pswamp.utils.misc
Attributes
Functions
Dict which allows assigning fields that don't exist. Source: |
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Convert time stamp (datetime) to seconds (float) |
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Convert seconds (float) to datetime object |
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Flatten arrays and insert nan values, useful for fast plotting |
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Module Contents
- pswamp.utils.misc.recursively_default_dict()
Dict which allows assigning fields that don’t exist. Source: https://stackoverflow.com/questions/13151276/automatically-add-key-to-python-dict
- Returns:
Empty dict
- Return type:
dict
- pswamp.utils.misc.lookup_strings(a, b, return_mask=False)
- pswamp.utils.misc.convert_time_stamp_to_seconds(time_stamp)
Convert time stamp (datetime) to seconds (float)
- Parameters:
time_stamp (datetime.datetime) – Input datetime object.
- Returns:
Number of seconds.
- Return type:
float
- pswamp.utils.misc.convert_datetime_to_seconds
- pswamp.utils.misc.convert_seconds_to_datetime(time_seconds)
Convert seconds (float) to datetime object
- Parameters:
time_seconds (float) – Number of seconds
- Returns:
Datetime object
- Return type:
datetime.datetime
- pswamp.utils.misc.flatten_array_insert_nan(x, y)
Flatten arrays and insert nan values, useful for fast plotting
Allows multiple series (in y) to be plotted with a single plot call. E.g. instead of plt.plot(x, y), plt.plot(*flatten_array_insert_nan(x, y)). Since the latter produces a single plot handle, it is much faster when there are many time series in y. Depending on plotting library, formatting of individual lines might not be possible.
Output arrays both have shape (n_series*(n_samples+1),).
- Parameters:
x (np.ndarray) – x-values, with shape (n_series, n_samples) or (n_series,)
y (np.ndarray) – y-values, with shape (n_series, n_samples)
- Raises:
Exception – If dimensions of x and y are not compatible.
- Returns:
x-values, with shape (n_series*(n_samples+1),) y_data: y-values, with shape (n_series*(n_samples+1),)
- Return type:
x_data
- pswamp.utils.misc.flatten_list_insert_nan(listlist)