nodejs-polars
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    Function readCSV

    • Read a CSV file or string into a Dataframe.


      Parameters

      • pathOrBody: string | Buffer<ArrayBufferLike>

        path or buffer or string

        • path: Path to a file or a file like string. Any valid filepath can be used. Example: file.csv.
        • body: String or buffer to be read as a CSV
      • Optionaloptions: Partial<ReadCsvOptions>
        • inferSchemaLength

          Maximum number of lines to read to infer schema. If set to 0, all columns will be read as pl.Utf8. If set to null, a full table scan will be done (slow).

        • nRows

          After n rows are read from the CSV, it stops reading. During multi-threaded parsing, an upper bound of n rows cannot be guaranteed.

        • batchSize

          Number of lines to read into the buffer at once. Modify this to change performance.

        • hasHeader

          Indicate if first row of dataset is header or not. If set to False first row will be set to column_x, x being an enumeration over every column in the dataset.

        • ignoreErrors

          Try to keep reading lines if some lines yield errors.

        • endRows

          After n rows are read from the CSV, it stops reading. During multi-threaded parsing, an upper bound of n rows cannot be guaranteed.

        • startRows

          Start reading after startRows position.

        • projection

          Indices of columns to select. Note that column indices start at zero.

        • sep

          Character to use as delimiter in the file.

        • columns

          Columns to select.

        • rechunk

          Make sure that all columns are contiguous in memory by aggregating the chunks into a single array.

        • encoding

          Allowed encodings: utf8, utf8-lossy. Lossy means that invalid utf8 values are replaced with character.

        • numThreads

          Number of threads to use in csv parsing. Defaults to the number of physical cpu's of your system.

        • dtype

          Overwrite the dtypes during inference.

        • schema

          Set the CSV file's schema. This only accepts datatypes that are implemented in the csv parser and expects a complete Schema.

        • lowMemory

          Reduce memory usage in expense of performance.

        • commentChar

          character that indicates the start of a comment line, for instance '#'.

        • quoteChar

          character that is used for csv quoting, default = ''. Set to null to turn special handling and escaping of quotes off.

        • nullValues

          Values to interpret as null values. You can provide a - string -> all values encountered equal to this string will be null - Array<string> -> A null value per column. - Record<string,string> -> An object or map that maps column name to a null value string.Ex. {"column_1": 0}

        • parseDates

          Whether to attempt to parse dates or not

      Returns pl.DataFrame

      DataFrame