pyberry
DataDict Class
*Detailed docs to come shortly.
DataDict.select(*keys)
Selects specified keys from the data dictionary. If a key does not exist in all records, it will be omitted from those records.
Parameters:
*keys(Any): The keys to select. This can be any number of keys in the DataDict.
Returns:
DataDict: A DataDict containing only the selected keys.
DataDict.where(key: str, comparison: str, value: Any)
Filters the DataDict object based on the specified field and comparison. The DataDict object can be treated exactly like a list of dicts, but can also perform more complex queries.
Parameters:
key(Any): The key to filter by. This can be any key found in the DataDict.- comparison (str): The comparison operator to use. This can be any comparison operator found in the DataDict.
- value (Any): The value to compare the field to.
Returns:
Datadict: A DataDict object containing the filtered dicts.
DataDict.to_float(key: Any)
Converts the values of the specified key to floats. If conversion is not possible, raises a ValueError.
Modifies the DataDict in place.
Parameters:
key(Any): The key whose values are to be converted to float.
Modifies the DataDict in place.
DataDict.to_str(key: Any)
Converts the values of the specified key to strings.
Modifies the DataDict in place.
Parameters:
key(Any): The key whose values are to be converted to string.
DataDict.median(key: Any)
Calculates the median of the numerical values in the specified key. If the key contains non-numeric values, raises a ValueError.
Parameters:
key(Any): The key for which the median is to be calculated.
Returns:
int | float: The median of the key values.
DataDict.mean(key: Any)
Calculates the mean of the numerical values in the specified key. If the key contains non-numeric values, raises a ValueError.
Parameters:
key(Any): The key for which the mean is to be calculated.
Returns:
int | float: The mean of the key values.
DataDict.max(key: Any)
Calculates the maximum value out of all numerical values in the specified key. If the key contains non-numeric values, raises a ValueError.
Parameters:
key(Any): The key for which the maximum value is to be calculated.
Returns:
int | float: The maximum value of the key values.
DataDict.min(key: Any)
Calculates the minimum value out of all numerical values in the specified key. If the key contains non-numeric values, raises a ValueError.
Parameters:
key(Any): The key for which the minimum value is to be calculated.
Returns:
int | float: The minimum value of the key values.
DataDict.tail(n: int = 5)
Returns the last n elements of the data dictionary.
Parameters:
n(int): An integer specifying the number of elements to return from the end of the data dictionary (default is 5).
Returns:
DataDict: A DataDict representing the lastnelements.
DataDict.head(n: int = 5)
Returns the first n elements of the data dictionary.
Parameters:
n(int): An integer specifying the number of elements to return from the end of the data dictionary (default is 5).
Returns:
DataDict: A DataDict representing the firstnelements.
Metadata
Release files for pymelon 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| pymelon-0.4.0.tar.gz | 5.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pymelon-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.4 kB
Release files / pymelon-0.4.0.tar.gz
| Download URL | pymelon-0.4.0.tar.gz |
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| Size | 5.4 kB |
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