我正在尝试将以下查询存储到数据帧中
db = conn["daune_leasing"]
collection = db["clienti_daune"]
pipeline=[{'$group':{
"_id": {'MARCA': '$MARCA', "MODEL": "$MODEL"},
"VENIT_ANUAL": {'$sum': '$VENIT_ANUAL'},
"DAUNA": {'$COUNT': '$DAUNA'},
"VALOARE_DAUNA": {'$sum': '$VALOARE_DAUNA'},
}},
{"$sort": {"_id": 1}}]
cursor = collection.find({"AN_FABRICATIE": {'$lt': 2010,'$gt': 2012},
"VALOARE_DAUNA": {'$gt': 30000}}, pipeline=pipeline)
df = pd.DataFrame.from_dict(list(cursor))
cursor.close()
pprint(df)
df_plot=df.loc[(df['DAUNA']>100)]
df_plot.bar(x='_id', y='DAUNA',rot=0)
plt.xlabel("MODEL")
plt.ylabel("DAUNA")
plt.show();
我收到以下错误
cursor = collection.find({"AN_FABRICATIE": {'$lt': 2010,'$gt': 2012},
File "C:\Users\andre\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pymongo\collection.py", line 1523, in find
return Cursor(self, *args, **kwargs)
TypeError: __init__()
got an unexpected keyword argument 'pipeline'
这样做:
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