Pandas：TypeError：sort_values() 缺少 1 个必需的位置参数：'by'
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Pandas: TypeError: sort_values() missing 1 required positional argument: 'by'
提问by ds_ro
I am facing TypeError: sort_values() missing 1 required positional argument: 'by'
我面临 TypeError: sort_values() 缺少 1 个必需的位置参数：'by'
for i in range(0,len(data_sims.index)):
for j in range(1,len(data_sims.columns)):
user = data_sims.index[i]
serial = data_sims.columns[j]
if dataUser.ix[i][j] == 1:
data_sims.ix[i][j] = 0
else:
serial_top_names = data_neighbours.ix[serial][1:10]
serial_top_sims = dataSim.ix[serial].sort_values(ascending=False)[1:10]
user_preferences = dataUser.ix[user,serial_top_names]
data_sims.ix[i][j] = getScore(user_preferences,serial_top_sims)
Detailed Error:
详细错误：
> ---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
in ()
9 else:
10 serial_top_names = data_neighbours.ix[serial][1:10]
---> 11 serial_top_sims = dataSim.ix[serial].sort_values(ascending=False)[1:10]
12 user_preferences = dataUser.ix[user,serial_top_names]
13
TypeError: sort_values() missing 1 required positional argument: 'by'
I tried using following but didn't work
我尝试使用以下但没有用
pd.DataFrame.sort_values(dataSim,ascending=[0])[1:10]
Is there anything that I'm missing?
有什么我想念的吗？
采纳答案by Grant
The documentation for Pandasmentions:
DataFrame.sort_values(by,
axis=0,
ascending=True,
inplace=False,
kind='quicksort',
na_position='last')
by: str or list of str Name or list of names which refer to the axis items.
by: str 或 str 列表 引用轴项的名称或名称列表。
In my example:
在我的例子中：
df.groupby('product').agg({'weight':'sum'}).sort_values(by='weight')
Adding by='weight' solved the TypeError: sort_values() missing 1 required positional argument: 'by'
添加 by='weight' 解决了 TypeError: sort_values() missing 1 required positional argument: 'by'
