Step-by-step explanation:
Here's an example of the `parse_weather_data_file` function in Python that reads a text file containing weather data and extracts the station identifier, temperature, and relative humidity from each line:
```python
def parse_weather_data_file(file_path):
weather_data = []
# Open the file in read mode
with open(file_path, 'r') as file:
# Read each line in the file
for line in file:
# Extract the station identifier, temperature, and relative humidity
station_id = line[:8].strip()
temperature = float(line[8:11])
humidity = int(line[11:13])
# Create a dictionary with the extracted data
data = {
'station_id': station_id,
'temperature': temperature,
'humidity': humidity
}
# Append the dictionary to the weather data list
weather_data.append(data)
return weather_data
```
You can use this function by providing the file path as an argument. For example:
```python
file_path = 'path/to/your/file.txt'
weather_data = parse_weather_data_file(file_path)
for data in weather_data:
print(data)
```
Make sure to replace `'path/to/your/file.txt'` with the actual path to your file. The function will read each line of the file, extract the station identifier, temperature, and relative humidity, and store them in a dictionary. The dictionaries are then collected into a list, which is returned by the function. You can iterate over the `weather_data` list to access each weather data entry, which will be in the form of a dictionary.