flatdict | Python module for interacting with nested dicts | Dictionary library
kandi X-RAY | flatdict Summary
kandi X-RAY | flatdict Summary
Python module for interacting with nested dicts as a single level dict with delimited keys.
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Top functions reviewed by kandi - BETA
- Return a list of values as a list .
- Return a dict representation of the object .
- Set the value of the key .
- Return a list of keys .
- Set delimiter .
- Removes a key from the dict .
- Remove key from dict .
- Initialize the FlatterDict .
flatdict Key Features
flatdict Examples and Code Snippets
Community Discussions
Trending Discussions on flatdict
QUESTION
I am new to Python and I have a nested dictionary for which I want to normalize the values of the dictionary. For example:
...ANSWER
Answered 2022-Mar-22 at 09:43- Turn the string-values in your inner dicts into floats.
- Take one of the solutions from the the duplicate, for example
really_safe_normalise_in_place
. - Use the solution on each dict.
Example:
QUESTION
I have a nested dictionary with no key-value pairs. I am trying to separate them into a dataframe with separate columns and do not need to preserve the original structure. The intention is to separate each visible row into an actual row in a dataframe with the columns being named word
, start_time
, and end_time
. I have tried to flatten it with flatdict
, but since there is no named key it does not work.
Here is an example of the nested dictionary stored in the variable word_timestamps
.
ANSWER
Answered 2021-Nov-16 at 19:57You're basically "adding" a set of sublists.
QUESTION
I have a nested dictionary as follows:
...ANSWER
Answered 2020-Jun-26 at 19:51You could try with a dict
Comprehension:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install flatdict
You can use flatdict like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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