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MATPLOTLIB PART 3

Matplotlib offers the facility to plot the graphs. Here is a glance over different special plots that can be plotted using Matplotlib.<br>To learn more visit:https://bit.ly/DatascienceCourse<br><br>

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MATPLOTLIB PART 3

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  1. MATPLOTLIB ( PART 3 )

  2. Special plots in Matplotlib

  3. Scatter Plot • Eg: n = 256X = np.random.normal(0,1,n) Y = np.random.normal(0,1,n) plt.scatter(X,Y) • O/P:

  4. Usually we do not use matplotlib for the special plots as it has some limitations.Hence we go for a higher version of tool that is Seaborn. • Still we can plot various plots at basic level in matplotlib as well.Some of the plots that can be plotted are: • Scatter plot • Histogram • Box-plot • Bar plot

  5. Eg 2: • arr1 = np.arange(1,10,0.5)arr2 = np.log(arr1)plt.scatter(arr1,arr2) • O/P:

  6. Histogram • arr1 = np.arange(1,10,0.5)arr2 = np.log(arr1) plt.hist(arr1, arr2) • O/P:

  7. Box-Plot • bplt = plt.boxplot(arr1, vert = True,patch_artist = True)patch, color = list(zip(bplt['boxes'],['pink']))[0]patch.set_facecolor(color) • O/P:

  8. Pie Chart • Z = np.random.uniform(0, 1, 20)plt.pie(Z) • O/P: • These are some of ways of plotting different graphs in Matplotlib . Due to the facilities of Seaborn over Matplotlib, seaborn id always preferred.

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