Make spyder act like I want

spyder_startup.py

rom subprocess import call, Popen
import sys
import matplotlib as mpl
import numpy
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd


def npp(precision=4):
    np.set_printoptions(
        precision=precision,
        threshold=1000,
        suppress=True,
        linewidth=120,
        formatter={'float_kind': '{:f}'.format})


def ca():
    plt.close('all')


def ppa(x, digits=3):
    """
    Pretty print numpy array with the given floating point
    precision
    """
    np.savetxt(sys.stdout, x, f'%.{digits}f')


def rec_text(data,
             filename,
             program='c:\\program files\\sublime text 3\\subl.exe'):
    with open(filename, 'w') as f:
        pd.DataFrame.from_records(data).to_string(f)
    if program is not None:
        call([program, filename])


def subl(data=None, ff: str='%.3f', name="c:\\tmp\\subl.txt"):
    """
    convert numpy array into columned text file and open in sublime.

    If data is a string, then it assumes it is a file name and opens
    the file directly.
    """

    if type(data) == str:
        osubl(data)

    if data is not None:
        with open(name, 'w') as f:
            pd.DataFrame.from_records(data).to_string(f, float_format=lambda x: ff % x)
        call(['c:\\program files\\sublime text 3\\subl.exe', name])
    else:
        call(['c:\\program files\\sublime text 3\\subl.exe'])


def osubl(name):
    """
    open file in sublime
    """
    call(['c:\\program files\\sublime text 3\\subl.exe', name])


def excel(data, name='c:\\tmp\\excel.csv'):
    """ convert numpy array into csv and open in Excel"""
    with open(name, 'w') as f:
        pd.DataFrame.from_records(data).to_csv(f)
    Popen([r'C:\Program Files\Microsoft Office\Office15\EXCEL.EXE', name])


def arr(s):
    """ Use the matlab string method to create a 2d array. Works for ints
    and floats only. dtype will be float if any value is a float, otherwise
    dtype will be int.

    Examples
    --------
    >>> arr('1 2 3; 4 5 6')
    array([[1, 2, 3],
           [4, 5, 6]])

    >>> arr('3.')
    array([[3.]]
    """

    def num(x):
        try:
            return int(x)
        except ValueError:
            return float(x)

    rows = s.split(';')
    d = [[num(f) for f in r.lstrip().rstrip().split(' ')] for r in rows]

    return np.array(d)


def pprec(rec: numpy.record) -> None:
    """
    Pretty print a numpy record - each value gets printed as

        key: value

    on a separate line.

    Input
    -----
    rec : numpy.record
    """
    print(rec.pprint())


# no exponentials in axis, I find it unreadable
mpl.rcParams['axes.formatter.useoffset'] = False
npp(4)