data frames. This feature requires 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 writing blosc Compression for msgpack fastparquet 0.2.1 Parquet reading / writing gcsfs 0.2.2 Google Cloud Storage access html5lib HTML parser for read_html (see note) lxml 3.8.0 HTML parser for read_html rendered with WebGL and D3.js. The library supports plotting directly from a pandas DataFrame and cloud-based collaboration. Users of matplotlib, ggplot for Python, and Seaborn can convert figures into

data frames. This feature requires 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 writing blosc Compression for msgpack fastparquet 0.2.1 Parquet reading / writing gcsfs 0.2.2 Google Cloud Storage access html5lib HTML parser for read_html (see note) lxml 3.8.0 HTML parser for read_html rendered with WebGL and D3.js. The library supports plotting directly from a pandas DataFrame and cloud-based collaboration. Users of matplotlib, ggplot for Python, and Seaborn can convert figures into

toolkit, Release 1.3.2 Access data in the cloud Dependency Minimum 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 by fsspec, if installed, and its various filesystem implemen- tations (including Amazon S3, Google Cloud, SSH, FTP, webHDFS...). Some of these implementations will require additional packages to be installed download query results quickly, but at an increased cost. To use this API, first enable it in the Cloud Con- sole. You must also have the bigquery.readsessions.create permission on the project you are billing

Windows Failed Failed Access data in the cloud Dependency Minimum 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 by fsspec, if installed, and its various filesystem implemen- tations (including Amazon S3, Google Cloud, SSH, FTP, webHDFS...). Some of these implementations will require additional packages to be installed download query re- sults quickly, but at an increased cost. To use this API, first enable it in the Cloud Console. You must also have the bigquery.readsessions.create permission on the project you are billing

Windows Failed Failed Access data in the cloud Dependency Minimum 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 by fsspec, if installed, and its various filesystem implemen- tations (including Amazon S3, Google Cloud, SSH, FTP, webHDFS...). Some of these implementations will require additional packages to be installed download query re- sults quickly, but at an increased cost. To use this API, first enable it in the Cloud Console. You must also have the bigquery.readsessions.create permission on the project you are billing

writing blosc Compression for HDF5 fastparquet 0.3.2 Parquet reading / writing gcsfs 0.2.2 Google Cloud Storage access html5lib HTML parser for read_html (see note) Continued on next page 46 Chapter download query results quickly, but at an increased cost. To use this API, first enable it in the Cloud Con- sole. You must also have the bigquery.readsessions.create permission on the project you are billing This feature requires version 0.10.0 or later of the pandas-gbq package. It also requires the google-cloud-bigquery-storage and fastavro packages. New in version 0.25.0. progress_bar_type [Optional, str]

files 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 by fsspec, if installed, and its various filesystem implemen- tations (including Amazon S3, Google Cloud, SSH, FTP, webHDFS...). Some of these implementations will require additional packages to be installed download query results quickly, but at an increased cost. To use this API, first enable it in the Cloud Con- sole. You must also have the bigquery.readsessions.create permission on the project you are billing

files 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 by fsspec, if installed, and its various filesystem implemen- tations (including Amazon S3, Google Cloud, SSH, FTP, webHDFS...). Some of these implementations will require additional packages to be installed download query results quickly, but at an increased cost. To use this API, first enable it in the Cloud Con- sole. You must also have the bigquery.readsessions.create permission on the project you are billing

files 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 download query results quickly, but at an increased cost. To use this API, first enable it in the Cloud Con- sole. You must also have the bigquery.readsessions.create permission on the project you are billing This feature requires version 0.10.0 or later of the pandas-gbq package. It also requires the google-cloud-bigquery-storage and fastavro packages. New in version 0.25.0. max_results [int, optional] If set

files 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 download query results quickly, but at an increased cost. To use this API, first enable it in the Cloud Con- sole. You must also have the bigquery.readsessions.create permission on the project you are billing This feature requires version 0.10.0 or later of the pandas-gbq package. It also requires the google-cloud-bigquery-storage and fastavro packages. New in version 0.25.0. max_results [int, optional] If set