[英]Convert a list of dictionary containing dictionaries into Pandas dataframe
我有以下 python 字典列表:
[{'date': '2019-02-21', 'basicStats': {'min': -0.9994264245033264, 'max': -0.41181543469429016, 'mean': -0.4983844268421697, 'stDev': 0.071324608484601}}, {'date': '2019-02-16', 'basicStats': {'min': -0.9990605711936951, 'max': -0.09592325985431671, 'mean': -0.385945735727586, 'stDev': 0.0640801258659954}}, {'date': '2019-02-01', 'basicStats': {'min': -0.9989479184150696, 'max': -0.21808761358261108, 'mean': -0.4007919550689754, 'stDev': 0.07135259658292871}}]
我想將其轉換為 pandas dataframe,其中包含日期列和“min”、“max”、“mean”和“stdev”列。 但是,當我這樣做時:
pd.DataFrame(dict)
我得到:
date basicStats
0 2019-02-21 {'min': -0.9994264245033264, 'max': -0.4118154...
1 2019-02-16 {'min': -0.9990605711936951, 'max': -0.0959232...
2 2019-02-01 {'min': -0.9989479184150696, 'max': -0.2180876...
我怎樣才能解決這個問題?
from pandas.io.json import json_normalize
df = json_normalize(d)
print (df)
date basicStats.min basicStats.max basicStats.mean \
0 2019-02-21 -0.999426 -0.411815 -0.498384
1 2019-02-16 -0.999061 -0.095923 -0.385946
2 2019-02-01 -0.998948 -0.218088 -0.400792
basicStats.stDev
0 0.071325
1 0.064080
2 0.071353
另一個想法是擴展字典 - 提取鍵basicStats
並合並所有其他鍵:
df = pd.DataFrame([{**x, **x.pop('basicStats')} for x in d])
print (df)
date min max mean stDev
0 2019-02-21 -0.999426 -0.411815 -0.498384 0.071325
1 2019-02-16 -0.999061 -0.095923 -0.385946 0.064080
2 2019-02-01 -0.998948 -0.218088 -0.400792 0.071353
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