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metody_eksploracji_danych [2016/10/17 14:24] pszwed [Kod Python] |
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| - | ====== Metody eksploracji danych ====== | ||
| - | ===== Laboratorium 1 ===== | ||
| - | |||
| - | | ||
| - | ==== Zbiory danych ==== | ||
| - | |||
| - | *[[http:// | ||
| - | *[[http:// | ||
| - | *[[http:// | ||
| - | *[[http:// | ||
| - | *[[http:// | ||
| - | *[[http:// | ||
| - | *[[http:// | ||
| - | *[[http:// | ||
| - | *[[http:// | ||
| - | *[[http:// | ||
| - | |||
| - | ==== Kod Python ==== | ||
| - | |||
| - | Poniżej zamieszczony kod może posłużyć do wizualizacji danych. | ||
| - | |||
| - | - Dane należy wprowadzić, | ||
| - | - Formułę funkcji regresji w wierszu '' | ||
| - | - Kod można uruchomić | ||
| - | * W IDE Spyder | ||
| - | * Uruchamiając lokalnie Jupyter Notebook i wprowadzając kod w przeglądarce | ||
| - | * Online: [[https:// | ||
| - | |||
| - | |||
| - | <code python> | ||
| - | %matplotlib notebook | ||
| - | |||
| - | import matplotlib.pyplot as plt | ||
| - | import numpy as np | ||
| - | from scipy import stats | ||
| - | from io import StringIO | ||
| - | |||
| - | data = """ | ||
| - | 0.246939, | ||
| - | 0.895519, | ||
| - | 0.971588, | ||
| - | 1.188316, | ||
| - | 1.741884, | ||
| - | 2.196002, | ||
| - | 2.637403, | ||
| - | 2.788188, | ||
| - | 3.50202, | ||
| - | """ | ||
| - | #enter data as a string | ||
| - | inp = StringIO(data) | ||
| - | x, y = np.loadtxt(inp, | ||
| - | |||
| - | plt.scatter(x, | ||
| - | |||
| - | |||
| - | #plot function | ||
| - | #fx - arguments | ||
| - | #fy - values, | ||
| - | #ftrue -function used to generate data | ||
| - | |||
| - | fx=np.linspace(-10, | ||
| - | fy=2.3702*fx+6.1973 | ||
| - | ftrue=2.37*fx+7 | ||
| - | plt.plot(fx, | ||
| - | plt.plot(fx, | ||
| - | |||
| - | plt.xlim(-10, | ||
| - | plt.grid(True) | ||
| - | plt.xlabel(' | ||
| - | plt.ylabel(' | ||
| - | |||
| - | r = stats.pearsonr(x, | ||
| - | plt.title(' | ||
| - | |||
| - | plt.show() | ||
| - | |||
| - | </ | ||
| - | |||
| - | === Spyder === | ||
| - | |||
| - | Aby wynik wyświetlił się w osobnym oknie... | ||
| - | |||
| - | {{: | ||
