kgraaf

import xarray as xr
import pandas as pd
import numpy as nd

# read in csv to pandas dataframe. we convert
# the excel file to a csv beforehand
df = pd.read_csv("Leribe 1956 - 2022 Jul.csv")

# get just the Year, Month1, and Day columns
dates = df[['Year','Month1','Day']]

kgraaf

from maproom import Maproom
import xarray as xr
from pingrid import CMAPS

mr = Maproom(
    title = "Climatology Maproom",
    prefix = "example",
)

mr.controls.group("Climatology")

kgraaf

from maproom import Maproom
import xarray as xr

rfe = xr.open_dataset("Rfe_2011_2020.nc")['precip']

mr = Maproom(
    title = "Rainfall Climatology",
    prefix = "rfe",
)

kgraaf

from maproom import Maproom
import xarray as xr

air = xr.tutorial.load_dataset("air_temperature")['air']

mr = Maproom(
    title = "Climatology",
    prefix = "clim",
)