From d3ef40613b7f88385a808b6f77e8e87e19c47746 Mon Sep 17 00:00:00 2001 From: Farid Abdalla Date: Mon, 17 Jan 2022 09:19:36 +0100 Subject: [PATCH] Correction of a typo (#939) --- docs/chunkstore.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/chunkstore.md b/docs/chunkstore.md index 0ea013caf..aa3ce36c4 100644 --- a/docs/chunkstore.md +++ b/docs/chunkstore.md @@ -23,7 +23,7 @@ At this point you have an empty Chunkstore library. You can write data to it sev `symbol, item, chunker=DateChunker(), **kwargs` -`symbol` is the name that is used to store/retrieve the data in Arctic. `item` is the dataframe/series. If you wish to change the chunker type, you can use the keyword arg `chunker` to specify a new chunker. Optional keyword args are passed on to the chunker. For the case of DateRange chunker, you can specify a `chunk_size` (D, M, Y, or any other datetime frequency supported by Panads). +`symbol` is the name that is used to store/retrieve the data in Arctic. `item` is the dataframe/series. If you wish to change the chunker type, you can use the keyword arg `chunker` to specify a new chunker. Optional keyword args are passed on to the chunker. For the case of DateRange chunker, you can specify a `chunk_size` (D, M, Y, or any other datetime frequency supported by Pandas). `write` is designed to write and replace data. If you write symbol `test` with one dataset and write it again with another, the original data will be overwritten.