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DiscussionForumPosting:
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      headline:BUG/API: Indexes on empty frames/series should be RangeIndex, are Index[object]
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python >>> import pandas as pd >>> pd.DataFrame([1]).index RangeIndex(start=0, stop=1, step=1) # ok >>> pd.DataFrame().index Index([], dtype='object') # not ok >>> pd.Series([1]).index RangeIndex(start=0, stop=1, step=1) # ok >>> pd.Series([]).index RangeIndex(start=0, stop=0, step=1) # ok >>> pd.Series().index Index([], dtype='object') # not ok ``` ### Issue Description When users don't specify indexes, pandas infers the index type for them. It infers to be a `RangeIndex`, except when the frame/series is emtpy, then the index is inferred to be a `Index[object]`. The type of index should be consistently RangeIndex, when users don't declare the index. Same for columns. ### Expected Behavior Empty frames/series should have index/columns like `RangeIndex(0)` instead an empty object index. Found working on #49560. ### Installed Versions <details> NSTALLED VERSIONS ------------------ commit : 527be722a2be7c94573c86a57ece6556d084a4fc python : 3.9.7.final.0 python-bits : 64 OS : Darwin OS-release : 21.6.0 Version : Darwin Kernel Version 21.6.0: Wed Aug 10 14:28:35 PDT 2022; root:xnu-8020.141.5~2/RELEASE_ARM64_T8101 machine : arm64 processor : arm byteorder : little LC_ALL : None LANG : None LOCALE : None.UTF-8 pandas : 2.0.0.dev0+593.g527be722a2 numpy : 1.23.3 pytz : 2022.1 dateutil : 2.8.2 setuptools : 65.5.0 pip : 22.2.2 Cython : 0.29.32 pytest : 7.1.2 hypothesis : 6.37.0 sphinx : 5.0.2 blosc : 1.10.6 feather : None xlsxwriter : None lxml.etree : 4.9.1 html5lib : None pymysql : 1.0.2 psycopg2 : 2.9.3 jinja2 : 3.1.2 IPython : 7.29.0 pandas_datareader: None bs4 : 4.11.1 bottleneck : None brotli : fastparquet : 0.8.3 fsspec : 2022.10.0 gcsfs : None matplotlib : 3.5.2 numba : 0.56.4 numexpr : 2.8.3 odfpy : None openpyxl : None pandas_gbq : None pyarrow : 10.0.0 pyreadstat : None pyxlsb : None s3fs : 2022.10.0 scipy : 1.9.1 snappy : None sqlalchemy : None tables : 3.7.0 tabulate : 0.9.0 xarray : None xlrd : None zstandard : 0.18.0 tzdata : None </details>
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      headline:BUG/API: Indexes on empty frames/series should be RangeIndex, are Index[object]
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python >>> import pandas as pd >>> pd.DataFrame([1]).index RangeIndex(start=0, stop=1, step=1) # ok >>> pd.DataFrame().index Index([], dtype='object') # not ok >>> pd.Series([1]).index RangeIndex(start=0, stop=1, step=1) # ok >>> pd.Series([]).index RangeIndex(start=0, stop=0, step=1) # ok >>> pd.Series().index Index([], dtype='object') # not ok ``` ### Issue Description When users don't specify indexes, pandas infers the index type for them. It infers to be a `RangeIndex`, except when the frame/series is emtpy, then the index is inferred to be a `Index[object]`. The type of index should be consistently RangeIndex, when users don't declare the index. Same for columns. ### Expected Behavior Empty frames/series should have index/columns like `RangeIndex(0)` instead an empty object index. Found working on #49560. ### Installed Versions <details> NSTALLED VERSIONS ------------------ commit : 527be722a2be7c94573c86a57ece6556d084a4fc python : 3.9.7.final.0 python-bits : 64 OS : Darwin OS-release : 21.6.0 Version : Darwin Kernel Version 21.6.0: Wed Aug 10 14:28:35 PDT 2022; root:xnu-8020.141.5~2/RELEASE_ARM64_T8101 machine : arm64 processor : arm byteorder : little LC_ALL : None LANG : None LOCALE : None.UTF-8 pandas : 2.0.0.dev0+593.g527be722a2 numpy : 1.23.3 pytz : 2022.1 dateutil : 2.8.2 setuptools : 65.5.0 pip : 22.2.2 Cython : 0.29.32 pytest : 7.1.2 hypothesis : 6.37.0 sphinx : 5.0.2 blosc : 1.10.6 feather : None xlsxwriter : None lxml.etree : 4.9.1 html5lib : None pymysql : 1.0.2 psycopg2 : 2.9.3 jinja2 : 3.1.2 IPython : 7.29.0 pandas_datareader: None bs4 : 4.11.1 bottleneck : None brotli : fastparquet : 0.8.3 fsspec : 2022.10.0 gcsfs : None matplotlib : 3.5.2 numba : 0.56.4 numexpr : 2.8.3 odfpy : None openpyxl : None pandas_gbq : None pyarrow : 10.0.0 pyreadstat : None pyxlsb : None s3fs : 2022.10.0 scipy : 1.9.1 snappy : None sqlalchemy : None tables : 3.7.0 tabulate : 0.9.0 xarray : None xlrd : None zstandard : 0.18.0 tzdata : None </details>
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