jupyter.template.py

%load_ext autoreload
%autoreload 2

import sys
import logging

import numpy as np
import scipy as sp
import sklearn
import statsmodels.api as sm
from statsmodels.formula.api import ols

import matplotlib as mpl
import matplotlib.pyplot as plt

%matplotlib inline
%config InlineBackend.figure_format = 'retina'

import pandas as pd
pd.set_option("display.max_rows", 55)
pd.set_option("display.max_columns", 55)

import seaborn as sns
sns.set_style("whitegrid")
sns.set_context(
    "notebook",
    font_scale=1.2,
    rc={"lines.linewidth": 1.2},
)

def sinplot(flip=1):
    x = np.linspace(0, 14, 100)
    for i in range(1, 7): plt.plot(x, np.sin(x + i * .5) * (7 - i) * flip)

sinplot()