Geemap matplotlib

In [ ]:

import ee
import geemap
import numpy as np
import matplotlib.pyplot as plt
from ipywidgets import Output
from ipyleaflet import WidgetControl

import ee import geemap import numpy as np import matplotlib.pyplot as plt from ipywidgets import Output from ipyleaflet import WidgetControl

In [ ]:

Map = geemap.Map()

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

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

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

# Create an output widget to host the plot
output_widget = Output()

# Show the plot on the widget
with output_widget:
    output_widget.clear_output()
    plt.show()

# Add the widget as a control to the map
output_control = WidgetControl(widget=output_widget, position="bottomright")
Map.add_control(output_control)

Map = geemap.Map() # Data for plotting t = np.arange(0.0, 2.0, 0.01) s = 1 + np.sin(2 * np.pi * t) fig, ax = plt.subplots() ax.plot(t, s) ax.set( xlabel='time (s)', ylabel='voltage (mV)', title='About as simple as it gets, folks' ) ax.grid() # Create an output widget to host the plot output_widget = Output() # Show the plot on the widget with output_widget: output_widget.clear_output() plt.show() # Add the widget as a control to the map output_control = WidgetControl(widget=output_widget, position="bottomright") Map.add_control(output_control)

In [ ]:

Map

Map

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Last update: 2022-09-24