2nd Python Bootcamp IAG - Displaying Data

Transcript

1. Python Bootcamp Data Display with MatPlotLib PhD Bruno C. Quint bquint@ctio.noao.edu Resident Astronomer at SOAR Telescope https://github.com/b1quint/PythonBootcamp2017
2. Table of Contents Feb 14, 2017 Python Bootcamp – Data Display 2 • A simple plot • Types of plots • Different styles
3. A simple plot My First Example Feb 14, 2017 Python Bootcamp – Data Display 3 from matplotlib.pyplot import * x = [0, 1, 2, 3, 4] y = [4, 1, 0, 1, 4] plot(x, y) show()
4. A simple plot Save the Image! Feb 14, 2017 Python Bootcamp – Data Display 4 from matplotlib.pyplot import * x = [0, 1, 2, 3, 4] y = [4, 1, 0, 1, 4] plot(x, y) savefig(‘plot_001A.png’)
5. A simple plot Save the Image! Feb 14, 2017 Python Bootcamp – Data Display 5 from matplotlib.pyplot import * x = [0, 1, 2, 3, 4] y = [4, 1, 0, 1, 4] plot(x, y) savefig(‘plot_001A.png’, dpi=96)
6. A simple plot Let’s do it the “right” way Feb 14, 2017 Python Bootcamp – Data Display 6 import matplotlib.pyplot as plt x = [0, 1, 2, 3, 4] y = [4, 1, 0, 1, 4] plt.plot(x, y) plt.show()
7. A simple plot Let’s do it the “right” way Feb 14, 2017 Python Bootcamp – Data Display 7 import matplotlib.pyplot as plt import numpy as np x = np.arange(5) y = (x – 2) ** 2 plt.plot(x, y) plt.show()
8. Feb 14, 2017 Python Bootcamp – Data Display 8 x = np.arange(5) y = x ** 2 – 4 * x + 4 A simple plot Plot and plot again… plt.plot(x, y)
9. Feb 14, 2017 Python Bootcamp – Data Display 9 x = np.arange(5) y = x ** 2 – 4 * x + 4 A simple plot Plot and plot again… plt.plot(x, y) plt.plot(x, y)
10. Feb 14, 2017 Python Bootcamp – Data Display 10 x = np.arange(5) y = x ** 2 – 4 * x + 4 A simple plot Plot and plot again… plt.plot(x, y) plt.plot(x, y) plt.plot(x, y)
11. A simple plot Let’s do it the “right” way Feb 14, 2017 Python Bootcamp – Data Display 11 import matplotlib.pyplot as plt import numpy as np x = np.arange(-5, 5, 0.1) y = (x – 2) ** 2 plt.plot(x, y) plt.show()
12. A simple plot Let’s do it the “right” way Feb 14, 2017 Python Bootcamp – Data Display 12 import matplotlib.pyplot as plt import numpy as np x = np.linspace(-5, 5, 100) y = (x – 2) ** 2 plt.plot(x, y) plt.show()
13. Feb 14, 2017 Python Bootcamp – Data Display 13 A simple plot Plot with style def f(t): return (t - 2) ** 2
14. Feb 14, 2017 Python Bootcamp – Data Display 14 A simple plot Plot with style def f(t): return (t - 2) ** 2 t1 = np.arange(0.0, 5.0, 0.5) t2 = np.arange(0.0, 5.0, 0.02)
15. Feb 14, 2017 Python Bootcamp – Data Display 15 A simple plot Plot with style def f(t): return (t - 2) ** 2 t1 = np.arange(0.0, 5.0, 0.5) t2 = np.arange(0.0, 5.0, 0.02) plt.plot(t1, f(t1), 'ro’) plt.plot(t2, f(t2), 'k')
16. Feb 14, 2017 Python Bootcamp – Data Display 16 A simple plot Plot with style def f(t): return (t - 2) ** 2 t1 = np.arange(0.0, 5.0, 0.5) t2 = np.arange(0.0, 5.0, 0.02) plt.plot(t1, f(t1), 'ro', t2, f(t2), 'k')
17. Feb 14, 2017 Python Bootcamp – Data Display 17 A simple plot Plot with style def f(t): return (t - 2) ** 2 t1 = np.arange(0.0, 5.0, 0.5) t2 = np.arange(0.0, 5.0, 0.02) plt.plot(t1, f(t1), 'ro’, t2, f(t2), 'k')
