tommylees112

import pandas as pd
import matplotlib.pyplot as plt
from pathlib import Path 

# make sure the data is loaded
data_dir = Path("/Users/tommylees/Downloads")
df = pd.read_csv(data_dir / "demo_sonde.csv", index_col=0)

# initialise plot
f, ax = plt.subplots()

tommylees112

conda create -n py
conda activate py
conda install -c conda-forge matplotlib tqdm jupyterlab ipython pip ruamel.yaml xarray black mypy pandas --yes

# test 
ipython -c "import xarray; import numpy; import pandas; import matplotlib; print('Everything Worked!')"

tommylees112

# metpy_env.sh
conda create -n metpy --yes
conda activate metpy
conda install -c conda-forge metpy --yes 
conda install -c conda-forge matplotlib tqdm jupyterlab ipython pip ruamel.yaml xarray descartes black mypy --yes

# NOTE: can only install geopandas with conda if python=3.7
# conda install -c conda-forge geopandas --yes 
# pip install geopandas

tommylees112

""" 
append to bottom of `/home/pi/.bashrc`

nohup python3 /home/pi/REACH_tjx/scripts/run_camera.py
"""
from datetime import datetime
from time import sleep 
from picamera import PiCamera

tommylees112

import xarray as xr
import matplotlib.pyplot as plt 
import seaborn as sns 

preds = xr.open_dataset("test_predictions_E030.nc")
preds = preds.drop(["horizon", "easting", "northing"])

f, ax = plt.subplots(figsize=(12, 4))
preds.isel(pixel=0).sel(time="2007").obs.plot(ax=ax, color="k")
preds.isel(pixel=0).sel(time="2007").sim.plot(ax=ax)

tommylees112

# environment_rioxarray.sh
conda create -n rioxarray --yes
conda activate rioxarray
conda install -c conda-forge geopandas --yes 
conda install -c conda-forge rioxarray rasterio --yes 
conda install -c conda-forge matplotlib tqdm jupyterlab ipython pip ruamel.yaml xarray descartes black mypy --yes
conda install -c anaconda spyder

# test it has worked
ipython -c "import geopandas; import rioxarray; import xarray"

tommylees112

# environment_rioxarray.sh
conda create -n rioxarray --yes
conda activate rioxarray
conda install -c conda-forge geopandas --yes
conda install -c conda-forge rioxarray rasterio --yes 
conda install -c conda-forge matplotlib tqdm jupyterlab ipython pip ruamel.yaml xarray descartes statsmodels scikit-learn black mypy --yes

# test it has worked
ipython -c "import geopandas; import rioxarray; import xarray"

tommylees112

"""
Mask xarray dataset using a shapefile [closed]
https://stackoverflow.com/a/64587946/9940782
"""
from typing import Tuple
import geopandas as gpd
import xarray as xr
import rasterio as rio
from pathlib import Path
import numpy as np

tommylees112

mono /home/pi/CumulusMX/CumulusMX.exe &

tommylees112

# outF = open("run_cumulusMX.sh", "w")
# line = “mono /home/pi/CumulusMX/CumulusMX.exe &”
# outF.write(line)
# outF.close()
import os
os.system("mono /home/pi/CumulusMX/CumulusMX.exe &")