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]:

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Last update: 2023-09-22
Created: 2023-09-22