如何将字典列表的列表转换为 Pandas 数据框

Question

I Have have an output from a web crawling and I don't know how to convert into a Pandas Dataframe.

This is my output:

[[{'galaxy s10': 1, 'galaxy m30': 1, 'iphone xs max': 1, 'one vision': 1, 'moto g7': 1}], [{'iphone 11': 3}], [], [], [{'iphone 11': 1}, {'iphone 11': 1}]]

I think this output is a list of a lists of dicts .

I would like to transform into a pandas dataframe, like this:

enter image description here

Thanks!

Answer 1

I think this solves the problem.

import pandas as pd
from itertools import chain
a_list = [[{'galaxy s10': 1, 'galaxy m30': 1, 'iphone xs max': 1, 'one vision': 1, 'moto g7': 1}],
          [{'iphone 11': 3}], [], [], [{'iphone 11': 1}, {'iphone 11': 1}]]
consolidate = []
for l in list(chain(*a_list)):
    temp = {}
    for k,(key, value) in enumerate(l.items()) :
        temp.update({f"Cellphone{k+1}":key,
                     f"Cellphone{k+1}_views":value})
    consolidate.append(temp)
df = pd.DataFrame.from_dict(consolidate)
df

The output:

this part list(chain(*a_list )) will transform the list of lists.