resampling data python
#Resample to monthly
df.resample('M').asfreq()resampling data python
#Resample to monthly
df.resample('M').asfreq()use functions to resample python
#We can also use custom functions and apply them when resampling using the .apply(method_name) method
#This is an example used in a downsampling example
def custom_resampler(arraylike):
return np.sum(arraylike) + 5
data.resample('Q').apply(custom_resampler)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")Copyright © 2021 Codeinu
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