@@ -394,8 +394,8 @@ property. E.g.::
394
394
Compressor : Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0)
395
395
Store type : zarr.storage.DictStore
396
396
No. bytes : 8000000 (7.6M)
397
- No. bytes stored : 33460 (32.7K )
398
- Storage ratio : 239.1
397
+ No. bytes stored : 33240 (32.5K )
398
+ Storage ratio : 240.7
399
399
Chunks initialized : 10/10
400
400
401
401
>>> baz.info
@@ -409,8 +409,8 @@ property. E.g.::
409
409
Compressor : Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0)
410
410
Store type : zarr.storage.DictStore
411
411
No. bytes : 4000000 (3.8M)
412
- No. bytes stored : 20443 (20.0K )
413
- Storage ratio : 195.7
412
+ No. bytes stored : 23943 (23.4K )
413
+ Storage ratio : 167.1
414
414
Chunks initialized : 100/100
415
415
416
416
Groups also have the :func: `zarr.hierarchy.Group.tree ` method, e.g.::
@@ -1143,8 +1143,8 @@ ratios, depending on the correlation structure within the data. E.g.::
1143
1143
Compressor : Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0)
1144
1144
Store type : builtins.dict
1145
1145
No. bytes : 400000000 (381.5M)
1146
- No. bytes stored : 10502688 (10.0M )
1147
- Storage ratio : 38.1
1146
+ No. bytes stored : 6696010 (6.4M )
1147
+ Storage ratio : 59.7
1148
1148
Chunks initialized : 100/100
1149
1149
>>> f = zarr.array(a, chunks=(1000, 1000), order='F')
1150
1150
>>> f.info
@@ -1157,8 +1157,8 @@ ratios, depending on the correlation structure within the data. E.g.::
1157
1157
Compressor : Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0)
1158
1158
Store type : builtins.dict
1159
1159
No. bytes : 400000000 (381.5M)
1160
- No. bytes stored : 5530511 (5.3M )
1161
- Storage ratio : 72.3
1160
+ No. bytes stored : 4684636 (4.5M )
1161
+ Storage ratio : 85.4
1162
1162
Chunks initialized : 100/100
1163
1163
1164
1164
In the above example, Fortran order gives a better compression ratio. This is an
0 commit comments