EsraaRagaa commented on a change in pull request #6221: Update IO Tutorial
URL: https://github.com/apache/incubator-mxnet/pull/6221#discussion_r132348701
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File path: docs/tutorials/basic/data.md
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@@ -125,37 +49,41 @@ for batch in data_iter:
print([batch.data, batch.label, batch.pad])
```
-## Read CSV
-
-There is an iterator called `CSVIter` to read data batches from CSV files. We
-first dump `data` into a csv file, and then load the data.
+## Reading data from CSV files
+MXNet provides [`CSVIter`](http://mxnet.io/api/python/io.html#mxnet.io.CSVIter)
+to read from CSV files and can be used as below:
```python
+#lets save `data` into a csv file first and try reading it back
np.savetxt('data.csv', data, delimiter=',')
data_iter = mx.io.CSVIter(data_csv='data.csv', data_shape=(3,), batch_size=30)
for batch in data_iter:
print([batch.data, batch.pad])
```
Review comment:
I am having a dataset and I want to pass it to mxnet, I tried to put it in a
csv formate(considered the flattening issue) and call it by CSViter, but I
should pass the csv label too, and when I do that the kernel(at anaconda) crash
always!
What should I do!
can you add the next step after creating the csv iterator, which is passing
that iterator to mxnet as the training or testing set, please? Thanks
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