我在python中工作了一段时间,但遇到了简单的问题,我必须为具有相同ID变量(Masteruserid)的不同变量运行交叉表函数。
pd.crosstab(data['MasterUserId'],visittime_cat)
pd.crosstab(data['MasterUserId'],week_cat)现在我想做同样的事情7-8次。我不是递归地调用交叉表函数,而是将其放入循环中,并为每次迭代生成交叉表数据集。我试过了,但没有成功。
def cross_tab(id_col,field):
col_names=['visittime_cat','week_cat','var3','var4']
for i in col_names:
'crosstab_{ }'.format(i)=pd.crosstab(id_col,i)我希望生成诸如crosstab_visittime_cat、crosstab_week_cat或as crosstab_1、crosstab_2等数据集。
发布于 2015-04-28 21:46:04
我可以建议将数据集存储在字典中吗?
def cross_tab(data_frame, id_col):
col_names=['visittime_cat','week_cat','var3','var4']
datasets = {}
for i in col_names:
datasets['crosstab_{}'.format(i)] = pd.crosstab(data_frame[id_col], data_frame[i])
return datasets使用虚构数据集进行测试
import numpy as np
import pandas as pd
data = pd.DataFrame({'MasterUserId': ['one', 'one', 'two', 'three'] * 6,
'visittime_cat': ['A', 'B', 'C'] * 8,
'week_cat': ['foo', 'foo', 'foo', 'bar', 'bar', 'bar'] * 4,
'var3': np.random.randn(24),
'var4': np.random.randn(24)})
storage = cross_tab(data, "MasterUserId")
storage.keys()
['crosstab_week_cat', 'crosstab_var4', 'crosstab_visittime_cat', 'crosstab_var3']
storage['crosstab_week_cat']
week_cat bar foo
MasterUserId
one 6 6
three 4 2
two 2 4
[3 rows x 2 columns]https://stackoverflow.com/questions/29921007
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