Pandas BUG: reset_index() Fails on a Series/DataFrame Object that has "False" (bool type) as the Index Name

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Code Sample, a copy-pastable example

import pandas as pd

# Works
df1 = pd.Series(data=range(5, 10), index=range(0, 5))
df1.index.name = 'False'
df1.reset_index()

# Fails
df2 = pd.Series(data=range(5, 10), index=range(0, 5))
df2.index.name = False
df2.reset_index()

# Works
df1 = pd.DataFrame(data=range(5, 10), index=range(0, 5))
df1.index.name = 'False'
df1.reset_index()

# Fails
df2 = pd.DataFrame(data=range(5, 10), index=range(0, 5))
df2.index.name = False
df2.reset_index()

Stacktrace:

--------------------------------------------------------------------------- ValueError Traceback (most recent call last) in 9 df2 = pd.Series(data=range(5, 10), index=range(0, 5)) 10 df2.index.name = False ---> 11 df2.reset_index() ~\Miniconda3\envs\vectorbt\lib\site-packages\pandas\core\series.py in reset_index(self, level, drop, name, inplace) 1340 else: 1341 df = self.to_frame(name) -> 1342 return df.reset_index(level=level, drop=drop) 1343 1344 # ---------------------------------------------------------------------- ~\Miniconda3\envs\vectorbt\lib\site-packages\pandas\core\frame.py in reset_index(self, level, drop, inplace, col_level, col_fill) 4602 # to ndarray and maybe infer different dtype 4603 level_values = _maybe_casted_values(lev, lab) -> 4604 new_obj.insert(0, name, level_values) 4605 4606 new_obj.index = new_index ~\Miniconda3\envs\vectorbt\lib\site-packages\pandas\core\frame.py in insert(self, loc, column, value, allow_duplicates) 3494 self._ensure_valid_index(value) 3495 value = self._sanitize_column(column, value, broadcast=False) -> 3496 self._data.insert(loc, column, value, allow_duplicates=allow_duplicates) 3497 3498 def assign(self, **kwargs) -> "DataFrame": ~\Miniconda3\envs\vectorbt\lib\site-packages\pandas\core\internals\managers.py in insert(self, loc, item, value, allow_duplicates) 1171 if not allow_duplicates and item in self.items: 1172 # Should this be a different kind of error?? -> 1173 raise ValueError(f"cannot insert {item}, already exists") 1174 1175 if not isinstance(loc, int): ValueError: cannot insert False, already exists

Problem description

Pandas index names support multiple object types as opposed to just str. I presume that the intention was that an index name is never anything other than a string, but I can only speculate. Interestingly enough, I did not encounter this issue on a DataFrame. This leads me to believe that the issue has to do with

I originally encountered this bug when loading data from a csv that had a header of False. Perhaps a clean enough work-around is to convert headers to strings when loading from any file type?

Expected Output

The index reset without the ValueError. It should match df1's output.

Output of `pd.show_versions()`

INSTALLED VERSIONS ------------------ commit : None python : 3.8.5.final.0 python-bits : 64 OS : Windows OS-release : 10 machine : AMD64 processor : Intel64 Family 6 Model 142 Stepping 10, GenuineIntel byteorder : little LC_ALL : None LANG : None LOCALE : English_United States.1252 pandas : 1.0.5 numpy : 1.19.1 pytz : 2020.1 dateutil : 2.8.1 pip : 20.1.1 setuptools : 49.2.0.post20200712 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : 2.11.2 IPython : 7.16.1 pandas_datareader: None bs4 : None bottleneck : None fastparquet : None gcsfs : None lxml.etree : None matplotlib : 3.3.0 numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : None pytables : None pytest : None pyxlsb : None s3fs : None scipy : 1.5.2 sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None xlwt : None xlsxwriter : None numba : 0.50.1

Comment From: phofl

Hi,

thanks for your report. The problem lies in insert. Your DataFrame has a column 0. Unfortunately False == 0 evaluates to True. I do not know if this is trivial to fix.