reading-notes

MatPlotLib

Source: MatPlotLib tutorial

Cheatsheet

Tools

• iPython - Interactive Python shell
• pyplot - Interface for matplotlib plotting library

Simple Plots

• Line color: plt.plot(X, C, color="blue")
• Line width: plt.plot(X, S, linewidth=2.5)
• Line style: plt.plot(X, S, linestyle="-")
• Spacing:
  • plt.xlim(X.min()*1.1, X.max()*1.1)
  • plt.ylim(C.min()*1.1, C.max()*1.1)
• Ticks:
  • plt.xticks( [1, 2, 3, 4, 5)
  • plt.yticks([1, 2, 3])
  • plt.set_xticklabels([])
  • plt.set_yticklabels([])
• Legend: plt.legend(loc='upper left', frameon=False)

Figures, Subplots, Ticks

• plt.figure(): Create a figure, optional params:
  • num: Number it
  • figsize: size in inches (w, h)
  • dpi: resolution
  • facecolor: background
  • edgecolor: edge
  • frameon: Draw frame or not
• plt.subplot(x, y, index): create a subplot
• Tick locator methods and tick formatters: custom ticks

Other Types of Plots

• Regular: Lines and/or markers
• Scatter: Scatter X versus Y
• Bar: Bar plot
• Contour plot: Contour lines and filled contours
• Imshow: Plot an image
• Quiver Plot: 2D field of arrows
• Pie chart: Pie of an array
• Grid: Ticks and grid
• Multiplot: Serveral splots at once
• Polar Axis: Plot using polar axis
• 3D Plots: 2D or 2D data
• Text: Draw any kind of text