我正在研究有關地球磁場的地面觀測數據。我在Jupyter Notebook的Python中工作。每個天文臺都有一個數據系列，繪制如下圖：plt.scatter法典：# Function that plots the time series and the data series from a .mat data file # (in the dB-direction based on the out-variable), that is associated with the observatory code (based on the sta-variable)# It also takes an optional argument 'showdatapoints' so its possible to show data points mainly for debuggingdef plotdata_stations(filename, sta, out, start, stop, *args):# Makes the function use one of the three columns (and thus directions of field) in the data series based on inputif out == 'radial':    dat = 0elif out == 'theta':    dat = 1elif out == 'phi':    dat = 2# If the user inputs something else than one of these three, it returns an error and a hint to resolve the errorelse:    print('\nError: Component ' + "'" + out + "'" + ' not recognized...')    print('\nHint: Try using ' + "'" + 'radial' + "', " + "'" + 'theta' + "' or " + "'" + 'phi' + "'.")# Try to load file in case the file does not existtry:    nam = DataLoad(filename, 'obs_all')# If the file does not exist, it returns an error and a hint to resolve the errorexcept:    print('\nError: File ' + "'" + filename + "'" + ' not recognized...')     print('\nHint: Try putting your file in the same folder as this script.')# If the observatory code is not in the data file, it returns an error and a hint to resolve the errorif sta not in nam and sta != 'all':    print('\nError: Observatory Code ' + "'" + sta + "'" + ' not recognized...')        print('\nHint: Try using an Observatory Code from the Observatory Locations map.')