Ric*_*ard 64 python numpy dataframe pandas
我有一个如下所示的数据框:
Company Name Organisation Name Amount
10118 Vifor Pharma UK Ltd Welsh Assoc for Gastro & Endo 2700.00
10119 Vifor Pharma UK Ltd Welsh IBD Specialist Group, 169.00
10120 Vifor Pharma UK Ltd West Midlands AHSN 1200.00
10121 Vifor Pharma UK Ltd Whittington Hospital 63.00
10122 Vifor Pharma UK Ltd Ysbyty Gwynedd 75.93
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如何总结Amount和计算Organisation Name,以获得看起来像这样的新数据框?
Company Name Organisation Count Amount
10118 Vifor Pharma UK Ltd 5 11000.00
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我知道如何总结或计算:
df.groupby('Company Name').sum()
df.groupby('Company Name').count()
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但不是两个怎么做!
Max*_*axU 112
试试这个:
In [110]: (df.groupby('Company Name')
.....: .agg({'Organisation Name':'count', 'Amount': 'sum'})
.....: .reset_index()
.....: .rename(columns={'Organisation Name':'Organisation Count'})
.....: )
Out[110]:
Company Name Amount Organisation Count
0 Vifor Pharma UK Ltd 4207.93 5
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或者如果您不想重置索引:
df.groupby('Company Name')['Amount'].agg(['sum','count'])
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要么
df.groupby('Company Name').agg({'Amount': ['sum','count']})
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演示:
In [98]: df.groupby('Company Name')['Amount'].agg(['sum','count'])
Out[98]:
sum count
Company Name
Vifor Pharma UK Ltd 4207.93 5
In [99]: df.groupby('Company Name').agg({'Amount': ['sum','count']})
Out[99]:
Amount
sum count
Company Name
Vifor Pharma UK Ltd 4207.93 5
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cs9*_*s95 31
以防万一您想知道如何在聚合期间重命名列,这里是如何
df.groupby('Company Name')['Amount'].agg(MySum='sum', MyCount='count')
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或者,
df.groupby('Company Name').agg(MySum=('Amount', 'sum'), MyCount=('Amount', 'count'))
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MySum MyCount
Company Name
Vifor Pharma UK Ltd 4207.93 5
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如果您有很多列并且只有一列不同,您可以这样做:
In[1]: grouper = df.groupby('Company Name')
In[2]: res = grouper.count()
In[3]: res['Amount'] = grouper.Amount.sum()
In[4]: res
Out[4]:
Organisation Name Amount
Company Name
Vifor Pharma UK Ltd 5 4207.93
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请注意,您可以根据需要重命名“组织名称”列。