4 X python-dateutil 2.6.1 X bottleneck 1.2.1 numexpr 2.6.2 pytest (dev) 4.0.2 For optional libraries the general recommendation is to use the latest version. The following table lists the lowest version version per library that is currently being tested throughout the development of pandas. Optional libraries below the lowest tested version may still work, but are not considered supported. 20 Chapter 1 version 0.10.0 of the pandas-gbq library as well as the google-cloud-bigquery-storage and fastavro libraries. (GH26104) • Fixed memory leak in DataFrame.to_json() when dealing with numeric data (GH24889)

4 X python-dateutil 2.6.1 X bottleneck 1.2.1 numexpr 2.6.2 pytest (dev) 4.0.2 For optional libraries the general recommendation is to use the latest version. The following table lists the lowest version version per library that is currently being tested throughout the development of pandas. Optional libraries below the lowest tested version may still work, but are not considered supported. 20 Chapter 1 version 0.10.0 of the pandas-gbq library as well as the google-cloud-bigquery-storage and fastavro libraries. (GH26104) • Fixed memory leak in DataFrame.to_json() when dealing with numeric data (GH24889)

4 X python-dateutil 2.6.1 X bottleneck 1.2.1 numexpr 2.6.2 pytest (dev) 4.0.2 For optional libraries the general recommendation is to use the latest version. The following table lists the lowest version version per library that is currently being tested throughout the development of pandas. Optional libraries below the lowest tested version may still work, but are not considered supported. 16 Chapter 1 environment is like a virtualenv that allows you to specify a specific version of Python and set of libraries. Run the following commands from a terminal window: conda create -n name_of_my_env python This

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 855 2.22.4 Use other libraries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 856 2.23 Sparse environment is like a virtualenv that allows you to specify a specific version of Python and set of libraries. Run the following commands from a terminal window: conda create -n name_of_my_env python This encounter an ImportError, it usually means that Python couldn’t find pandas in the list of available libraries. Python internally has a list of directories it searches through, to find packages. You can obtain

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 855 2.22.4 Use other libraries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 856 2.23 Sparse environment is like a virtualenv that allows you to specify a specific version of Python and set of libraries. Run the following commands from a terminal window: conda create -n name_of_my_env python This encounter an ImportError, it usually means that Python couldn’t find pandas in the list of available libraries. Python internally has a list of directories it searches through, to find packages. You can obtain

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 916 2.24.4 Use other libraries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 917 2.25 Sparse environment is like a virtualenv that allows you to specify a specific version of Python and set of libraries. Run the following commands from a terminal window: conda create -n name_of_my_env python This encounter an ImportError, it usually means that Python couldn’t find pandas in the list of available libraries. Python internally has a list of directories it searches through, to find packages. You can obtain

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 954 2.24.4 Use other libraries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 956 2.25 Sparse data environment is like a virtualenv that allows you to specify a specific version of Python and set of libraries. Run the following commands from a terminal window: conda create -n name_of_my_env python This encounter an ImportError, it usually means that Python couldn’t find pandas in the list of available libraries. Python internally has a list of directories it searches through, to find packages. You can obtain

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 955 2.24.4 Use other libraries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 957 2.25 Sparse data environment is like a virtualenv that allows you to specify a specific version of Python and set of libraries. Run the following commands from a terminal window: conda create -n name_of_my_env python This encounter an ImportError, it usually means that Python couldn’t find pandas in the list of available libraries. Python internally has a list of directories it searches through, to find packages. You can obtain

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 863 2.24.4 Use other libraries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 865 2.25 Sparse environment is like a virtualenv that allows you to specify a specific version of Python and set of libraries. Run the following commands from a terminal window: conda create -n name_of_my_env python This encounter an ImportError, it usually means that Python couldn’t find pandas in the list of available libraries. Python internally has a list of directories it searches through, to find packages. You can obtain

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 863 2.24.4 Use other libraries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 865 2.25 Sparse environment is like a virtualenv that allows you to specify a specific version of Python and set of libraries. Run the following commands from a terminal window: conda create -n name_of_my_env python This encounter an ImportError, it usually means that Python couldn’t find pandas in the list of available libraries. Python internally has a list of directories it searches through, to find packages. You can obtain