Most frequent mpl snippets

Preamble¶

In [1]:

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt

# Some nice styling
plt.style.use("seaborn-v0_8")
mpl.rcParams.update({
    "font.family": "Times New Roman",
    "axes.titlesize": 18,
    "axes.labelsize": 14,
    "xtick.labelsize": 12,
    "ytick.labelsize": 12,
})

import numpy as np import matplotlib as mpl import matplotlib.pyplot as plt # Some nice styling plt.style.use("seaborn-v0_8") mpl.rcParams.update({ "font.family": "Times New Roman", "axes.titlesize": 18, "axes.labelsize": 14, "xtick.labelsize": 12, "ytick.labelsize": 12, })

In [2]:

x = np.arange(-4*np.pi, 4*np.pi + 0.01, 0.01)
y = x**3 * np.sin(x) * np.cos(x)

x_left, x_right, interval = -2*np.pi, 2*np.pi, np.deg2rad(90)
custom_xticks = np.arange(x_left, x_right + interval, interval)
custom_xticks_labels = np.int16(np.rint(np.degrees(custom_xticks)))

x = np.arange(-4*np.pi, 4*np.pi + 0.01, 0.01) y = x**3 * np.sin(x) * np.cos(x) x_left, x_right, interval = -2*np.pi, 2*np.pi, np.deg2rad(90) custom_xticks = np.arange(x_left, x_right + interval, interval) custom_xticks_labels = np.int16(np.rint(np.degrees(custom_xticks)))

Quick Plot: set the basic plotting elements all at once¶

To see what other parameters can be set. visit matplotlib.axes.Axes.set

In [3]:

fig_size = (8.5, 6)
fig, ax = plt.subplots(figsize=fig_size)

ax.plot(x, y)

ax.set(
    title= 'My Title',

    xlabel = '$\\leftarrow X \\rightarrow$',
    xlim = (x_left, x_right),
    xscale = 'linear', # or 'log', <function> etc.

    ylabel = '$\\leftarrow Y \\rightarrow$',
    ylim = (-100, 50),
)


fig.set_layout_engine('constrained')
# fig.savefig('myplot.png', dpi=600)

plt.show()

fig_size = (8.5, 6) fig, ax = plt.subplots(figsize=fig_size) ax.plot(x, y) ax.set( title= 'My Title', xlabel = '$\\leftarrow X \\rightarrow$', xlim = (x_left, x_right), xscale = 'linear', # or 'log', etc. ylabel = '$\\leftarrow Y \\rightarrow$', ylim = (-100, 50), ) fig.set_layout_engine('constrained') # fig.savefig('myplot.png', dpi=600) plt.show()

or use a dictionary with the valid key word arguments $\rightarrow$

ax_properties = {
    "title": "My title",
    "xlabel": "x",
    "ylabel": "y",
    # etc...
}
ax.set(**ax_properties)

Add rotation to tick labels¶

Stolen from StackOverflow

Rotating xtick labels wihtout custom ticks and labels¶

In [4]:

plt.plot(x, y)

# simplest
plt.xticks(rotation=45)

# or 
ax.tick_params(axis='x', labelrotation=45)

plt.plot(x, y) # simplest plt.xticks(rotation=45) # or ax.tick_params(axis='x', labelrotation=45)

Rotating xtick labels with custom ticks and labels¶

In [5]:

plt.plot(x, y)
ax  = plt.gca()

ax.set_xticks(custom_xticks, custom_xticks_labels, rotation=90)

plt.show()

plt.plot(x, y) ax = plt.gca() ax.set_xticks(custom_xticks, custom_xticks_labels, rotation=90) plt.show()