Gdahuks

import numpy as np


def get_valid_indices(series: np.ndarray) -> (np.ndarray, np.ndarray):
    """
    Get valid indices from a series.

    This function gets valid indices from a given series. The valid indices are those where the series
    value and successor value are not NaN. The function returns two arrays:
    the valid indices and the valid indices shifted by one to calculate the transition matrix.

Gdahuks

import numpy as np
import scipy


def calculate_stationary_state(transition_matrix: np.ndarray) -> np.ndarray:
    """
    Calculate the stationary state of a transition matrix.

    This function calculates the stationary state of a given transition matrix. The stationary state is the
    state that the system will converge to over time. It is calculated by finding the eigenvector of the

Gdahuks

# Download meteorological data archive from https://danepubliczne.imgw.pl/datastore
# Code	Name
# B00300S	Air temperature (official)
# B00305A	Ground temperature (sensor)
# B00202A	Wind direction (sensor)
# B00702A	Average wind speed 10 minutes (sensor)
# B00703A	Maximum wind speed (sensor)
# B00608S	Precipitation sum 10 minutes
# B00604S	Daily precipitation sum
# B00606S	Hourly precipitation sum

Gdahuks

# This script reformats multiple CSV files containing environmental data
# (see https://gist.github.com/Gdahuks/ae97bebaaff937189a235f9dfecb41e1)
# into a single Parquet table with the date and time as index and the station IDs as columns.

# Input: B00300S_2012_01.csv, B00300S_2012_01.csv, ..., B00300S_2022_12.csv
# 249190890;B00300S;2012-01-01 00:00;-2,9;
# 249190890;B00300S;2012-01-01 00:10;-2,8;
# 249190890;B00300S;2012-01-01 00:20;-2,9;
# 249190890;B00300S;2012-01-01 00:30;-3,3;
# ...