60 add widget

Uncomment the following line to install leafmap if needed.

In [1]:

# !pip install -U leafmap

# !pip install -U leafmap

In [2]:

import leafmap

import leafmap

Add text.

In [3]:

m = leafmap.Map()
text = "Hello World"
m.add_text(text, position="bottomright")
m

m = leafmap.Map() text = "Hello World" m.add_text(text, position="bottomright") m

Out[3]:

Customize text style.

In [4]:

m = leafmap.Map()
text = "Hello World"

params = {
    "fontsize": 30,
    "fontcolor": "blue",
    "bold": True,
    "padding": "10px",
    "background": True,
    "bg_color": "white",
    "border_radius": "5px",
    "position": "bottomright",
}

m.add_text(text, **params)
m

m = leafmap.Map() text = "Hello World" params = { "fontsize": 30, "fontcolor": "blue", "bold": True, "padding": "10px", "background": True, "bg_color": "white", "border_radius": "5px", "position": "bottomright", } m.add_text(text, **params) m

Out[4]:

In [5]:

m = leafmap.Map(measure_control=False, scale_control=False)
left = "ESA WorldCover 2021 S2 FCC"
right = "ESA WorldCover 2021 S2 TCC"
m.split_map(left_layer=left, right_layer=right)
m.add_text(left, position="bottomleft")
m.add_text(right, position="bottomright")
m

m = leafmap.Map(measure_control=False, scale_control=False) left = "ESA WorldCover 2021 S2 FCC" right = "ESA WorldCover 2021 S2 TCC" m.split_map(left_layer=left, right_layer=right) m.add_text(left, position="bottomleft") m.add_text(right, position="bottomright") m

Out[5]:

Add image.

In [6]:

m = leafmap.Map()
image = "https://i.imgur.com/LmTETPX.png"
m.add_image(image, position="bottomright")
m

m = leafmap.Map() image = "https://i.imgur.com/LmTETPX.png" m.add_image(image, position="bottomright") m

Out[6]:

Add HTML.

In [7]:

m = leafmap.Map()
html = """
<h2>Jupyter Logo</h2>
<img src="https://i.imgur.com/LmTETPX.png">
"""
m.add_html(html, position="bottomright")
m

m = leafmap.Map() html = """

Jupyter Logo

""" m.add_html(html, position="bottomright") m

Out[7]:

Add widget.

In [8]:

import numpy as np
import matplotlib.pyplot as plt

import numpy as np import matplotlib.pyplot as plt

In [9]:

# Data for plotting
t = np.arange(0.0, 2.0, 0.01)
s = 1 + np.sin(2 * np.pi * t)

fig, ax = plt.subplots(figsize=(4, 3))
ax.plot(t, s)

ax.set(
    xlabel="time (s)", ylabel="voltage (mV)", title="About as simple as it gets, folks"
)
ax.grid()

# Data for plotting t = np.arange(0.0, 2.0, 0.01) s = 1 + np.sin(2 * np.pi * t) fig, ax = plt.subplots(figsize=(4, 3)) ax.plot(t, s) ax.set( xlabel="time (s)", ylabel="voltage (mV)", title="About as simple as it gets, folks" ) ax.grid()

In [10]:

m = leafmap.Map()
m.add_widget(fig, position="bottomright")
m

m = leafmap.Map() m.add_widget(fig, position="bottomright") m

Out[10]: