<jupyter_start><jupyter_text>seaborn.jointplot seaborn.jointplot(x, y, data=None, kind='scatter', stat_func=None, color=None, height=6, ratio=5, space=0.2, dropna=True, xlim=None, ylim=None, joint_kws=None, marginal_kws=None, annot_kws=None, **kwargs)- x, y : Data or names of variables in data.- data : DataFrame when x and y are variable names.<jupyter_code>sns.jointplot(x='petal_length',y = 'sepal_length',data = iris)<jupyter_output><empty_output><jupyter_text>Kind kind -> { “scatter” | “reg” | “resid” | “kde” | “hex” }, optional- Kind of plot to draw.- By default it will be kind -> scatter<jupyter_code>sns.jointplot(x='petal_length',y = 'sepal_length',data = iris,kind = 'reg')
sns.jointplot(x='petal_length',y = 'sepal_length',data = iris,kind = 'resid')
sns.jointplot(x='petal_length',y = 'sepal_length',data = iris,kind =  'kde')
sns.jointplot(x='petal_length',y = 'sepal_length',data = iris,kind =  'hex')
sns.jointplot(x='petal_length',y = 'sepal_length',data = iris,kind =  'kde',color = 'c',space = 0)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.17557251908396945, 'fraction_numerical': 0.004770992366412214, 'mean_word_length': 7.25984251968504, 'pattern_counts': {'":': 0, '<': 9, '<?xml version=': 0, '>': 11, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '616584', 'license': 'MIT', 'n_tokens_mistral': 420, 'n_tokens_neox': 413, 'n_words': 77, 'path': 'Jointplot.ipynb', 'repo_name': 'PraghadeshManivannan/Seaborn', 'size': '1048'}