docs: fixed the get_multiple_summary_pages example section.

dgnsrekt · Oct 6, 2020 · bd21c52 · bd21c52
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Showing 3 changed files with 5 additions and 5 deletions.
diff --git a/docs/.generated-files.txt b/docs/.generated-files.txt
@@ -1,6 +1,6 @@
 md5 4deb21401513245e45fbac01d42e30f2 content/index.md
 md5 c5541b9bc62ed11325a343e0861c3da0 content/examples/fuzzy-search-examples.md
-md5 f2953acdf551a4c84992bc1761132a66 content/examples/summary-page-examples.md
+md5 7ed154d81f590361b8bdf6326fd1abc9 content/examples/summary-page-examples.md
 md5 59cc7c35f69ba3d194d9260e54d3aca4 content/examples/extra-watchlist-example.md
 md5 38e0a0b77bf834d4bc2facc5cc3a6696 content/api/asset-types-module.md
 md5 0e1de7b8e161c64751268734db188a8a content/api/cleaner-module.md

diff --git a/docs/content/examples/summary-page-examples.md b/docs/content/examples/summary-page-examples.md
@@ -10,7 +10,7 @@ print(result.json(indent=4))
 ```
 
 !!! note
-    Note: The get_summary_page function returns a single SummaryPage object. You can serialize the SummaryPage object to json or a dictionary with the .json() and .dict() methods.
+    The get_summary_page function returns a single SummaryPage object. You can serialize the SummaryPage object to json or a dictionary with the .json() and .dict() methods.
 
 ## How to get multiple quotes from the summary page.
 
@@ -22,8 +22,8 @@ COLUMNS = ["open", "high", "low", "close", "volume"]
 search_items = ["TSLA", "GOOGLE", "appl", "aapl"]
 
 results = get_multiple_summary_pages(search_items)
-
 print(results.dataframe[COLUMNS])
 ```
+
 !!! note
-    Note: You can pass company names too. This function will do a symbol look up for you using fuzzy_search. The get_multiple_summary_pages returns a SummaryPageGroup which you can serialize to a pandas dataframe.
+    You can pass company names too. This function will do a symbol look up for you using fuzzy_search. The get_multiple_summary_pages returns a SummaryPageGroup which you can serialize to a pandas dataframe.
diff --git a/docs/markdown/summary_examples.md b/docs/markdown/summary_examples.md
@@ -22,8 +22,8 @@ COLUMNS = ["open", "high", "low", "close", "volume"]
 search_items = ["TSLA", "GOOGLE", "appl", "aapl"]
 
 results = get_multiple_summary_pages(search_items)
-
 print(results.dataframe[COLUMNS])
 ```
+
 !!! note
     You can pass company names too. This function will do a symbol look up for you using fuzzy_search. The get_multiple_summary_pages returns a SummaryPageGroup which you can serialize to a pandas dataframe.