WebLoad a feather-format object from the file path. Parameters pathstr, path object, or file-like object String, path object (implementing os.PathLike [str] ), or file-like object implementing a binary read () function. The string could be a URL. Valid URL schemes include http, ftp, s3, and file. For file URLs, a host is expected. WebFeather provides binary columnar serialization for data frames. It is designed to make reading and writing data frames efficient, and to make sharing data across data analysis languages easy. read_feather() can read both the Feather Version 1 (V1), a legacy version available starting in 2016, and the Version 2 (V2), which is the Apache Arrow IPC file …

Feather File Format — Apache Arrow v11.0.0

WebMar 14, 2024 · There was a bug in Arrow 2.0 that caused problems in reading compressed feather files written with Arrow 0.17; if you're using Arrow 2.0, it's possible that upgrading to 3.0 might fix this. Question not resolved ? You can try search: “NOT a feather file” when reading feather file from pandas . Related Question Related Blog Related Tutorials Webpyarrow.lib.ArrowInvalid: Input object was not a NumPy array 以下是复制该问题的虚拟代码。 import pyspark.sql.functions as F from pyspark.sql.types import * df = spark.createDataFrame([ (1, "A", "X1"), (2, "B", "X2"), (3, "B", "X3"), (1, "B", "X3"), (2, "C", "X2"), (3, "C", "X2"), (1, "C", "X1"), (1, "B", "X1"), ], ["id", "type", "code"]) 这是虚拟的udf hough 560 payloader

read_feather : Read a Feather file (an Arrow IPC file)

WebRead a pandas.DataFrame from Feather format. To read as pyarrow.Table use feather.read_table. Parameters: source str file path, or file-like object You can use MemoryMappedFile as source, for explicitly use memory map. columns sequence, optional Only read a specific set of columns. If not provided, all columns are read. WebSep 14, 2024 · When I'm trying to read a feather file I got this Error: ArrowInvalid: Column 0: In chunk 0: Invalid: Buffer #1 too small in array of type int64 and length 14712: … WebMar 31, 2024 · It is designed to make reading and writing data frames efficient, and to make sharing data across data analysis languages easy. read_feather () can read both the … hough 50