What do you want to save?
Add Code snippet
New code examples
-
Python 2021-09-11 04:32:02
classification fuctions
import numpy as np import pandas as pd import matplotlib.pyplot as plt import warnings warnings.filterwarnings('ignore') import seaborn as sns from sklearn.preprocessing import PowerTransformer from sklearn.preprocessing import StandardScaler from sklear... Add solution -
Python 2021-09-09 22:35:02
change each line color as a rainbow python
from matplotlib.pyplot import cm import numpy as np #variable n below should be number of curves to plot #version 1: color=cm.rainbow(np.linspace(0,1,n)) for i,c in zip(range(n),color): plt.plot(x, y,c=c) #or version 2: color=iter(cm.rainbow(np.li... Add solution -
Other 2021-09-08 22:59:02
percentage stacked bar chart sns
# import libraries import seaborn as sns import numpy as np import matplotlib.pyplot as plt import matplotlib.patches as mpatches # load dataset tips = sns.load_dataset("tips") # set the figure size plt.figure(figsize=(14, 14)) # from raw val... Add solution