pandas_profiling.mplstyle 1.3 KB

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  1. ## Credits for this style go to the ggplot and seaborn packages.
  2. ## We copied the style file to remove dependencies on the Seaborn package.
  3. ## Check it out, it's an awesome library for plotting!
  4. patch.facecolor: 348ABD # blue
  5. patch.edgecolor: EEEEEE
  6. patch.antialiased: True
  7. font.size: 10.0
  8. figure.edgecolor: 0.50
  9. # Seaborn common parameters
  10. # .15 = dark_gray
  11. # .8 = light_gray
  12. figure.facecolor: white
  13. text.color: .15
  14. axes.labelcolor: .15
  15. legend.frameon: False
  16. legend.numpoints: 1
  17. legend.scatterpoints: 1
  18. xtick.direction: out
  19. ytick.direction: out
  20. xtick.color: .15
  21. ytick.color: .15
  22. axes.axisbelow: True
  23. image.cmap: Greys
  24. font.family: sans-serif
  25. font.sans-serif: Arial, Liberation Sans, Bitstream Vera Sans, sans-serif
  26. grid.linestyle: -
  27. lines.solid_capstyle: round
  28. # Seaborn darkgrid parameters
  29. axes.grid: True
  30. axes.facecolor: EAEAF2
  31. axes.edgecolor: white
  32. axes.linewidth: 0
  33. grid.color: white
  34. # Seaborn notebook context
  35. figure.figsize: 8.0, 5.5
  36. axes.labelsize: 11
  37. axes.titlesize: 12
  38. xtick.labelsize: 10
  39. ytick.labelsize: 10
  40. legend.fontsize: 10
  41. grid.linewidth: 1
  42. lines.linewidth: 1.75
  43. patch.linewidth: .3
  44. lines.markersize: 7
  45. lines.markeredgewidth: 0
  46. xtick.major.width: 1
  47. ytick.major.width: 1
  48. xtick.minor.width: .5
  49. ytick.minor.width: .5
  50. xtick.major.pad: 7
  51. ytick.major.pad: 7