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  • pdf文档 pandas: powerful Python data analysis toolkit - 1.3.3

    Visualization Dependency Minimum Version Notes setuptools 38.6.0 Utils for entry points of plotting backend matplotlib 2.2.3 Plotting library Jinja2 2.10 Conditional formatting with DataFrame.style tabulate Version Notes fsspec 0.7.4 Handling files aside from simple local and HTTP gcsfs 0.6.0 Google Cloud Storage access pandas-gbq 0.12.0 Google Big Query access s3fs 0.4.0 Amazon S3 access 1.4. Tutorials 11 ["filename_01", "filename_02"], .....: "path": [ .....: "media/user_name/storage/folder_01/filename_01", .....: "media/user_name/storage/folder_02/filename_02", .....: ], .....: } .....: In [128]: pd.set_option("display
    0 码力 | 3603 页 | 14.65 MB | 1 年前
    3

  • pdf文档 pandas: powerful Python data analysis toolkit - 1.3.4

    Visualization Dependency Minimum Version Notes setuptools 38.6.0 Utils for entry points of plotting backend matplotlib 2.2.3 Plotting library Jinja2 2.10 Conditional formatting with DataFrame.style tabulate Version Notes fsspec 0.7.4 Handling files aside from simple local and HTTP gcsfs 0.6.0 Google Cloud Storage access pandas-gbq 0.12.0 Google Big Query access s3fs 0.4.0 Amazon S3 access 1.4. Tutorials 11 ["filename_01", "filename_02"], .....: "path": [ .....: "media/user_name/storage/folder_01/filename_01", .....: "media/user_name/storage/folder_02/filename_02", .....: ], .....: } .....: In [128]: pd.set_option("display
    0 码力 | 3605 页 | 14.68 MB | 1 年前
    3

  • pdf文档 pandas: powerful Python data analysis toolkit - 1.3.2

    Visualization Dependency Minimum Version Notes setuptools 38.6.0 Utils for entry points of plotting backend matplotlib 2.2.3 Plotting library Jinja2 2.10 Conditional formatting with DataFrame.style tabulate Version Notes fsspec 0.7.4 Handling files aside from simple local and HTTP gcsfs 0.6.0 Google Cloud Storage access pandas-gbq 0.12.0 Google Big Query access s3fs 0.4.0 Amazon S3 access Clipboard Dependency Release 1.3.2 (continued from previous page) .....: "media/user_name/storage/folder_01/filename_01", .....: "media/user_name/storage/folder_02/filename_02", .....: ], .....: } .....: In [128]: pd.set_option("display
    0 码力 | 3509 页 | 14.01 MB | 1 年前
    3

  • pdf文档 pandas: powerful Python data analysis toolkit - 1.2.3

    aside from local and HTTP fastparquet 0.4.0 Parquet reading / writing gcsfs 0.6.0 Google Cloud Storage access html5lib 1.0.1 HTML parser for read_html (see note) lxml 4.3.0 HTML parser for read_html Release 1.2.3 (continued from previous page) .....: "media/user_name/storage/folder_01/filename_01", .....: "media/user_name/storage/folder_02/filename_02", .....: ], .....: } .....: In [128]: pd.set_option("display DataFrame(datafile) Out[129]: filename path 0 filename_01 media/user_name/storage/fo... 1 filename_02 media/user_name/storage/fo... In [130]: pd.set_option("display.max_colwidth", 100) In [131]: pd
    0 码力 | 3323 页 | 12.74 MB | 1 年前
    3

  • pdf文档 pandas: powerful Python data analysis toolkit - 1.2.0

    aside from local and HTTP fastparquet 0.3.2 Parquet reading / writing gcsfs 0.6.0 Google Cloud Storage access html5lib 1.0.1 HTML parser for read_html (see note) lxml 4.3.0 HTML parser for read_html Release 1.2.0 (continued from previous page) .....: "media/user_name/storage/folder_01/filename_01", .....: "media/user_name/storage/folder_02/filename_02", .....: ], .....: } .....: In [128]: pd.set_option("display DataFrame(datafile) Out[129]: filename path 0 filename_01 media/user_name/storage/fo... 1 filename_02 media/user_name/storage/fo... In [130]: pd.set_option("display.max_colwidth", 100) In [131]: pd
    0 码力 | 3313 页 | 10.91 MB | 1 年前
    3

