Native and external processing tools
- Compare: Graphing tool comparison - Compare native and external calculation and drawing engines like PGF, MatPlotLib, PyX for visualising data
Modify spines of the x or y axis
- Hide unwanted spines, see 1.2, 1.3
- Move spines to origin , see 1.3
- Add arrow tips to the top and right end of the spines
- Physical Review Journals - Axis Labels and Scales on Graphs - H-18
- graphics - Are there any guidelines for labeling axes in plots/graphs? - Academia Stack Exchange
- How to Label Axes and Units in Data Visualizations
- See source code examples: Spines - Place axis spines of plots
Add legend
- Show legend at best determined location inside data, see 2.1
- Position legend outside data, see 2.2
- Position legend entries horizontally or in a grid, see 2.2
- Annotate the lines directly within the data, see 2.3
- See source code examples: Function legend - Show formulas for multiple functions
Differentiate functions with color or line style
See source code examples: Cycles - Differentiate data set with colors or line style
Text
- Annotate - Write text on the plot
annotate interval Multiline titles: Wrap overlong title
def wrap_title(axes):
import textwrap as tw
long_title = axes.get_title()
axes.set_title(tw.fill(long_title, 20))
Terminology
Explicit Axes through Figure fig , Axes ax
Implicit Axes through PyPlot plt
- figure: entire canvas
- axes: subplot
- spines: connecting lines between ticks
- savefig.bbox: add tight padding around figure to prevent cropped legends
- constrained_layout: Place elements next to each other instead of overlaying
- titlesize 10: default fontsize for latex figures, allows longer titles
- grid linesstyle: less visual dominant that solid lines, to keep focus on function line
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams.update({'savefig.transparent':True, 'savefig.bbox':'tight',
'figure.constrained_layout.use':True, 'svg.fonttype':'none',
'axes.titlesize': 10, 'axes.grid':True, 'grid.linestyle':':'})
plt.rc('axes.spines', left=False, top=False, right=False, bottom=False)
def plot_example_function(axes):
x = np.linspace(0, 2.5, 100)
axes.set_xlabel("x")
axes.plot(x, np.cos(np.pi*x)*np.exp(-x),
label=r"$f(x) = \dfrac{\cos(\pi x)}{e^x}$")
axes.legend()
fig, ax = plt.subplots(figsize=(6,2.2))
plot_example_function(ax)
# plt.savefig(@vault_path + '/attachments/plot .svg')
plt.show()Dufte
- Source code examples: dufte plots
Size
- Size of plots
Legend
Color gradients
Layout multiple subfigures
Collection for note preview
Plot collection - Collage example plots for note preview
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