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-rw-r--r--docs/tutorial.rst16
1 files changed, 8 insertions, 8 deletions
diff --git a/docs/tutorial.rst b/docs/tutorial.rst
index 1a092e9..23d2773 100644
--- a/docs/tutorial.rst
+++ b/docs/tutorial.rst
@@ -115,33 +115,33 @@ Tablib's killer feature is the ability to export your :class:`Dataset` objects i
**Comma-Separated Values** ::
- >>> data.csv
+ >>> data.export('csv')
Last Name,First Name,Age
Reitz,Kenneth,22
Monke,Bessie,20
**JavaScript Object Notation** ::
- >>> data.json
+ >>> data.export('json')
[{"Last Name": "Reitz", "First Name": "Kenneth", "Age": 22}, {"Last Name": "Monke", "First Name": "Bessie", "Age": 20}]
**YAML Ain't Markup Language** ::
- >>> data.yaml
+ >>> data.export('yaml')
- {Age: 22, First Name: Kenneth, Last Name: Reitz}
- {Age: 20, First Name: Bessie, Last Name: Monke}
**Microsoft Excel** ::
- >>> data.xls
+ >>> data.export('xls')
<censored binary data>
**Pandas DataFrame** ::
- >>> data.df
+ >>> data.export('df')
First Name Last Name Age
0 Kenneth Reitz 22
1 Bessie Monke 21
@@ -224,7 +224,7 @@ Let's add a dynamic column to our :class:`Dataset` object. In this example, we h
Let's have a look at our data. ::
- >>> data.yaml
+ >>> data.export('yaml')
- {Age: 22, First Name: Kenneth, Grade: 0.6, Last Name: Reitz}
- {Age: 20, First Name: Bessie, Grade: 0.75, Last Name: Monke}
@@ -254,7 +254,7 @@ For example, we can use the data available in the row to guess the gender of a s
Adding this function to our dataset as a dynamic column would result in: ::
- >>> data.yaml
+ >>> data.export('yaml')
- {Age: 22, First Name: Kenneth, Gender: Male, Last Name: Reitz}
- {Age: 20, First Name: Bessie, Gender: Female, Last Name: Monke}
@@ -354,7 +354,7 @@ When, it's often useful to create a blank row containing information on the upco
# Write spreadsheet to disk
with open('grades.xls', 'wb') as f:
- f.write(tests.xls)
+ f.write(tests.export('xls'))
The resulting **tests.xls** will have the following layout: