sqlite SciPy 0.19.0 Miscellaneous statistical functions XLsxWriter 0.9.8 Excel writing blosc Compression for msgpack fastparquet 0.2.1 Parquet reading / writing gcsfs 0.2.2 Google Cloud Storage access on linux xlrd 1.1.0 Excel reading xlwt 1.2.0 Excel writing xsel Clipboard I/O on linux zlib Compression for msgpack Optional dependencies for parsing HTML One of the following combinations of libraries ============================================================================== Dep. Variable: hr R-squared: 0.685 Model: OLS Adj. R-squared: 0.665 Method: Least Squares F-statistic: 34.28 Date: Sat, 02 Nov 2019 Prob

21 pandas: powerful Python data analysis toolkit, Release 0.7.1 PyData uses a shared copyright model. Each contributor maintains copyright over their contributions to PyData. However, it is important DataFrame (panel model) • x: Series, DataFrame, dict of Series, dict of DataFrame or Panel Based on the types of y and x, the model will be inferred to either a panel model or a regular linear model. If the y y variable is a DataFrame, the result will be a panel model. In this case, the x variable must either be a Panel, or a dict of DataFrame (which will be coerced into a Panel). 8.4.1 Standard OLS regression

21 pandas: powerful Python data analysis toolkit, Release 0.7.2 PyData uses a shared copyright model. Each contributor maintains copyright over their contributions to PyData. However, it is important DataFrame (panel model) • x: Series, DataFrame, dict of Series, dict of DataFrame or Panel Based on the types of y and x, the model will be inferred to either a panel model or a regular linear model. If the y y variable is a DataFrame, the result will be a panel model. In this case, the x variable must either be a Panel, or a dict of DataFrame (which will be coerced into a Panel). 8.4.1 Standard OLS regression

25 pandas: powerful Python data analysis toolkit, Release 0.7.3 PyData uses a shared copyright model. Each contributor maintains copyright over their contributions to PyData. However, it is important DataFrame (panel model) • x: Series, DataFrame, dict of Series, dict of DataFrame or Panel Based on the types of y and x, the model will be inferred to either a panel model or a regular linear model. If the y y variable is a DataFrame, the result will be a panel model. In this case, the x variable must either be a Panel, or a dict of DataFrame (which will be coerced into a Panel). 8.4.1 Standard OLS regression

Minimum Version Notes PyTables 3.5.1 HDF5-based reading / writing blosc 1.17.0 Compression for HDF5 zlib Compression for HDF5 fastparquet 0.4.0 Parquet reading / writing pyarrow 0.17.0 Parquet, ORC DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics and data model are quite different in places from an n-dimensional array. Series implements __array_ufunc__, which analysis toolkit, Release 1.3.3 (continued from previous page) Dep. Variable: hr R-squared: 0.685 Model: OLS Adj. R-squared: 0.665 Method: Least Squares F-statistic: 34.28 Date: Sun, 12 Sep 2021 Prob

Minimum Version Notes PyTables 3.5.1 HDF5-based reading / writing blosc 1.17.0 Compression for HDF5 zlib Compression for HDF5 fastparquet 0.4.0 Parquet reading / writing pyarrow 0.17.0 Parquet, ORC DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics and data model are quite different in places from an n-dimensional array. Series implements __array_ufunc__, which analysis toolkit, Release 1.3.4 (continued from previous page) Dep. Variable: hr R-squared: 0.685 Model: OLS Adj. R-squared: 0.665 Method: Least Squares F-statistic: 34.28 Date: Sun, 17 Oct 2021 Prob

Minimum Version Notes PyTables 3.5.1 HDF5-based reading / writing blosc 1.17.0 Compression for HDF5 zlib Compression for HDF5 fastparquet 0.4.0 Parquet reading / writing pyarrow 0.17.0 Parquet, ORC DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics and data model are quite different in places from an n-dimensional array. Series implements __array_ufunc__, which ============================================================================== Dep. Variable: hr R-squared: 0.685 Model: OLS Adj. R-squared: 0.665 Method: Least Squares F-statistic: 34.28 Date: Sun, 15 Aug 2021 Prob

Minimum Version Notes PyTables 3.6.1 HDF5-based reading / writing blosc 1.20.1 Compression for HDF5 zlib Compression for HDF5 fastparquet 0.4.0 Parquet reading / writing pyarrow 1.0.1 Parquet, ORC Clipboard I/O on linux Compression Dependency Minimum Version Notes brotli 0.7.0 Brotli compression python-snappy 0.6.0 Snappy compression Zstandard 0.15.2 Zstandard compression 1.4.2 Package overview DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics and data model are quite different in places from an n-dimensional array. Series implements __array_ufunc__, which

Minimum Version Notes PyTables 3.6.1 HDF5-based reading / writing blosc 1.20.1 Compression for HDF5 zlib Compression for HDF5 fastparquet 0.4.0 Parquet reading / writing pyarrow 1.0.1 Parquet, ORC Clipboard I/O on linux Compression Dependency Minimum Version Notes brotli 0.7.0 Brotli compression python-snappy 0.6.0 Snappy compression Zstandard 0.15.2 Zstandard compression 1.4.2 Package overview DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics and data model are quite different in places from an n-dimensional array. Series implements __array_ufunc__, which

Minimum Version Notes PyTables 3.6.1 HDF5-based reading / writing blosc 1.21.0 Compression for HDF5 zlib Compression for HDF5 fastparquet 0.4.0 Parquet reading / writing pyarrow 1.0.1 Parquet, ORC Clipboard I/O on linux Compression Dependency Minimum Version Notes brotli 0.7.0 Brotli compression python-snappy 0.6.0 Snappy compression Zstandard 0.15.2 Zstandard compression 1.4.2 Package overview DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics and data model are quite different in places from an n-dimensional array. Series implements __array_ufunc__, which