pandas: powerful Python data analysis toolkit - 0.258.0 Google Big Query access psycopg2 PostgreSQL engine for sqlalchemy pyarrow 0.9.0 Parquet and feather reading / writing pymysql 0.7.11 MySQL engine for sqlalchemy pyreadstat SPSS files (.sav) reading \t for read_table()] Delimiter to use. If sep is None, the C engine cannot automatically detect the separator, but the Python parsing engine can, meaning the latter will be used and automatically detect '\s+' will be interpreted as regular expressions and will also force the use of the Python parsing engine. Note that regex delimiters are prone to ignoring quoted data. Regex example: '\\r\\t'. delimiter0 码力 | 698 页 | 4.91 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.4.4sion Notes SciPy 1.4.1 Miscellaneous statistical functions numba 0.50.1 Alternative execution engine for rolling operations (see Enhancing Perfor- mance) xarray 0.15.1 pandas-like API for N-dimensional 4.0 SQL support for databases other than sqlite psycopg2 2.8.4 PostgreSQL engine for sqlalchemy pymysql 0.10.1 MySQL engine for sqlalchemy Other data sources Dependency Minimum Version Notes PyTables \t for read_table()] Delimiter to use. If sep is None, the C engine cannot automatically detect the separator, but the Python parsing engine can, meaning the latter will be used and automatically detect0 码力 | 3743 页 | 15.26 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.4.2sion Notes SciPy 1.4.1 Miscellaneous statistical functions numba 0.50.1 Alternative execution engine for rolling operations (see Enhancing Perfor- mance) xarray 0.15.1 pandas-like API for N-dimensional 4.0 SQL support for databases other than sqlite psycopg2 2.8.4 PostgreSQL engine for sqlalchemy pymysql 0.10.1 MySQL engine for sqlalchemy Other data sources Dependency Minimum Version Notes PyTables \t for read_table()] Delimiter to use. If sep is None, the C engine cannot automatically detect the separator, but the Python parsing engine can, meaning the latter will be used and automatically detect0 码力 | 3739 页 | 15.24 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.5.0rc0sion Notes SciPy 1.7.1 Miscellaneous statistical functions numba 0.53.1 Alternative execution engine for rolling operations (see Enhancing Perfor- mance) xarray 0.19.0 pandas-like API for N-dimensional 4.16 SQL support for databases other than sqlite psycopg2 2.8.6 PostgreSQL engine for sqlalchemy pymysql 1.0.2 MySQL engine for sqlalchemy Other data sources Dependency Minimum Version Notes PyTables ase.py:3794, in Index.get_loc(self, key, method,␣ ˓→tolerance) 3793 try: -> 3794 return self._engine.get_loc(casted_key) 3795 except KeyError as err: File /pandas/pandas/_libs/index.pyx:138, in pandas0 码力 | 3943 页 | 15.73 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.3sion Notes SciPy 1.12.0 Miscellaneous statistical functions numba 0.46.0 Alternative execution engine for rolling operations (see Enhancing Perfor- mance) xarray 0.12.3 pandas-like API for N-dimensional 1.3.0 SQL support for databases other than sqlite psycopg2 2.7 PostgreSQL engine for sqlalchemy pymysql 0.8.1 MySQL engine for sqlalchemy Other data sources Dependency Minimum Version Notes PyTables \t for read_table()] Delimiter to use. If sep is None, the C engine cannot automatically detect the separator, but the Python parsing engine can, meaning the latter will be used and automatically detect0 码力 | 3603 页 | 14.65 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.4sion Notes SciPy 1.12.0 Miscellaneous statistical functions numba 0.46.0 Alternative execution engine for rolling operations (see Enhancing Perfor- mance) xarray 0.12.3 pandas-like API for N-dimensional 1.3.0 SQL support for databases other than sqlite psycopg2 2.7 PostgreSQL engine for sqlalchemy pymysql 0.8.1 MySQL engine for sqlalchemy Other data sources Dependency Minimum Version Notes PyTables \t for read_table()] Delimiter to use. If sep is None, the C engine cannot automatically detect the separator, but the Python parsing engine can, meaning the latter will be used and automatically detect0 码力 | 3605 页 | 14.68 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.2sion Notes SciPy 1.12.0 Miscellaneous statistical functions numba 0.46.0 Alternative execution engine for rolling operations (see Enhancing Perfor- mance) xarray 0.12.3 pandas-like API for N-dimensional 1.3.0 SQL support for databases other than sqlite psycopg2 2.7 PostgreSQL engine for sqlalchemy pymysql 0.8.1 MySQL engine for sqlalchemy Other data sources Dependency Minimum Version Notes PyTables \t for read_table()] Delimiter to use. If sep is None, the C engine cannot automatically detect the separator, but the Python parsing engine can, meaning the latter will be used and automatically detect0 码力 | 3509 页 | 14.01 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.2.30 Alternative execution engine for rolling operations openpyxl 2.6.0 Reading / writing for xlsx files pandas-gbq 0.12.0 Google Big Query access psycopg2 2.7 PostgreSQL engine for sqlalchemy pyarrow pyarrow 0.15.0 Parquet, ORC, and feather reading / writing pymysql 0.8.1 MySQL engine for sqlalchemy pyreadstat SPSS files (.sav) reading pyxlsb 1.0.6 Reading for xlsb files qtpy Clipboard I/O s3fs 0.4.0 \t for read_table()] Delimiter to use. If sep is None, the C engine cannot automatically detect the separator, but the Python parsing engine can, meaning the latter will be used and automatically detect0 码力 | 3323 页 | 12.74 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.1.146.0 Alternative execution engine for rolling operations openpyxl 2.5.7 Reading / writing for xlsx files pandas-gbq 0.12.0 Google Big Query access psycopg2 PostgreSQL engine for sqlalchemy pyarrow 0 0.12.0 Parquet, ORC (requires 0.13.0), and feather reading / writing pymysql 0.7.11 MySQL engine for sqlalchemy pyreadstat SPSS files (.sav) reading pytables 3.4.3 HDF5 reading / writing pyxlsb 1.0 \t for read_table()] Delimiter to use. If sep is None, the C engine cannot automatically detect the separator, but the Python parsing engine can, meaning the latter will be used and automatically detect0 码力 | 3231 页 | 10.87 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.1.046.0 Alternative execution engine for rolling operations openpyxl 2.5.7 Reading / writing for xlsx files pandas-gbq 0.12.0 Google Big Query access psycopg2 PostgreSQL engine for sqlalchemy pyarrow 0 0.12.0 Parquet, ORC (requires 0.13.0), and feather reading / writing pymysql 0.7.11 MySQL engine for sqlalchemy pyreadstat SPSS files (.sav) reading pytables 3.4.3 HDF5 reading / writing pyxlsb 1.0 \t for read_table()] Delimiter to use. If sep is None, the C engine cannot automatically detect the separator, but the Python parsing engine can, meaning the latter will be used and automatically detect0 码力 | 3229 页 | 10.87 MB | 1 年前3
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