18. Feb 14, 2017 Python Bootcamp – Data Display 18 A simple plot Plot with style def f(t): return (t - 2) ** 2 t1 = np.arange(0.0, 5.0, 0.5) t2 = np.arange(0.0, 5.0, 0.02) plt.plot(t1, f(t1), 'ro', t2, f(t2), 'k')
19. Feb 14, 2017 Python Bootcamp – Data Display 19 A simple plot Plot with style def f(t): return (t - 2) ** 2 t1 = np.arange(0.0, 5.0, 0.5) t2 = np.arange(0.0, 5.0, 0.02) plt.plot(t1, f(t1), 'ro', t2, f(t2), 'k') plt.xlabel(“t [s]”)
20. plt.xlabel(“t [s]”) Feb 14, 2017 Python Bootcamp – Data Display 20 A simple plot Plot with style def f(t): return (t - 2) ** 2 t1 = np.arange(0.0, 5.0, 0.5) t2 = np.arange(0.0, 5.0, 0.02) plt.plot(t1, f(t1), 'ro', t2, f(t2), 'k')
21. plt.xlabel(“t [s]”) Feb 14, 2017 Python Bootcamp – Data Display 21 A simple plot Plot with style def f(t): return (t - 2) ** 2 t1 = np.arange(0.0, 5.0, 0.5) t2 = np.arange(0.0, 5.0, 0.02) plt.plot(t1, f(t1), 'ro', t2, f(t2), 'k') plt.ylabel(u"f(t) = (t – 2)$^2$")
22. plt.xlabel(“t [s]”) Feb 14, 2017 Python Bootcamp – Data Display 22 A simple plot Plot with style def f(t): return (t - 2) ** 2 t1 = np.arange(0.0, 5.0, 0.5) t2 = np.arange(0.0, 5.0, 0.02) plt.plot(t1, f(t1), 'ro', t2, f(t2), 'k') plt.ylabel(u"f(t) = (t – 2)$^2$")
23. plt.xlabel(“t [s]”, fontsize=24) Feb 14, 2017 Python Bootcamp – Data Display 23 A simple plot Plot with style def f(t): return (t - 2) ** 2 t1 = np.arange(0.0, 5.0, 0.5) t2 = np.arange(0.0, 5.0, 0.02) plt.plot(t1, f(t1), 'ro', t2, f(t2), 'k') plt.ylabel(u"f(t) = (t – 2)$^2$”, fontsize=24)
24. plt.xlabel(“t [s]”, fontsize=24) Feb 14, 2017 Python Bootcamp – Data Display 24 A simple plot Plot with style def f(t): return (t - 2) ** 2 t1 = np.arange(0.0, 5.0, 0.5) t2 = np.arange(0.0, 5.0, 0.02) plt.plot(t1, f(t1), 'ro', t2, f(t2), 'k') plt.ylabel(u"f(t) = (t – 2)$^2$”, fontsize=24)
25. plt.xlabel(“t [s]”, fontsize=24) Feb 14, 2017 Python Bootcamp – Data Display 25 A simple plot Plot with style def f(t): return (t - 2) ** 2 t1 = np.arange(0.0, 5.0, 0.5) t2 = np.arange(0.0, 5.0, 0.02) plt.plot(t1, f(t1), 'ro', t2, f(t2), 'k') plt.ylabel(u"f(t) = (t – 2)$^2$”, fontsize=24) plt.xticks(fontsize=18)
26. plt.xlabel(“t [s]”, fontsize=24) Feb 14, 2017 Python Bootcamp – Data Display 26 A simple plot Plot with style def f(t): return (t - 2) ** 2 t1 = np.arange(0.0, 5.0, 0.5) t2 = np.arange(0.0, 5.0, 0.02) plt.plot(t1, f(t1), 'ro', t2, f(t2), 'k') plt.ylabel(u"f(t) = (t – 2)$^2$”, fontsize=24)
27. Feb 14, 2017 Python Bootcamp – Data Display 27 A simple plot Plot with style >>> import matplotlib as mpl >>> print mpl.rcParams['font.size'] 10 >>> mpl.rcParams['font.size'] = 18 >>> plt.plot(t1, f(t1), 'ro') >>> plt.plot(t2, f(t2), 'k') >>> plt.xlabel('t [s]') >>> plt.ylabel(u’f(t) = (t – 2)$^s$’)
28. Feb 14, 2017 Python Bootcamp – Data Display 28 A simple plot Plot with style >>> import matplotlib as mpl >>> print mpl.rcParams['font.size'] 10 >>> mpl.rcParams['font.size'] = 18 >>> plt.plot(t1, f(t1), 'ro') >>> plt.plot(t2, f(t2), 'k') >>> plt.xlabel('t [s]') >>> plt.ylabel(u’f(t) = (t – 2)$^s$’)
