BUG: Printing of a pandas Series of complex numbers with e-notation has broken between 2.0.x and older versions and the newer 2.1.x, 2.2.x versions

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Reproducible Example

import pandas as pd
input_array = [(1.8816e-09+0j), (3.39676e-09+0j)]
print("input_array=\n", input_array)
print("pd.Series(input_array)=\n", pd.Series(input_array))

Issue Description

We use the pandas Series method to store a list of complex numbers but when upgrading from the pandas 1.3, 1.5, or 2.0 versions we are seeing a regression issue where in pandas 2.1.x and 2.2.x and latest 2.2.3 version the print out is adding extra white space to the imaginary value's e-notation portion.

example: import pandas as pd input_array = [(1.8816e-09+0j), (3.39676e-09+0j)] print("input_array=\n", input_array) print("pd.Series(input_array)=\n", pd.Series(input_array))

For example in pandas 1.3, 1.5, 2.0.3 we see the following output that we expect from the following example:

input_array= [(1.8816e-09+0j), (3.39676e-09+0j)] pd.Series(input_array)= 0 1.881600e-09+0.000000e+00j 1 3.396760e-09+0.000000e+00j dtype: complex128

But now in pandas version 2.1.x, 2.2.x, and latest 2.2.3 we are getting the output instead: input_array= [(1.8816e-09+0j), (3.39676e-09+0j)] pd.Series(input_array)= 0 1.881600e-09+0.000000e+ 00j 1 3.396760e-09+0.000000e+ 00j dtype: complex128

Thanks.

Expected Behavior

The expected output is the following: input_array= [(1.8816e-09+0j), (3.39676e-09+0j)] pd.Series(input_array)= 0 1.881600e-09+0.000000e+00j 1 3.396760e-09+0.000000e+00j dtype: complex128

Where the +0j portion of the complex value is printed as +0.000000e+00j not what it is printed now as: 0.000000e+ 00j

Installed Versions

INSTALLED VERSIONS ------------------ commit : 0691c5cf90477d3503834d983f69350f250a6ff7 python : 3.12.2 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.19045 machine : AMD64 processor : Intel64 Family 6 Model 141 Stepping 1, GenuineIntel byteorder : little LC_ALL : None LANG : None LOCALE : English_United States.1252 pandas : 2.2.3 numpy : 1.26.4 pytz : 2024.2 dateutil : 2.9.0.post0 pip : 24.2 Cython : None sphinx : None IPython : None adbc-driver-postgresql: None adbc-driver-sqlite : None bs4 : None blosc : None bottleneck : None dataframe-api-compat : None fastparquet : None fsspec : None html5lib : None hypothesis : None gcsfs : None jinja2 : 3.1.4 lxml.etree : None matplotlib : None numba : None numexpr : None odfpy : None openpyxl : None pandas_gbq : None psycopg2 : None pymysql : None pyarrow : None pyreadstat : None pytest : 8.3.3 python-calamine : None pyxlsb : None s3fs : None scipy : None sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None xlsxwriter : None zstandard : None tzdata : 2024.2 qtpy : None pyqt5 : None

Thanks

pandas-dev / pandas