熊猫get_group导致内存错误
问题描述：
我创建了一个分组数据框，如下所示:
I have a grouped dataframe created like so:
my_gb = pandas.read_csv(filepath_or_buffer=my_file_path,
delimiter='\t').groupby(['col1', 'col2', 'col3', 'col4'])
然后我呼叫get_group:
my_row = my_gb.get_group((val1, val2, val3, val4))
并获得一个MemoryError.
IIUC，这只会返回一行视图(在我的数据集中)-这怎么会导致内存错误?
IIUC, this only returns a view of one row (in my dataset) - how can this cause a memory error?
答
无法正常工作，所以我自己进行了分组:
Couldn't get this to work so I did the grouping myself:
data = pandas.read_csv(filepath_or_buffer=my_file_path, delimiter='\t')
grouped = {}
for key, value in data.iterrows():
grouped[(value['col1'], value['col2'], value['col3'], value['col4'])] = value