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Jason Liu
33 lines
994 B
Python
33 lines
994 B
Python
import pandas as pd
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def flatten_dict(d, parent_key="", sep="_"):
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"""
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Flatten a nested dictionary.
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:param d: The nested dictionary to flatten.
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:param parent_key: The base key to use for the flattened keys.
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:param sep: Separator to use between keys.
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:return: A flattened dictionary.
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"""
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items = []
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for k, v in d.items():
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new_key = f"{parent_key}{sep}{k}" if parent_key else k
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if isinstance(v, dict):
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items.extend(flatten_dict(v, new_key, sep=sep).items())
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else:
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items.append((new_key, v))
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return dict(items)
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def dicts_to_df(list_of_dicts):
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"""
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Convert a list of dictionaries to a pandas DataFrame.
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:param list_of_dicts: List of dictionaries, potentially nested.
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:return: A pandas DataFrame representing the flattened data.
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"""
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# Flatten each dictionary and create a DataFrame
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flattened_data = [flatten_dict(d) for d in list_of_dicts]
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return pd.DataFrame(flattened_data)
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