@@ -178,8 +178,8 @@ print some diagnostics, e.g.::
178178 : blocksize=0)
179179 Store type : builtins.dict
180180 No. bytes : 400000000 (381.5M)
181- No. bytes stored : 3702484 (3.5M )
182- Storage ratio : 108.0
181+ No. bytes stored : 3242241 (3.1M )
182+ Storage ratio : 123.4
183183 Chunks initialized : 100/100
184184
185185If you don't specify a compressor, by default Zarr uses the Blosc
@@ -270,8 +270,8 @@ Here is an example using a delta filter with the Blosc compressor::
270270 Compressor : Blosc(cname='zstd', clevel=1, shuffle=SHUFFLE, blocksize=0)
271271 Store type : builtins.dict
272272 No. bytes : 400000000 (381.5M)
273- No. bytes stored : 328085 (320 .4K)
274- Storage ratio : 1219.2
273+ No. bytes stored : 648605 (633 .4K)
274+ Storage ratio : 616.7
275275 Chunks initialized : 100/100
276276
277277For more information about available filter codecs, see the `Numcodecs
@@ -394,8 +394,8 @@ property. E.g.::
394394 Compressor : Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0)
395395 Store type : zarr.storage.DictStore
396396 No. bytes : 8000000 (7.6M)
397- No. bytes stored : 34840 (34.0K )
398- Storage ratio : 229.6
397+ No. bytes stored : 33460 (32.7K )
398+ Storage ratio : 239.1
399399 Chunks initialized : 10/10
400400
401401 >>> baz.info
@@ -1143,8 +1143,8 @@ ratios, depending on the correlation structure within the data. E.g.::
11431143 Compressor : Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0)
11441144 Store type : builtins.dict
11451145 No. bytes : 400000000 (381.5M)
1146- No. bytes stored : 15857834 (15.1M )
1147- Storage ratio : 25.2
1146+ No. bytes stored : 10502688 (10.0M )
1147+ Storage ratio : 38.1
11481148 Chunks initialized : 100/100
11491149 >>> f = zarr.array(a, chunks=(1000, 1000), order='F')
11501150 >>> f.info
@@ -1157,8 +1157,8 @@ ratios, depending on the correlation structure within the data. E.g.::
11571157 Compressor : Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0)
11581158 Store type : builtins.dict
11591159 No. bytes : 400000000 (381.5M)
1160- No. bytes stored : 7233241 (6.9M )
1161- Storage ratio : 55 .3
1160+ No. bytes stored : 5530511 (5.3M )
1161+ Storage ratio : 72 .3
11621162 Chunks initialized : 100/100
11631163
11641164In the above example, Fortran order gives a better compression ratio. This is an
0 commit comments