!pip install colorlover
# Successfully installed colorlover-0.3.0
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import pandas_profiling
import plotly
import plotly.graph_objects as go
from sklearn.preprocessing import MinMaxScaler
import colorlover as cl
from IPython.display import HTML
pd.set_option('display.max_rows', 500)
pd.set_option('display.max_columns', 500)
import warnings
warnings.filterwarnings("ignore")
%matplotlib inline
blues = cl.scales['9']['seq']['Blues']
HTML(cl.to_html(blues))
blues500 = cl.interp(blues, 500) # Map color scale to 500 bins
HTML(cl.to_html(blues500))
# get custome colorscale "deepblues"
deepblues = []
for i in range(9):
deepblues.append(blues500[-1-int(250/9*i)])
deepblues = deepblues[::-1]
HTML(cl.to_html(deepblues))