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BUG: Pandas 1.1.3 read_csv raises a TypeError when dtype, and index_col are provided, and file has >1M rows #37094
Comments
Possibly caused by #36266 (having some trouble running bisects on my end) problem arises because the default |
I agree, the code here: Is suspicious. |
Confirmed this is a regression compared to 1.0.x. Thanks for the report! |
I can confirm I have the same problem, which arises as soon as I pass the threshold of 1M rows. I only need to specify Pandas 1.1.3 And as a temporary workaround, I am reading without df = pd.read_csv(filepath, nrows=1000001)
df.set_index(0) # for example if I wanted the first column |
I have the same problem. any solution? |
my solution was to downgrade to 1.1.2 and it works. |
more minimal example not involving read_csv
|
I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of pandas.
(optional) I have confirmed this bug exists on the master branch of pandas.
Code Sample, a copy-pastable example
Problem description
When
ROWS = 1000001
, I get the following traceback:Expected Output
With pandas 1.1.2, or ROWS = 1000000, it works fine.
Output of
pd.show_versions()
pandas : 1.1.3
numpy : 1.19.2
pytz : 2020.1
dateutil : 2.8.1
pip : 20.2.3
setuptools : 50.3.0
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : 7.16.1
pandas_datareader: None
bs4 : None
bottleneck : None
fsspec : None
fastparquet : None
gcsfs : None
matplotlib : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
numba : None
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