def t1():
scatter(grid=True,
grid_lines='-.',
cmap='magma',
x_tick_number=5,
color_bar=True,
show=True)
def scattr():
scatter(grid=True,
grid_lines='-.',
cmap='magma',
x_tick_number=5,
plot_label="Graph",
legend=True,
color_bar=True,
show=True)
def t2():
x = np.linspace(0, 10, 1000)
y = np.sinh(x)
scatter(x=x,
y=y,
color="green",
plot_label="Green bubbles",
legend=True,
legend_loc=(0.5, 0.5),
resize_axes=True,
show=True)
def f_path(self):
fig = figure((12, 4))
scatter(x=self.x,
y=self.y,
plot_label="Reference points",
marker="x",
point_size=30,
color="#7aa9ff",
zorder=0,
resize_axes=False)
plot_signal(
x=self.rx,
y=self.path,
color="darkorange",
plot_label="Path",
# Axes
x_label="x [m]",
y_label="y [m]",
# Ticks
tick_number=10,
# Bounds
x_bounds=[0, 54],
y_bounds=[-2, 16])
import matplotlib.pyplot as plt
# Contour plots
x_0 = np.arange(0, 9, self.dx)
y_0 = np.zeros(len(x_0))
x_c60 = np.arange(9, self.X_60, self.dx)
y_c60 = np.linspace(0, self.Y_60, len(x_c60))
x_60 = np.arange(self.X_60, self.X_60 + 12, self.dx)
y_60 = self.Y_60 * np.ones(len(x_60))
x_90 = np.arange(self.X_60 + 12, self.x_90[-1], self.dx)
y_90 = np.zeros(len(x_90))
x_ref = np.concatenate((x_0, x_c60, x_60, x_90))
y_ref = np.concatenate((y_0, y_c60, y_60, y_90))
plt.plot(x_ref,
y_ref,
label="Reference",
linewidth=1,
linestyle="--",
zorder=0)
# Other
plt.gca().set_facecolor('#ffeed9')
fig.patch.set_facecolor('#ffeed9')
plt.legend(prop={'family': 'monospace'})
plt.tight_layout()
plt.show()
def test_three_d(self):
from mpl_plotter.three_d import line, scatter, surface
line(show=True)
scatter(show=True)
surface(show=True)
# Wireframe
surface(show=True,
alpha=0,
line_width=0.5,
edge_color="red",
cstride=12,
rstride=12)
def test_two_d(self):
from mpl_plotter.two_d import line, scatter, heatmap, quiver, streamline, fill_area
line(show=show, backend=backend)
scatter(show=show, backend=backend)
heatmap(show=show, backend=backend)
quiver(show=show, backend=backend)
streamline(show=show, backend=backend)
fill_area(show=show, backend=backend)
# Input
x = np.linspace(0, 2 * np.pi, 100)
y = np.sin(x)
line(x=x, y=y, show=show, backend=backend, aspect=1)
def test_two_d(self):
from mpl_plotter.two_d import line, scatter, heatmap, quiver, streamline, fill_area
line(show=True)
scatter(show=True)
heatmap(show=True)
quiver(show=True)
streamline(show=True)
fill_area(show=True)
# Input
x = np.linspace(0, 2 * np.pi, 100)
y = np.sin(x)
line(x=x, y=y, show=True)