master .github ci doc examples licences seaborn _core _marks _stats colors external __init__.py _base.py _compat.py _docstrings.py _statistics.py _testing.py algorithms.py axisgrid.py categorical.py cm.py distributions.py matrix.py
plot:: :context: close-figs >>> import pandas as pd >>> x = pd.Series(x, name="x variable") >>> ax = sns.distplot(x) Plot the distribution with a kernel density estimate and rug plot: .. plot:: :context: close-figs >>> ax = sns.distplot(x, rug=True, hist=False)...
"" from numbers import Number from functools import partial import math import textwrap import warnings import numpy as np import pandas as pd import matplotlib as mpl import matplotlib.pyplot as plt import matplotlib.transforms as tx from matplotlib.colors import to_rgba from matplotlib.collections...
"" from numbers import Number from functools import partial import math import textwrap import warnings import numpy as np import pandas as pd import matplotlib as mpl import matplotlib.pyplot as plt import matplotlib.transforms as tx from matplotlib.colors import to_rgba from matplotlib.collect...