Closed
Description
-
I have checked that this issue has not already been reported.
-
I have confirmed this bug exists on the latest version of pandas.
-
I have confirmed this bug exists on the master branch of pandas.
Reproducible Example
import io
import numpy as np
import pandas as pd
DATA = """\
id\tnum\n
1\t1.2 \n
1\t 2.1\n
2\t 1 \n
2\t 1.2 \n
"""
df = pd.read_csv(
io.StringIO(DATA),
float_precision="round_trip", skipinitialspace=True,
sep="\t", header=0,
dtype={1: np.float64},
)
print(df)Issue Description
read_csv(..., float_precision="round_trip", ) does parse fields with initial/trailing space and raises and error
Traceback (most recent call last):
File "pandas/_libs/parsers.pyx", line 1141, in pandas._libs.parsers.TextReader._convert_tokens
false_values=false_values)
TypeError: Cannot cast array data from dtype('O') to dtype('float64') according to the rule 'safe'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/ales/.config/JetBrains/PyCharmCE2021.2/scratches/scratch_2.py", line 14, in <module>
df = pd.read_csv(
File "/home/ales/.envs/orange3/lib/python3.9/site-packages/pandas/io/parsers.py", line 686, in read_csv
return _read(filepath_or_buffer, kwds)
File "/home/ales/.envs/orange3/lib/python3.9/site-packages/pandas/io/parsers.py", line 458, in _read
data = parser.read(nrows)
File "/home/ales/.envs/orange3/lib/python3.9/site-packages/pandas/io/parsers.py", line 1196, in read
ret = self._engine.read(nrows)
File "/home/ales/.envs/orange3/lib/python3.9/site-packages/pandas/io/parsers.py", line 2155, in read
data = self._reader.read(nrows)
File "pandas/_libs/parsers.pyx", line 847, in pandas._libs.parsers.TextReader.read
cdef:
File "pandas/_libs/parsers.pyx", line 862, in pandas._libs.parsers.TextReader._read_low_memory
else:
File "pandas/_libs/parsers.pyx", line 941, in pandas._libs.parsers.TextReader._read_rows
self.parser.line_fields[i] + \
File "pandas/_libs/parsers.pyx", line 1073, in pandas._libs.parsers.TextReader._convert_column_data
col_res, na_count = self._convert_with_dtype(
File "pandas/_libs/parsers.pyx", line 1149, in pandas._libs.parsers.TextReader._convert_tokens
ValueError: cannot safely convert passed user dtype of float64 for object dtyped data in column 1
Expected Behavior
float_precision="round_trip" should work the same as other float parsers.
Installed Versions
INSTALLED VERSIONS
------------------
commit : e218f059caaf5d921c4c71b7a7889adfe6c74b9d
python : 3.9.7.final.0
python-bits : 64
OS : Linux
OS-release : 5.14.2-1-MANJARO
Version : #1 SMP PREEMPT Wed Sep 8 14:11:01 UTC 2021
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.4.0.dev0+497.ge218f059ca
numpy : 1.21.2
pytz : 2021.1
dateutil : 2.8.2
pip : 21.1.3
setuptools : 56.0.0
Cython : 0.29.24
pytest : 6.2.5
hypothesis : 6.21.6
sphinx : None
blosc : None
feather : None
xlsxwriter : 3.0.1
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.0.1
IPython : 7.26.0
pandas_datareader: None
bs4 : None
bottleneck : 1.3.2
fsspec : None
fastparquet : None
gcsfs : None
matplotlib : 3.4.3
numexpr : None
odfpy : None
openpyxl : 3.0.7
pandas_gbq : None
pyarrow : None
pyxlsb : None
s3fs : None
scipy : 1.7.1
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : 2.0.1
xlwt : None
numba : None