python for data science! #Datascience #Python

python for data science! #Datascience #Python

• 1.
  www.1stepgrow.com SEABORN PYTHON FOR PYTHON FOR DATASCIENCE DATA SCIENCE CHEAT SHEET PART- 2
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  www.1stepgrow.com >>> import pandasas pd >>> import numpy as np >>> uniform_data = np.random.rand(10, 12) >>> data = pd.DataFrame({'x':np.arange(1,101), 'y':np.random.normal(0,4,100)}) Seaborn also offers built-in data sets: >>> titanic = sns.load_dataset("titanic") >>> iris = sns.load_dataset("iris") Data
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  www.1stepgrow.com >>> f, ax= plt.subplots(figsize=(5,6)) >>> sns.set() >>> sns.set_style("whitegrid") >>> sns.set_style("ticks", {"xtick.major.size":8, "ytick.major.size":8}) >>> sns.axes_style("whitegrid") Create a figure and one subplot (Re)set the seaborn default Set the matplotlib parameters Set the matplotlib parameters Return a dict of params or use with temporarily set of the style Seaborn Style Figure Aesthetics
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  www.1stepgrow.com >>> sns.set_context("talk") >>> sns.set_palette("husl",3) >>>sns.set_palette(flatui) >>> flatui = "#9b59b6", "#3498db", "#95a5a6","#e74c3c","#34495e", "#2ecc71"] >>> sns.color_palette("husl") >>> sns.set_context("notebook", font_scale=1.5, rc= {"lines.linewidth":2.5}) Set context to "talk" Define the color palette Set your own color palette Use with with to temporarily set palette Set context to "notebook", Scale font elements andoverride param mapping Seaborn styles Context Functions Color Palette
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  www.1stepgrow.com Build your careerstory with 1stepGrow Academy Follow 1stepGrow Academy Save the Post Share your Comments