/Python/How to do downsampling in python

How to do downsampling in python

import xarray as xr
import numpy as np
import matplotlib.pyplot as plt

fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(15,5))

# Create a 10x10 array of random numbers
a = xr.DataArray(np.random.rand(10,10)*100, dims=['x', 'y'])

# "Downscale" the array, mean of blocks of size (2x2)
b = a.coarsen(x=2, y=2).mean()

# "Downscale" the array, mean of blocks of size (5x5)
c = a.coarsen(x=5, y=5).mean()

# Plot and cosmetics
a.plot(ax=ax1)
ax1.set_title("Full Data")

b.plot(ax=ax2)
ax2.set_title("mean of (2x2) boxes")

c.plot(ax=ax3)
ax3.set_title("mean of (5x5) boxes")

Source: stackoverflow.com

Similar codes

1 vote260 views3 answers
List of dict to df
Python
1 vote135 views1 answer
Python find first duplicate numbers
Python
46 votes135 views6 answers
Comment in python
Python
0 vote151 views1 answer
Python how to move multiple values from one list to another at once
Python
2 votes133 views1 answer
Tk.destroy arguments
Python
3 votes141 views1 answer
Webcam cv2
Python
0 vote160 views1 answer
Spooling in os
Python
1 vote128 views1 answer
Extract image from pdf python
Python
28 votes144 views6 answers
Create an empty dataframe
Python
0 vote143 views4 answers
Client network socket disconnected before secure TLS connection was established
Python