ebressert

import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns

# Overwriting colab color scheme
sns.set_style("white")

def gen(n=40):
    return np.random.normal(size=n)

ebressert

def column_cleaner(df, inplace=False):
    """
    Clean up column names where white spaces are trimmed and replaced. 
    All column names are lowercased for sanity. 
    """
    orig_cols = df.columns
    new_cols = []
    
    for col in orig_cols:
        new_cols.append("".join([c if c.isalnum() else "_" for c in col.strip()]).lower())

ebressert

import seaborn as sns
from scipy.optimize import curve_fit

# Function for linear fit
def func(x, a, b):
    return a + b * x

# Seaborn conveniently provides the data for
# Anscombe's quartet.
df = sns.load_dataset("anscombe")

ebressert

import colorsys
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline

def alter(alist, col, factor=1.1):
    tmp = np.array(alist)
    tmp[:,col] = tmp[:,col] * factor
    tmp[tmp > 1] = 1