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# Import libraries
from cycler import cycler
from matplotlib import pyplot as plt
import numpy as np
import pandas as pd
import scipy as sp
from datetime import datetime as dt
# Check versions
from matplotlib import __version__ as mpl_version
from cycler import __version__ as cycler_version
print('Pandas: ', pd.__version__)
print('Matplotlib:', mpl_version)
print('Cycler: ', cycler_version)
print('Numpy: ', np.__version__)
print('Scipy: ', sp.__version__)
# Define custom colors
blue = '#2343aa88'
red = '#c80533d1'
green = '#23aa4388'
black = '#000000'
orange = '#ff7f2abb'
# Setup colors and linestyles for figures
linestyles = ['-', '--', ':','-.']
colors = [blue, green, red, black]
color_cycle = []
for color in colors:
color_cycle.extend([color]*len(linestyles))
linestyle_cycle = linestyles * len(colors)
plt.rc('axes', prop_cycle=(cycler('color', color_cycle) + cycler('linestyle', linestyle_cycle)))
# Set default figure size
plt.rcParams["figure.figsize"] = (7,4)
# Print compile date:
print('')
print(f'Notebook version: {dt.now()}')