pandas: powerful Python data analysis toolkit - 0.20.3read_excel now supports s3 urls of the format s3://bucketname/filename (GH11447) • add support for AWS_S3_HOST env variable when reading from s3 (GH12198) • A simple version of Panel.round() is now implemented bz2-compressed files from AWS S3 (GH11070, GH11072). • In pd.read_csv, recognize s3n:// and s3a:// URLs as designating S3 file storage (GH11070, GH11071). • Read CSV files from AWS S3 incrementally, instead Python 2.) (GH11070, GH11073) • pd.read_csv is now able to infer compression type for files read from AWS S3 storage (GH11070, GH11074). 1.10.2 Backwards incompatible API changes 1.10.2.1 Changes to sorting0 码力 | 2045 页 | 9.18 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.2read_excel now supports s3 urls of the format s3://bucketname/filename (GH11447) • add support for AWS_S3_HOST env variable when reading from s3 (GH12198) • A simple version of Panel.round() is now implemented bz2-compressed files from AWS S3 (GH11070, GH11072). • In pd.read_csv, recognize s3n:// and s3a:// URLs as designating S3 file storage (GH11070, GH11071). • Read CSV files from AWS S3 incrementally, instead Python 2.) (GH11070, GH11073) • pd.read_csv is now able to infer compression type for files read from AWS S3 storage (GH11070, GH11074). 1.9.2 Backwards incompatible API changes 1.9.2.1 Changes to sorting0 码力 | 1907 页 | 7.83 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.21.1read_excel now supports s3 urls of the format s3://bucketname/filename (GH11447) • add support for AWS_S3_HOST env variable when reading from s3 (GH12198) • A simple version of Panel.round() is now implemented bz2-compressed files from AWS S3 (GH11070, GH11072). • In pd.read_csv, recognize s3n:// and s3a:// URLs as designating S3 file storage (GH11070, GH11071). • Read CSV files from AWS S3 incrementally, instead Python 2.) (GH11070, GH11073) • pd.read_csv is now able to infer compression type for files read from AWS S3 storage (GH11070, GH11074). 1.12.2 Backwards incompatible API changes 1.12.2.1 Changes to sorting0 码力 | 2207 页 | 8.59 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.2EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY Harry Potter J K. Rowling 2005 29.99 2 web Learning XML Erik T. Ray 2003 39.95 Even read XML from AWS S3 buckets such as Python Software Foundation’s IRS 990 Form: In [331]: df = pd.read_xml( .....: com/docs/remote/containers for details. PyCharm (Professional) Enable Docker support and use the Services tool window to build and manage images as well as run and interact with containers. See https://www0 码力 | 3509 页 | 14.01 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.3EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY Harry Potter J K. Rowling 2005 29.99 2 web Learning XML Erik T. Ray 2003 39.95 Even read XML from AWS S3 buckets such as Python Software Foundation’s IRS 990 Form: In [331]: df = pd.read_xml( .....: com/docs/remote/containers for details. PyCharm (Professional) Enable Docker support and use the Services tool window to build and manage images as well as run and interact with containers. See https://www0 码力 | 3603 页 | 14.65 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.4EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY Harry Potter J K. Rowling 2005 29.99 2 web Learning XML Erik T. Ray 2003 39.95 Even read XML from AWS S3 buckets such as Python Software Foundation’s IRS 990 Form: In [331]: df = pd.read_xml( .....: com/docs/remote/containers for details. PyCharm (Professional) Enable Docker support and use the Services tool window to build and manage images as well as run and interact with containers. See https://www0 码力 | 3605 页 | 14.68 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.1.1EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY your S3 bucket requires credentials you will need to set them as environment variables or in the ~/.aws/ credentials config file, refer to the S3Fs documentation on credentials. 264 Chapter 2. User Guide integration services, once your pull request is submitted. However, if you wish to run the test suite on a branch prior to submitting the pull request, then the continuous integration services need to be0 码力 | 3231 页 | 10.87 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.1.0EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY your S3 bucket requires credentials you will need to set them as environment variables or in the ~/.aws/ credentials config file, refer to the S3Fs documentation on credentials. Writing out data Writing integration services, once your pull request is submitted. However, if you wish to run the test suite on a branch prior to submitting the pull request, then the continuous integration services need to be0 码力 | 3229 页 | 10.87 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.0.0EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY your S3 bucket requires credentials you will need to set them as environment variables or in the ~/.aws/ credentials config file, refer to the S3Fs documentation on credentials. 3.1. IO tools (text, CSV integration services, once your pull request is submitted. However, if you wish to run the test suite on a branch prior to submitting the pull request, then the continuous integration services need to be0 码力 | 3015 页 | 10.78 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.25.0EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY your S3 bucket requires credentials you will need to set them as environment variables or in the ~/.aws/ credentials config file, refer to the S3Fs documentation on credentials. Writing out data Writing integration services, once your pull request is submitted. However, if you wish to run the test suite on a branch prior to submitting the pull request, then the continuous integration services need to be0 码力 | 2827 页 | 9.62 MB | 1 年前3
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