Pandas DataFrame: to_json() function
DataFrame - to_json() function
The to_json() function is used to convert the object to a JSON string.
Note: NaN's and None will be converted to null and datetime objects will be converted to UNIX timestamps.
Syntax:
DataFrame.to_json(self, path_or_buf=None, orient=None, date_format=None, double_precision=10, force_ascii=True, date_unit='ms', default_handler=None, lines=False, compression='infer', index=True)
Parameters:
Name | Description | Type/Default Value | Required / Optional |
---|---|---|---|
path_or_buf | File path or object. If not specified, the result is returned as a string. | string or file handle | Optional |
orient | Indication of expected JSON string format.
|
string | Required |
date_format | Type of date conversion. ‘epoch’ = epoch milliseconds, ‘iso’ = ISO8601. The default depends on the orient. For orient='table', the default is ‘iso’. For all other orients, the default is ‘epoch’. | {None, ‘epoch’, ‘iso’} | Required |
double_precision | The number of decimal places to use when encoding floating point values. | int Default Value: 10 |
Required |
force_ascii | Force encoded string to be ASCII. | bool Default Value: True |
Required |
date_unit | The time unit to encode to, governs timestamp and ISO8601 precision. One of ‘s’, ‘ms’, ‘us’, ‘ns’ for second, millisecond, microsecond, and nanosecond respectively. | string Default Value: ‘ms’ (milliseconds) |
Required |
default_handler | Handler to call if object cannot otherwise be converted to a suitable format for JSON. Should receive a single argument which is the object to convert and return a serialisable object. | callable Default Value: None |
Required |
lines | If 'orient' is 'records' write out line delimited json format. Will throw ValueError if incorrect 'orient' since others are not list like. | bool Default Value: False |
Required |
compression | A string representing the compression to use in the output file, only used when the first argument is a filename. By default, the compression is inferred from the filename. | {'infer', 'gzip', 'bz2', 'zip', 'xz', None} | Required |
index | Whether to include the index values in the JSON string. Not including the index (index=False) is only supported when orient is ‘split’ or ‘table’. | bool Default Value: True |
Required |
Returns: None or str
If path_or_buf is None, returns the resulting json format as a string. Otherwise returns None.
Example:
Download the Pandas DataFrame Notebooks from here.
Previous: DataFrame - to_excel() function
Next: DataFrame - to_latex() function
It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.
https://w3resource.com/pandas/dataframe/dataframe-to_json.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics