Description
Pandas version checks
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import numpy as np
import pandas as pd
def main():
# create a data frame
# dtypes must be the same for the issue to occur
data = {'x': np.arange(8, dtype=np.int64), 'y': np.int64(0)}
df = pd.DataFrame(data)
# These next three lines are necessary to produce the issue.
df = df.copy()
data = df['y']
df.iat[7, df.columns.get_loc('x')] = 9999
# set the last row of column y to a desired value
df.iat[7, df.columns.get_loc('y')] = 1234
# compare get values for at and iat
atValue = df.at[7, 'y']
iatValue = df.iat[7, df.columns.get_loc('y')]
print(iatValue, atValue, iatValue == atValue)
# inspect data
print("\nThe DataFrame:")
print(df)
print("\nLabel Based:")
print(df['y'])
print("\nInteger Based:")
print(df.iloc[:, df.columns.get_loc('y')])
if __name__ == '__main__':
main()Issue Description
In the above example, a value of 1234 was set to the last row in column 'y' using an integer based method of indexing. However, if using a label based method of indexing to view the values, it returns the original value of 0 instead of 1234. This issue does not occur on pandas version 1.3.5.
1234 0 False
The DataFrame:
x y
0 0 0
1 1 0
2 2 0
3 3 0
4 4 0
5 5 0
6 6 0
7 9999 1234
Label Based:
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
Name: y, dtype: int64
Integer Based:
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 1234
Name: y, dtype: int64
Expected Behavior
The label based method returns the correct value.
Installed Versions
INSTALLED VERSIONS
commit : bb1f651
python : 3.9.10.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.17763
machine : AMD64
processor : Intel64 Family 6 Model 142 Stepping 12, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United States.1252
pandas : 1.4.0
numpy : 1.22.1
pytz : 2021.3
dateutil : 2.8.2
pip : 21.3.1
setuptools : 60.5.0
Cython : 0.29.26
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.7.1
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : 1.3.2
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : 3.5.1
numba : 0.53.1
numexpr : None
odfpy : None
openpyxl : 3.0.9
pandas_gbq : None
pyarrow : 6.0.1
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.7.3
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None