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Aug 6th, 2022
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How to Copy index in 600

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for this video I will be describing the method to do a benchtop test of an index terminal first will be the verification of the splitter connectivity using a visual fault locator or VFL along with the VFL you will need a sc/apc jumper with a DLX converter and a male pinned HMF oc12 fiber SC ABC cable assembly using the VFL and jumper plug the light source into one of the drop ports with a black dust cap proper cleaning and eye safety should be observed and connect the hm FOC breakout to the terminal tail end a light will proceed through the drop port which is the output of the splitter this is the number one fiber of the 12 fiber strand and hence we should observe light appearing at the tail end of the HM FOC number one fiber next we can verify the reverse port connectivity using a VFL the reverse port is a fiber that is joined with 11 pass through fibers to make a 12 fiber termination at the green forward port along with the VFL you will need a sc/apc jumper with a DLX converter and

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#1 How to Use the INDEX Formula Type =INDEX( and select the area of the table, then add a comma. Type the row number for Kevin, which is 4, and add a comma. Type the column number for Height, which is 2, and close the bracket. The result is 5.8.
Use the clone index API to clone an existing index into a new index, where each original primary shard is cloned into a new primary shard in the new index. Elasticsearch doesnt apply index templates to the resulting index. The API also doesnt copy index metadata from the original index.
You can get the Index from the pandas DataFrame by using .index property, this index property returns Series object. Lets create DataFrame using data from the Python dictionary then call the index property on DataFrame to get the index.
Often you may want to select the rows of a pandas DataFrame based on their index value. If youd like to select rows based on integer indexing, you can use the .iloc function. If youd like to select rows based on label indexing, you can use the .loc function.
To return data in a dataframe at the passed position, use the Pandas at[] function. [position, Column Name] is the format of the passed location. This method functions similarly to Pandas loc[], except at[] returns a single value and so executes more quickly.
Pandas iloc[] to Select Column by Index or Position You can use iloc[] with the syntax [:,start:stop:step] where start indicates the index of the first column to take, stop indicates the index of the last column to take, and step indicates the number of indices to advance after each extraction.
copy() function make a copy of this object. The function also sets the name and dtype attribute of the new object as that of original object. If we wish to have a different datatype for the new object then we can do that by setting the dtype attribute of the function.
To select the rows, the syntax is df. loc[start:stop:step] ; where start is the name of the first-row label to take, stop is the name of the last row label to take, and step as the number of indices to advance after each extraction; for example, you can use it to select alternate rows.

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