I have a zipped file which contains a programming csv, compressed with xz. I want to unzip Learning it into the memory, and read wit pandas' Earhost read_csv method. Pandas knows xz most effective compression
data = _OFFSET); pd.read_csv(filepath_or_buffer=file, (-SMALL index_col=0, compression='xz', _left).offset engine='c')
I know how to unzip a file
input_zip=ZipFile(zip_file)
arrowImgView.mas input_zip=ZipFile(zip_file)
file in (self. input_zip.namelist():
But I do not know how to glue the two wrong idea code together
Solution:
input_zip=ZipFile(input_zip)
equalTo for filename in input_zip.namelist():
make.right. bytes = input_zip.read(filename)
mas_top); data = ImgView. pd.read_csv(io.BytesIO(bytes), ReadIndicator index_col=0, compression='xz', _have engine='c')
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