  • pdf文档 pandas: powerful Python data analysis toolkit - 1.4.2

    Version Notes fsspec 0.7.4 Handling files aside from simple local and HTTP gcsfs 0.6.0 Google Cloud Storage access pandas-gbq 0.14.0 Google Big Query access s3fs 0.4.0 Amazon S3 access 1.4. Tutorials 11 ["filename_01", "filename_02"], .....: "path": [ .....: "media/user_name/storage/folder_01/filename_01", .....: "media/user_name/storage/folder_02/filename_02", .....: ], .....: } .....: In [128]: pd.set_option("display DataFrame(datafile) Out[129]: filename path 0 filename_01 media/user_name/storage/fo... 1 filename_02 media/user_name/storage/fo... In [130]: pd.set_option("display.max_colwidth", 100) In [131]: pd
    0 码力 | 3739 页 | 15.24 MB | 1 年前
    3

  • pdf文档 pandas: powerful Python data analysis toolkit - 1.4.4

    Version Notes fsspec 0.7.4 Handling files aside from simple local and HTTP gcsfs 0.6.0 Google Cloud Storage access pandas-gbq 0.14.0 Google Big Query access s3fs 0.4.0 Amazon S3 access 1.4. Tutorials 11 ["filename_01", "filename_02"], .....: "path": [ .....: "media/user_name/storage/folder_01/filename_01", .....: "media/user_name/storage/folder_02/filename_02", .....: ], .....: } .....: In [128]: pd.set_option("display DataFrame(datafile) Out[129]: filename path 0 filename_01 media/user_name/storage/fo... 1 filename_02 media/user_name/storage/fo... In [130]: pd.set_option("display.max_colwidth", 100) In [131]: pd
    0 码力 | 3743 页 | 15.26 MB | 1 年前
    3

  • pdf文档 pandas: powerful Python data analysis toolkit - 1.5.0rc0

    Notes fsspec 2021.5.0 Handling files aside from simple local and HTTP gcsfs 2021.5.0 Google Cloud Storage access pandas-gbq 0.15.0 Google Big Query access s3fs 2021.05.0 Amazon S3 access Clipboard Dependency ["filename_01", "filename_02"], .....: "path": [ .....: "media/user_name/storage/folder_01/filename_01", .....: "media/user_name/storage/folder_02/filename_02", .....: ], .....: } .....: In [131]: pd.set_option("display DataFrame(datafile) Out[132]: filename path 0 filename_01 media/user_name/storage/fo... 1 filename_02 media/user_name/storage/fo... In [133]: pd.set_option("display.max_colwidth", 100) In [134]: pd
    0 码力 | 3943 页 | 15.73 MB | 1 年前
    3

  • pdf文档 pandas: powerful Python data analysis toolkit - 1.1.1

    aside from local and HTTP fastparquet 0.3.2 Parquet reading / writing gcsfs 0.6.0 Google Cloud Storage access html5lib HTML parser for read_html (see note) lxml 3.8.0 HTML parser for read_html (see {'filename': ['filename_01', 'filename_02'], .....: 'path': ["media/user_name/storage/folder_01/filename_01", .....: "media/user_name/storage/folder_02/filename_02"]} .....: In [128]: pd.set_option('display.max_colwidth' DataFrame(datafile) Out[129]: filename path 0 filename_01 media/user_name/storage/fo... 1 filename_02 media/user_name/storage/fo... In [130]: pd.set_option('display.max_colwidth', 100) In [131]: pd
    0 码力 | 3231 页 | 10.87 MB | 1 年前
    3

  • pdf文档 pandas: powerful Python data analysis toolkit - 1.1.0

    aside from local and HTTP fastparquet 0.3.2 Parquet reading / writing gcsfs 0.6.0 Google Cloud Storage access html5lib HTML parser for read_html (see note) lxml 3.8.0 HTML parser for read_html (see {'filename': ['filename_01', 'filename_02'], .....: 'path': ["media/user_name/storage/folder_01/filename_01", .....: "media/user_name/storage/folder_02/filename_02"]} .....: In [128]: pd.set_option('display.max_colwidth' DataFrame(datafile) Out[129]: filename path 0 filename_01 media/user_name/storage/fo... 1 filename_02 media/user_name/storage/fo... In [130]: pd.set_option('display.max_colwidth', 100) In [131]: pd
    0 码力 | 3229 页 | 10.87 MB | 1 年前
    3
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