watex.methods.hydro.Logging.plot#

Logging.plot(normalize=False, impute_nan=True, log10=False, posiy=None, fill_value=None, **plot_kws)[source]#

Plot the logging data

Parameters

  • normalize (bool, default = False) – Normalize all the data to be range between (0, 1) except the depth,

  • impute_nan (bool, default=True,) – Replace the NaN values in the dataframe. Note that the default behaviour for replacing NaN is the mean. However if the argument of fill_value is provided,the latter should be used to replace ‘NaN’ in X.

  • log10 (bool, default=False) – Convert values to log10. This can be usefull when using the logarithm data. However, it seems not all the data can be used this operation, for instance, a negative data. In that case, column_to_skip argument is usefull to provide so to skip that columns when converting values to log10.

  • fill_value (str or numerical value, optional) – When strategy == “constant”, fill_value is used to replace all occurrences of missing_values. If left to the default, fill_value will be 0 when imputing numerical data and “missing_value” for strings or object data types. If not given and impute_nan is True, the mean strategy is used instead.

  • posiy (int, optional) – the position to place the target plot y . By default the target plot if given is located at the last position behind the logging plots.