29. Feb 14, 2017 Python Bootcamp – Data Display 29 A simple plot Plot with style >>> plt.title(“A simple plot”)
30. Feb 14, 2017 Python Bootcamp – Data Display 30 A simple plot Plot with style >>> plt.title(“A simple plot”)
31. Feb 14, 2017 Python Bootcamp – Data Display 31 A simple plot Plot with style >>> plt.grid()
32. Feb 14, 2017 Python Bootcamp – Data Display 32 A simple plot Plot with style >>> plt.grid()
33. Feb 14, 2017 Python Bootcamp – Data Display 33 A simple plot Plot with style >>> plt.plot(t1, f(t1), 'ro', label="Points") >>> plt.plot(t2, f(t2), 'k', label="Line") >>> plt.legend()
34. Feb 14, 2017 Python Bootcamp – Data Display 34 A simple plot Plot with style >>> plt.plot(t1, f(t1), 'ro', label="Points") >>> plt.plot(t2, f(t2), 'k', label="Line") >>> plt.legend()
35. Feb 14, 2017 Python Bootcamp – Data Display 35 A simple plot Plot with style >>> plt.plot(t1, f(t1), 'ro', label="Points") >>> plt.plot(t2, f(t2), 'k', label="Line") >>> plt.legend()
36. Feb 14, 2017 Python Bootcamp – Data Display 36 A simple plot Plot with style >>> plt.tight_layout()
37. Feb 14, 2017 Python Bootcamp – Data Display 37 A simple plot Plot with style >>> plt.tight_layout()
38. Feb 14, 2017 Python Bootcamp – Data Display 38 A good practice x = np.arange(5) - 2 y = x ** 2 fig = plt.figure() ax = fig.add_subplot(111) ax.plot(x, y, ‘o’) ax.set_xlim(-3, 3) ax.set_xlim(-1, 5) plt.show()
39. Feb 14, 2017 Python Bootcamp – Data Display 39 Some advanced MatPlotLib x = np.arange(5) - 2 y = x ** 2 fig = plt.figure() ax = fig.add_subplot(111) ax.plot(x, y, ‘o’) ax.set_xlim(-3, 3) ax.set_xlim(-1, 5) plt.show()
40. Feb 14, 2017 Python Bootcamp – Data Display 40 Some advanced MatPlotLib x = np.arange(5) - 2 y = x ** 2 fig = plt.figure() ax = fig.add_subplot(111) ax.plot(x, y, ‘o’) ax.set_xlim(-3, 3) ax.set_xlim(-1, 5) plt.show()
41. Feb 14, 2017 Python Bootcamp – Data Display 41 Types of plots Scatter Plot Histogram Errorbar Plots Multiple Axis
42. Feb 14, 2017 Python Bootcamp – Data Display 42 Types of plots Pie Plots Polar Plots Display Images Stream Plots
43. Feb 14, 2017 Python Bootcamp – Data Display 43 Types of plots Plots 3D Contour Plots
44. Feb 14, 2017 Python Bootcamp – Data Display 44 Different Styles Default
45. Feb 14, 2017 Python Bootcamp – Data Display 45 Different Styles bmh
46. Feb 14, 2017 Python Bootcamp – Data Display 46 Different Styles ggplot
47. Feb 14, 2017 Python Bootcamp – Data Display 47 Different Styles grayscale
48. Feb 14, 2017 Python Bootcamp – Data Display 48 Different Styles seaborn-ticks
49. Feb 14, 2017 Python Bootcamp – Data Display 49 Different Styles seaborn-colorblind
50. Feb 14, 2017 Python Bootcamp – Data Display 50 Colormaps jet
51. Feb 14, 2017 Python Bootcamp – Data Display 51 Colormaps grayscale
52. Feb 14, 2017 Python Bootcamp – Data Display 52 Colormaps cubehelix
53. Feb 14, 2017 Python Bootcamp – Data Display 53 Colormaps viridis
54. Feb 14, 2017 Python Bootcamp – Data Display 54 Colormaps RdYlBu
55. Questions?