pandas: powerful Python data analysis toolkit - 0.25SPSS files (.sav) reading pytables 3.4.2 HDF5 reading / writing qtpy Clipboard I/O s3fs 0.0.8 Amazon S3 access xarray 0.8.2 pandas-like API for N-dimensional data xclip Clipboard I/O on linux xlrd index may or may not be written to the file. This unexpected extra column causes some databases like Amazon Redshift to reject the file, because that column doesnt exist in the target table. If you want to0 码力 | 698 页 | 4.91 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.12openpyxl, xlrd/xlwt – openpyxl version 1.6.1 or higher – Needed for Excel I/O • boto: necessary for Amazon S3 access. • One of the following combinations of libraries is needed to use the top-level read_html() returns a list of DataFrame s courtesy of @cpcloud. (GH3477, GH3605, GH3606) • Support for reading Amazon S3 files. (GH3504) • Added module for reading and writing JSON strings/files: pandas.io.json includes0 码力 | 657 页 | 3.58 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.17.0is ignored in the case of Categorical columns. (GH8868) • Fixed bug with reading CSV files from Amazon S3 on python 3 raising a TypeError (GH9452) • Bug in the Google BigQuery reader where the ‘jobComplete’ xlrd/xlwt – Needed for Excel I/O • XlsxWriter – Alternative Excel writer • boto: necessary for Amazon S3 access. • blosc: for msgpack compression using blosc • One of PyQt4, PySide, pygtk, xsel, or returns a list of DataFrame s courtesy of @cpcloud. (GH3477, GH3605, GH3606) • Support for reading Amazon S3 files. (GH3504) • Added module for reading and writing JSON strings/files: pandas.io.json includes0 码力 | 1787 页 | 10.76 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.13.1higher – Needed for Excel I/O • XlsxWriter – Alternative Excel writer. • boto: necessary for Amazon S3 access. • One of PyQt4, PySide, pygtk, xsel, or xclip: necessary to use read_clipboard(). Most returns a list of DataFrame s courtesy of @cpcloud. (GH3477, GH3605, GH3606) • Support for reading Amazon S3 files. (GH3504) 1146 Chapter 30. Release Notes pandas: powerful Python data analysis toolkit0 码力 | 1219 页 | 4.81 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.19.0is ignored in the case of Categorical columns. (GH8868) • Fixed bug with reading CSV files from Amazon S3 on python 3 raising a TypeError (GH9452) • Bug in the Google BigQuery reader where the ‘jobComplete’ Alternative Excel writer • Jinja2: Template engine for conditional HTML formatting. • boto: necessary for Amazon S3 access. • blosc: for msgpack compression using blosc • One of PyQt4, PySide, pygtk, xsel, or returns a list of DataFrame s courtesy of @cpcloud. (GH3477, GH3605, GH3606) • Support for reading Amazon S3 files. (GH3504) • Added module for reading and writing JSON strings/files: pandas.io.json includes0 码力 | 1937 页 | 12.03 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.19.1is ignored in the case of Categorical columns. (GH8868) • Fixed bug with reading CSV files from Amazon S3 on python 3 raising a TypeError (GH9452) • Bug in the Google BigQuery reader where the ‘jobComplete’ Alternative Excel writer • Jinja2: Template engine for conditional HTML formatting. • boto: necessary for Amazon S3 access. • blosc: for msgpack compression using blosc • One of PyQt4, PySide, pygtk, xsel, or returns a list of DataFrame s courtesy of @cpcloud. (GH3477, GH3605, GH3606) • Support for reading Amazon S3 files. (GH3504) • Added module for reading and writing JSON strings/files: pandas.io.json includes0 码力 | 1943 页 | 12.06 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.3is ignored in the case of Categorical columns. (GH8868) • Fixed bug with reading CSV files from Amazon S3 on python 3 raising a TypeError (GH9452) • Bug in the Google BigQuery reader where the ‘jobComplete’ Alternative Excel writer • Jinja2: Template engine for conditional HTML formatting. • s3fs: necessary for Amazon S3 access (s3fs >= 0.0.7). 374 Chapter 2. Installation pandas: powerful Python data analysis toolkit returns a list of DataFrame s courtesy of @cpcloud. (GH3477, GH3605, GH3606) • Support for reading Amazon S3 files. (GH3504) • Added module for reading and writing JSON strings/files: pandas.io.json includes0 码力 | 2045 页 | 9.18 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.2is ignored in the case of Categorical columns. (GH8868) • Fixed bug with reading CSV files from Amazon S3 on python 3 raising a TypeError (GH9452) • Bug in the Google BigQuery reader where the ‘jobComplete’ Alternative Excel writer • Jinja2: Template engine for conditional HTML formatting. • s3fs: necessary for Amazon S3 access (s3fs >= 0.0.7). 372 Chapter 2. Installation pandas: powerful Python data analysis toolkit returns a list of DataFrame s courtesy of @cpcloud. (GH3477, GH3605, GH3606) • Support for reading Amazon S3 files. (GH3504) • Added module for reading and writing JSON strings/files: pandas.io.json includes0 码力 | 1907 页 | 7.83 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.14.0than 2.0.0 – Needed for Excel I/O • XlsxWriter – Alternative Excel writer. • boto: necessary for Amazon S3 access. • One of PyQt4, PySide, pygtk, xsel, or xclip: necessary to use read_clipboard(). Most returns a list of DataFrame s courtesy of @cpcloud. (GH3477, GH3605, GH3606) • Support for reading Amazon S3 files. (GH3504) • Added module for reading and writing JSON strings/files: pandas.io.json includes0 码力 | 1349 页 | 7.67 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.21.1is ignored in the case of Categorical columns. (GH8868) • Fixed bug with reading CSV files from Amazon S3 on python 3 raising a TypeError (GH9452) • Bug in the Google BigQuery reader where the ‘jobComplete’ Alternative Excel writer • Jinja2: Template engine for conditional HTML formatting. • s3fs: necessary for Amazon S3 access (s3fs >= 0.0.7). • blosc: for msgpack compression using blosc • One of PyQt4, PySide returns a list of DataFrame s courtesy of @cpcloud. (GH3477, GH3605, GH3606) • Support for reading Amazon S3 files. (GH3504) • Added module for reading and writing JSON strings/files: pandas.io.json includes0 码力 | 2207 页 | 8.59 MB | 1 年前3
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