specific methods. For example, pandas. read_hdf() requires the pytables package, while DataFrame.to_markdown() requires the tabulate package. If the optional dependency is not installed, pandas will raise Reading for xlsb files qtpy Clipboard I/O s3fs 0.4.0 Amazon S3 access tabulate 0.8.3 Printing in Markdown-friendly format (see tabulate) xarray 0.8.2 pandas-like API for N-dimensional data xclip Clipboard longtable, or nested table/tabular. to_list() Return a list of the values. to_markdown([buf, mode, index]) Print Series in Markdown-friendly format. to_numpy([dtype, copy, na_value]) A NumPy ndarray representing

specific methods. For example, pandas. read_hdf() requires the pytables package, while DataFrame.to_markdown() requires the tabulate package. If the optional dependency is not installed, pandas will raise Reading for xlsb files qtpy Clipboard I/O s3fs 0.4.0 Amazon S3 access tabulate 0.8.3 Printing in Markdown-friendly format (see tabulate) xarray 0.8.2 pandas-like API for N-dimensional data xclip Clipboard longtable, or nested table/tabular. to_list() Return a list of the values. to_markdown([buf, mode, index]) Print Series in Markdown-friendly format. to_numpy([dtype, copy, na_value]) A NumPy ndarray representing

specific methods. For example, pandas. read_hdf() requires the pytables package, while DataFrame.to_markdown() requires the tabulate package. If the optional dependency is not installed, pandas will raise Reading for xlsb files qtpy Clipboard I/O s3fs 0.4.0 Amazon S3 access tabulate 0.8.3 Printing in Markdown-friendly format (see tabulate) xarray 0.12.3 pandas-like API for N-dimensional data xclip Clipboard nested table/tabular. to_list() Return a list of the values. to_markdown([buf, mode, index, stor- age_options]) Print Series in Markdown-friendly format. to_numpy([dtype, copy, na_value]) A NumPy ndarray

specific methods. For example, pandas. read_hdf() requires the pytables package, while DataFrame.to_markdown() requires the tabulate package. If the optional dependency is not installed, pandas will raise Plotting library Jinja2 2.10 Conditional formatting with DataFrame.style tabulate 0.8.7 Printing in Markdown-friendly format (see tabulate) Computation Depen- dency Minimum Ver- sion Notes SciPy 1.12 nested table/tabular. to_list() Return a list of the values. to_markdown([buf, mode, index, stor- age_options]) Print Series in Markdown-friendly format. to_numpy([dtype, copy, na_value]) A NumPy ndarray

specific methods. For example, pandas.read_hdf() requires the pytables package, while DataFrame.to_markdown() requires the tabulate package. If the optional dependency is not installed, pandas will raise Plotting library Jinja2 2.10 Conditional formatting with DataFrame.style tabulate 0.8.7 Printing in Markdown-friendly format (see tabulate) 1.4. Tutorials 9 pandas: powerful Python data analysis toolkit nested table/tabular. to_list() Return a list of the values. to_markdown([buf, mode, index, storage_options]) Print Series in Markdown-friendly format. to_numpy([dtype, copy, na_value]) A NumPy ndarray

specific methods. For example, pandas.read_hdf() requires the pytables package, while DataFrame.to_markdown() requires the tabulate package. If the optional dependency is not installed, pandas will raise Plotting library Jinja2 2.10 Conditional formatting with DataFrame.style tabulate 0.8.7 Printing in Markdown-friendly format (see tabulate) 1.4. Tutorials 9 pandas: powerful Python data analysis toolkit nested table/tabular. to_list() Return a list of the values. to_markdown([buf, mode, index, storage_options]) Print Series in Markdown-friendly format. to_numpy([dtype, copy, na_value]) A NumPy ndarray

specific methods. For example, pandas. read_hdf() requires the pytables package, while DataFrame.to_markdown() requires the tabulate package. If the optional dependency is not installed, pandas will raise Reading for xlsb files qtpy Clipboard I/O s3fs 0.4.0 Amazon S3 access tabulate 0.8.3 Printing in Markdown-friendly format (see tabulate) xarray 0.12.3 pandas-like API for N-dimensional data xclip Clipboard nested table/tabular. to_list() Return a list of the values. to_markdown([buf, mode, index, stor- age_options]) Print Series in Markdown-friendly format. to_numpy([dtype, copy, na_value]) A NumPy ndarray

specific methods. For example, pandas.read_hdf() requires the pytables package, while DataFrame.to_markdown() requires the tabulate package. If the optional dependency is not installed, pandas will raise Plotting library Jinja2 2.11 Conditional formatting with DataFrame.style tabulate 0.8.7 Printing in Markdown-friendly format (see tabulate) 1.4. Tutorials 9 pandas: powerful Python data analysis toolkit longtable, or nested table. to_list() Return a list of the values. to_markdown([buf, mode, index, storage_options]) Print Series in Markdown-friendly format. to_numpy([dtype, copy, na_value]) A NumPy ndarray

specific methods. For example, pandas.read_hdf() requires the pytables package, while DataFrame.to_markdown() requires the tabulate package. If the optional dependency is not installed, pandas will raise Plotting library Jinja2 2.11 Conditional formatting with DataFrame.style tabulate 0.8.7 Printing in Markdown-friendly format (see tabulate) 1.4. Tutorials 9 pandas: powerful Python data analysis toolkit longtable, or nested table. to_list() Return a list of the values. to_markdown([buf, mode, index, storage_options]) Print Series in Markdown-friendly format. to_numpy([dtype, copy, na_value]) A NumPy ndarray

Converting to Markdown We’ve added to_markdown() for creating a markdown table (GH11052) In [1]: df = pd.DataFrame({"A": [1, 2, 3], "B": [1, 2, 3]}, index=['a', 'a', 'b']) In [2]: print(df.to_markdown()) | | specific methods. For example, pandas. read_hdf() requires the pytables package, while DataFrame.to_markdown() requires the tabulate package. If the optional dependency is not installed, pandas will raise Reading for xlsb files qtpy Clipboard I/O s3fs 0.3.0 Amazon S3 access tabulate 0.8.3 Printing in Markdown-friendly format (see tabulate) xarray 0.8.2 pandas-like API for N-dimensional data xclip Clipboard