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matplotlib

Introduction and Installation:
Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002.One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram etc.
Installation of matplotlib:

Format strings in plot function:
you can use format string in plot function to control visual aspects of your plot such as color, marker, markersize, alpha etc. One can use keyword arguments to individually specify these properties if you dont like using format strings.
Documentation for plot function formate string Individual arguments for plot alpha property of plot API
axes labels,grids,legend:



Bar Chart :
to plot bar chart, set xticks, plot multiple variables in bar chart, barh to plot horizontal bar charts.
Histogram chart:
Histograms are used to plot frequency of a variable. In this tutorial we will do data analysis of blood sugar levels of different patients and also plot side by side bars for men and women's blood sugar datasets using pyplot.hist method
Plot histograms using hist() function what is bins and buckets in histogram rwidth parameters API for hist() function orientation property of Histograms



Pie Chart :
I'll plot individual expense items as a pie and will show how you can use different properties such as autopct, explode, radius, shadow etc to create beautiful looking pie charts
Plot a pie chart plt.axis() Increse redius of chart Autopct argument to show percentage Explode argument startangle argument




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