Description
Code Sample, a copy-pastable example if possible
# Your code here
import pandas as pd
df = pd.DataFrame({'A': [1,2,3], 'B': [4,5,6], 'C': [7,8,9] })
df.to_json(orient='table', index='False')Problem description
I was attempting to serialize a dataframe and omit the indexes.
In the generated JSON the indexes remained and the pandas_version value in the JSON was "0.20.0"
The results I obtained on Windows 10 and MacOS 10.14.5 was:
{"schema": {"fields":[{"name":"values","type":"integer"},{"name":"A","type":"integer"},{"name":"B","type":"integer"},{"name":"C","type":"integer"}],"primaryKey":[null],"pandas_version":"0.20.0"}, "data": [{"index":0,"A":1,"B":4,"C":7},{"index":1,"A":2,"B":5,"C":8},{"index":2,"A":3,"B":6,"C":9}]}'
[this should explain why the current behaviour is a problem and why the expected output is a better solution.]
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Expected Output
{"schema": {"fields":[{"name":"values","type":"integer"},{"name":"A","type":"integer"},{"name":"B","type":"integer"},{"name":"C","type":"integer"}],"primaryKey":[null],"pandas_version":"0.24.2"}, "data": [{"A":1,"B":4,"C":7},{"A":2,"B":5,"C":8},{"A":3,"B":6,"C":9}]}'
Output of pd.show_versions()
[paste the output of pd.show_versions() here below this line]
INSTALLED VERSIONS
commit: None
python: 3.7.3.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 69 Stepping 1, GenuineIntel
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: None.None
pandas: 0.24.2
pytest: 4.3.1
pip: 19.0.3
setuptools: 40.8.0
Cython: 0.29.6
numpy: 1.16.2
scipy: 1.2.1
pyarrow: None
xarray: None
IPython: 7.4.0
sphinx: 1.8.5
patsy: 0.5.1
dateutil: 2.8.0
pytz: 2018.9
blosc: None
bottleneck: 1.2.1
tables: 3.5.1
numexpr: 2.6.9
feather: None
matplotlib: 3.0.3
openpyxl: 2.6.1
xlrd: 1.2.0
xlwt: 1.3.0
xlsxwriter: 1.1.5
lxml.etree: 4.3.2
bs4: 4.7.1
html5lib: 1.0.1
sqlalchemy: 1.3.1
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None