Every one of my python scripts, Jupyter notebooks, IPython console sessions, etc has long began with the omnipresent imports and settings override:
#!/usr/bin/env python3
# *_* coding: utf-8 *_*
# author: Graham Duncan
# date: 2020-06-18
"""
module docstring - short summary
If the description is long, the first line should be a short summary that makes sense on its own,
separated from the rest by a newline
"""
import numpy as np
import pandas as pd
pd.set_option('display.width', 1500)
pd.set_option('display.max_columns', 25)
This is a whole lot of shit, and the IDE won’t collapse it all together (and never collapses the settings overrides which is annoying.
So I did a thing, which is probably the wrong thing, but No Ragrets (so far):
I found the declarations of the default settings and just hard coded overrides in (mind you, I already did the actually smart thing of editing startup files for IPython and Jupyter, so don’t @ me.
The file of interest is in the core module of your pandas package, and the file is named config_init.py.
/your-path-to-python-interpreter/python3.8/site-packages/pandas/core/config_init.py
So mine, for instance, is:
/Libary/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/pandas/core/config_init.py
For any (probably ill-advised) fellow travelers out there, if you want to give it a shot..the place where the magic happens is:
with cf.config_prefix("display"):
cf.register_option("precision", 6, pc_precision_doc, validator=is_nonnegative_int)
cf.register_option(
"float_format",
None,
float_format_doc,
validator=is_one_of_factory([None, is_callable]),
)
cf.register_option("column_space", 12, validator=is_int)
cf.register_option(
"max_info_rows",
1690785,
pc_max_info_rows_doc,
validator=is_instance_factory((int, type(None))),
)
cf.register_option("max_rows", 60, pc_max_rows_doc, validator=is_nonnegative_int)
cf.register_option(
"min_rows",
10,
pc_min_rows_doc,
validator=is_instance_factory([type(None), int]),
)
cf.register_option("max_categories", 8, pc_max_categories_doc, validator=is_int)
def _deprecate_negative_int_max_colwidth(key):
value = cf.get_option(key)
if value is not None and value < 0:
warnings.warn(
"Passing a negative integer is deprecated in version 1.0 and "
"will not be supported in future version. Instead, use None "
"to not limit the column width.",
FutureWarning,
stacklevel=4,
)
cf.register_option(
# FIXME: change `validator=is_nonnegative_int`
# in version 1.2
"max_colwidth",
50,
max_colwidth_doc,
validator=is_instance_factory([type(None), int]),
cb=_deprecate_negative_int_max_colwidth,
)
if is_terminal():
max_cols = 25 # automatically determine optimal number of columns
else:
max_cols = 25 # cannot determine optimal number of columns
cf.register_option(
"max_columns", max_cols, pc_max_cols_doc, validator=is_nonnegative_int
)
cf.register_option(
"large_repr",
"truncate",
pc_large_repr_doc,
validator=is_one_of_factory(["truncate", "info"]),
)
cf.register_option("max_info_columns", 100, pc_max_info_cols_doc, validator=is_int)
cf.register_option(
"colheader_justify", "right", colheader_justify_doc, validator=is_text
)
cf.register_option("notebook_repr_html", True, pc_nb_repr_h_doc, validator=is_bool)
cf.register_option("pprint_nest_depth", 3, pc_pprint_nest_depth, validator=is_int)
cf.register_option("multi_sparse", True, pc_multi_sparse_doc, validator=is_bool)
cf.register_option("expand_frame_repr", True, pc_expand_repr_doc)
cf.register_option(
"show_dimensions",
"truncate",
pc_show_dimensions_doc,
validator=is_one_of_factory([True, False, "truncate"]),
)
cf.register_option("chop_threshold", None, pc_chop_threshold_doc)
cf.register_option("max_seq_items", 100, pc_max_seq_items)
cf.register_option(
"width", 1500, pc_width_doc, validator=is_instance_factory([type(None), int])
)
cf.register_option(
"memory_usage",
True,
pc_memory_usage_doc,
validator=is_one_of_factory([None, True, False, "deep"]),
)
cf.register_option(
"unicode.east_asian_width", False, pc_east_asian_width_doc, validator=is_bool
)
cf.register_option(
"unicode.ambiguous_as_wide", False, pc_east_asian_width_doc, validator=is_bool
)
cf.register_option("latex.repr", False, pc_latex_repr_doc, validator=is_bool)
cf.register_option("latex.escape", True, pc_latex_escape, validator=is_bool)
cf.register_option("latex.longtable", False, pc_latex_longtable, validator=is_bool)
cf.register_option(
"latex.multicolumn", True, pc_latex_multicolumn, validator=is_bool
)
cf.register_option(
"latex.multicolumn_format", "l", pc_latex_multicolumn, validator=is_text
)
cf.register_option("latex.multirow", False, pc_latex_multirow, validator=is_bool)
cf.register_option(
"html.table_schema",
False,
pc_table_schema_doc,
validator=is_bool,
cb=table_schema_cb,
)
cf.register_option("html.border", 1, pc_html_border_doc, validator=is_int)
cf.register_option(
"html.use_mathjax", True, pc_html_use_mathjax_doc, validator=is_bool
)You can see I just edited the inline default for max_cols = 25 and the display.width attribute to 1500.
Granted this is probably a bad idea since you’ll have to change this anytime you switch interpreters, use a new venv, or upgrade your pandas version.
But those all sound like problems for another day ¯\_(ツ)_/¯
