DataFrame Methods |
The DataFrame type exposes the following members.
Name | Description | |
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![]() | checkForErrors |
Search the input of this DataFrame for lines containing "FactSetOnDemandQueryError", indicating that there was an error
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![]() | Equals | (Inherited from Object.) |
![]() | getCellT |
Get the dat point at the given row and column
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![]() | getCellAt |
Returns a datapoint at a given row and column as an object
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![]() | getCellFloat |
Returns a datapoint at given row and column as double
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![]() | getCellInt |
Returns a datapoint at given row and column as integer
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![]() | getCellString |
Returns a datapoint at given row and column as string
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![]() | getColumnT |
Returns all data points in a particular column
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![]() | getColumnAsDoubles |
Returns all datapoints in a column as doubles
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![]() | getColumnAsInts |
Returns all datapoints in a column as integers
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![]() | getColumnAsStrings |
Returns all datapoints in a column as strings
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![]() | getColumnForIndexT |
Returns a particular column for a particular index
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![]() | getColumnForIndexAsDoubles |
Returns a particular column for a particular index as a double Array
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![]() | getColumnForIndexAsInts |
Returns a particular column for a particular index as an int Array
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![]() | getColumnForIndexAsMatlabString |
For a specified index, returns all the values in one column as a string.
Column values can be separated by the separator string. For a column with the values 1 2 and 3,
we can format them to return as:
'1','2','3' (by passing , for separator and ' for a surrounder)
or
"1"|"2"|"3" (by passing | for separator and " for surrounder)
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![]() | getColumnForIndexAsStrings |
Returns a particular column for a particular index as a string Array
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![]() | getColumnNames |
Returns array with all column names
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![]() | getColumnTypes |
Returns array with all column types
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![]() | getColumnTypesAsStrings | |
![]() | getDotNetColumnTypes |
Return array containing .NET types each column is best cast to
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![]() | getError |
Get the exception this dataframe is storing, stored through the MarkException method.
Call this if the dataframe has an error to find out what error it is
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![]() | getFSOD |
Returns the FactSetOnDemand api object
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![]() | GetHashCode | Serves as a hash function for a particular type. (Inherited from Object.) |
![]() | getIndices |
Get an array with all the index groups
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![]() | getInput |
Returns the input received from the server, pre-parse
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![]() | getNumberOfColumns |
Returns the number of columns in this dataframe
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![]() | getNumberOfRows |
Returns the number of rows in this dataframe
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![]() | getSummaryBuilder |
Return the summarybuilder object that contains some data about the request
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![]() | GetType | Gets the Type of the current instance. (Inherited from Object.) |
![]() | hasError |
Returns true if this dataframe is storing an exception
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![]() | isDoneParsing |
Returns true if the dataframe is done
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![]() | IsMatrixData |
If the results downloaded by OnDemand servers state that the data contained in this DataFrame is Matrix-type data, this will be set to true
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![]() | MarkException |
Call to store an exception in the dataframe for future reference
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![]() | Parse(String) |
Parse the dataframe
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![]() | Parse(String, ListString) |
Parse the dataframe
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![]() | Parse(String, String) |
Parse the dataframe
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![]() | receiveData | |
![]() | throwErrorIfAnyIsPresent |
Throw the error this dataframe is storing.
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![]() | ToString | Returns a string that represents the current object. (Inherited from Object.) |