |
return sum(lst) / len(lst) | |
def findss(lst): | |
# finds the sum of squares | |
ss = 0 |
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