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added 'separator' argument to json_normalize #14949

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added 'separator' argument to json_normalize #14949

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11 changes: 7 additions & 4 deletions pandas/io/json.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,8 +24,8 @@ def to_json(path_or_buf, obj, orient=None, date_format='epoch',
default_handler=None, lines=False):

if lines and orient != 'records':
raise ValueError(
"'lines' keyword only valid when 'orient' is records")
raise ValueError(
"'lines' keyword only valid when 'orient' is records")

if isinstance(obj, Series):
s = SeriesWriter(
Expand Down Expand Up @@ -726,8 +726,8 @@ def nested_to_record(ds, prefix="", level=0):
def json_normalize(data, record_path=None, meta=None,
meta_prefix=None,
record_prefix=None,
separator='.',
errors='raise'):

"""
"Normalize" semi-structured JSON data into a flat table

Expand All @@ -744,6 +744,9 @@ def json_normalize(data, record_path=None, meta=None,
If True, prefix records with dotted (?) path, e.g. foo.bar.field if
path to records is ['foo', 'bar']
meta_prefix : string, default None
separator : string, default '.'
Nested records will generate names separated by separator,
e.g., for separator='.', { 'foo' : { 'bar' : 0 } } -> foo.bar
errors : {'raise', 'ignore'}, default 'raise'
* ignore : will ignore KeyError if keys listed in meta are not
always present
Expand Down Expand Up @@ -828,7 +831,7 @@ def _pull_field(js, spec):
lengths = []

meta_vals = defaultdict(list)
meta_keys = ['.'.join(val) for val in meta]
meta_keys = [separator.join(val) for val in meta]

def _recursive_extract(data, path, seen_meta, level=0):
if len(path) > 1:
Expand Down