@@ -61,7 +61,7 @@ The following tabs show you how to use the data catalog given the interface you
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````{tab-item} Python 3.10+
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:sync: python310plus
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- Use `data_catalog["key "]` as an default argument to access the
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+ Use `data_catalog["data "]` as an default argument to access the
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{class}`~pytask.PickleNode` within the task. When you are done transforming your
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{class}`~pandas.DataFrame`, save it with {meth}`~pytask.PickleNode.save`.
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@@ -74,7 +74,7 @@ Use `data_catalog["key"]` as an default argument to access the
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````{tab-item} Python 3.8+
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:sync: python38plus
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- Use `data_catalog["key "]` as an default argument to access the
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+ Use `data_catalog["data "]` as an default argument to access the
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{class}`~pytask.PickleNode` within the task. When you are done transforming your
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{class}`~pandas.DataFrame`, save it with {meth}`~pytask.PickleNode.save`.
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@@ -87,7 +87,7 @@ Use `data_catalog["key"]` as an default argument to access the
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````{tab-item} produces
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:sync: produces
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- Use `data_catalog["key "]` as an default argument to access the
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+ Use `data_catalog["data "]` as an default argument to access the
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{class}`~pytask.PickleNode` within the task. When you are done transforming your
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{class}`~pandas.DataFrame`, save it with {meth}`~pytask.PickleNode.save`.
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@@ -125,7 +125,7 @@ Following one of the interfaces gives you immediate access to the
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````{tab-item} Python 3.10+
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:sync: python310plus
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- Use `data_catalog["key "]` as an default argument to access the
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+ Use `data_catalog["data "]` as an default argument to access the
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{class}`~pytask.PickleNode` within the task. When you are done transforming your
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{class}`~pandas.DataFrame`, save it with {meth}`~pytask.PickleNode.save`.
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@@ -138,7 +138,7 @@ Use `data_catalog["key"]` as an default argument to access the
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````{tab-item} Python 3.8+
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:sync: python38plus
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- Use `data_catalog["key "]` as an default argument to access the
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+ Use `data_catalog["data "]` as an default argument to access the
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{class}`~pytask.PickleNode` within the task. When you are done transforming your
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{class}`~pandas.DataFrame`, save it with {meth}`~pytask.PickleNode.save`.
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