Description
Top 10 data analytics course using matplotlib 2022, Top 10 data visualization course using matplotlib 2022, Matplotlib 2022The data analytics is the process of finding insights of the data. It involves following important steps,1. Collection of relevant data2. Preprocessing and transforming data3. Plotting data using different types of graphs4. Understanding insight of the dataWe can plot data in different types of plots using matplotlib library. Matplotlib is a cross-platform, data visualization and graphical plotting library for Python and its numerical extension NumPy. It along with python numpy package provides open source alternative to MATLAB. Developers can use matplotlib library for plotting graphs. Also they can use matplotlib's APIs (Application Programming Interfaces) to embed plots in GUI based applications. In this course you are going to learn details of matplotlib library. The content of this course is as follows, Chapter 1: Introduction to MatPlotLibA. What is Matplotlib?B. Pyploy APIC. PyLab ModuleD. Simple PlotChapter 2: Object Oriented MatplotlibA. Object oriented interfaceB. Figure classC. Axes classD. TransformsChapter 3: Multiple PlotsA. MultiplotsB. Subplots functionC. Subplot2grid functionChapter 4: Formatting PlotsA. GridsB. Formatting axesC. Setting limitsD. Setting ticks and tick labelsE. Twin axesChapter 5: Types of PlotsA. Bar plotB. Stacked bar chartC. HistogramD. Pie chartE. Scatter plotF. Contour plotG. Quiver plotH. Box plotI. Violin plotChapter 6: Three Dimensional PlottingA. Three dimensional plottingB. Three dimensional contour plotC. Three dimensional wireframe plotD. Three dimensional surface plotChapter 7: Working with Non Numeric DataA. Working with text dataB. Working with mathematical expressionsC. Working with image data
