DOC: Inline docstrings in pandas\core\generic.py file for methods: droplevel, to_excel, to_json

Author: wdyy20041223

pandas/core/generic.py

@@ -2400,19 +2400,19 @@ def to_json(
             throw ValueError if incorrect 'orient' since others are not
             list-like.
         compression : str or dict, default 'infer'
-            For on-the-fly compression of the output data. If 'infer' and 'path_or_buf' is
-            path-like, then detect compression from the following extensions: '.gz',
-            '.bz2', '.zip', '.xz', '.zst', '.tar', '.tar.gz', '.tar.xz' or '.tar.bz2'
-            (otherwise no compression).
+            For on-the-fly compression of the output data. If 'infer' and
+            'path_or_buf' is path-like, then detect compression from the
+            following extensions: '.gz', '.bz2', '.zip', '.xz', '.zst', '.tar',
+            '.tar.gz', '.tar.xz' or '.tar.bz2' (otherwise no compression).
             Set to ``None`` for no compression.
             Can also be a dict with key ``'method'`` set
-            to one of {``'zip'``, ``'gzip'``, ``'bz2'``, ``'zstd'``, ``'xz'``, ``'tar'``} and
-            other key-value pairs are forwarded to
+            to one of {``'zip'``, ``'gzip'``, ``'bz2'``, ``'zstd'``, ``'xz'``,
+            ``'tar'``} and other key-value pairs are forwarded to
             ``zipfile.ZipFile``, ``gzip.GzipFile``,
             ``bz2.BZ2File``, ``zstandard.ZstdCompressor``, ``lzma.LZMAFile`` or
             ``tarfile.TarFile``, respectively.
-            As an example, the following could be passed for faster compression and to create
-            a reproducible gzip archive:
+            As an example, the following could be passed for faster compression
+            and to create a reproducible gzip archive:
             ``compression={'method': 'gzip', 'compresslevel': 1, 'mtime': 1}``.
 
             .. versionadded:: 1.5.0