ai_lab02

# This is a sample Python script.

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import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.figure as fig

def zad1():
    arr = np.array([[2,3,5,1],
                   [3,5,7,2],
                   [5,7,1,3]])
    columnSum = arr.sum(0)
    rowSum = arr.sum(1)

    arr1 = np.array([1,2,3,4,5,6])

    # print(columnSum, rowSum)

    arr1_0_1 = ((arr-arr.min(0)) / (arr.max(0)-arr.min(0)))

    arr_csv = pd.read_csv('dane.csv', ',', header=None)
    nazwy_kolumn = list(arr_csv.columns)

    # print(arr1_0_1)
    # print(arr_csv[1][1])

    x = np.arange(0, 10, 0.1)
    y = np.sin(x)
    # plt.scatter(x, y)
    # plt.plot(x, y)
    # plt.xlabel('x')
    # plt.ylabel('y')
    # plt.show()

    fig, ax = plt.subplots(1,2,figsize=(10,5))
    # ax[0].plot(x,y)
    # ax[0].set_xlabel('x')
    # ax[0].set_ylabel('y')
    # ax[1].scatter(x,y)
    # ax[1].set_xlabel('x')
    # ax[1].set_ylabel('y')
    # fig.tight_layout()

    fig, ax = plt.subplots(2, 2, figsize = (10, 10))
    ax[0, 0].scatter(x, y)
    ax[0, 1].plot(x, y)
    ax[1, 0].hist(y)
    ax[1, 1].boxplot(y)

    plt.show()

zad1()