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
我如何对 Amount 求和并计算 Organisation Name，以获得如下所示的新数据框？
Company Name Organisation Count Amount
10118 Vifor Pharma UK Ltd 5 11000.00
我知道如何求和或个数:
df.groupby('Company Name').sum()
df.groupby('Company Name').count()
但不是如何做到这两点!
最佳答案
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
或者如果您不想重置索引:
df.groupby('Company Name')['Amount'].agg(['sum','count'])
或
df.groupby('Company Name').agg({'Amount': ['sum','count']})
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
关于python - 分组数据框并获得总和和计数？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/38174155/