Matplotlib scatter plot example

    • [PDF File]Let's try some random projections of the data

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      In [30]: rng = np.random.RandomState(1) X = np.dot(rng.rand(2, 2), rng.randn(2, 200)).T plt.scatter(X[:, 0], X[:, 1]) plt.axis('equal'); In [32]: pca = PCA(n ...


    • [PDF File]pandas

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      Plot Returns 9 Visualize Quintile Correlation with scatter_matrix 10 ... Styling the plot 49 Plot on an existing matplotlib axis 50 Chapter 15: Grouping Data 51 Examples 51 Basic grouping 51 Group by one column 51. ... Datareader basic example (Yahoo Finance) 100 Reading financial data (for multiple tickers) into pandas panel - demo 101


    • [PDF File]PYTHON MACHINE LEARNING

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      import matplotlib.pyplot as plt import seaborn as sns sns.set_style('whitegrid') %matplotlib inline from sklearn.datasets import load_boston boston = load_boston() print boston.DESCR provides a detailed description of the 506 Boston dataset records Quick visualization of the data: Histogram of prices (this is the target of our dataset)


    • [PDF File]Matplotlib - Tutorialspoint

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      Matplotlib 10 Bar Make a bar plot. Barh Make a horizontal bar plot. Boxplot Make a box and whisker plot. Hist Plot a histogram. hist2d Make a 2D histogram plot. Pie Plot a pie chart. Plot Plot lines and/or markers to the Axes. Polar Make a polar plot. Scatter Make a scatter plot of x vs y. Stackplot Draws a stacked area plot.


    • [PDF File]Chapter Plotting Data using 4 Matplotlib

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      In Programs 4-1 and 4-2, we learnt that the plot() function of the pyplot module of matplotlib can be used to plot a chart. However, starting from version 0.17.0, Pandas objects Series and DataFrame come equipped with their own .plot() methods. This plot() method is just a simple wrapper around the plot() function of pyplot.


    • [PDF File]Python Data Science Handbook

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      Example: What Is the Average Height of US Presidents? ... Scatter Plots with plt.plot 233 Scatter Plots with plt.scatter 235 ... Matplotlib Resources …


    • [PDF File]Seaborn - Tutorialspoint

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      Matplotlib library highly supports customization, but knowing what settings to tweak to achieve an attractive and anticipated plot is what one should be aware of to make use of it. Unlike Matplotlib, Seaborn comes packed with customized themes and a high-level interface for customizing and controlling the look of Matplotlib figures. Example


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