Grokking Modern System Design Interview for Engineers & Managers
Ace your System Design Interview and take your career to the next level. Learn to handle the design of applications like Netflix, Quora, Facebook, Uber, and many more in a 45-min interview. Learn the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process.
Digital Image Processing is a significant aspect of data science. It is used in image modification and enhancement to acquire image attributes that lead to a greater understanding of data.
matplotlib
is a Python library that provides a multitude of functions to visualize and plot data. The matplotlib.pyplot.acorr()
function is used to plot the autocorrelation of data and is used mainly in data analysis.
matplotlib.pyplot.acorr(x, *, data=None, **kwargs)
x
: A sequence of scalars. This parameter is required.
detrend
: A callable function that detrends x
. The default is mlab.detrend_none
. (Optional)
normed
: A Boolean value that, if set to True
, normalizes x
to unit length. The default is True
. (Optional)
usevlines
: A Boolean value that, if set to True
, plots vertical lines from 0
to the acorr values. The default is True
. (Optional)
maxlags
: An integer value that specifies the number of lags to show. The default is 10
. (Optional)
linestyle
: A Line2D
object that specifies the line style for plotting points. Used only when usevlines
is False
. (Optional)
marker
: A string value that specifies the marker for plotting points. Used only when usevlines
is False
. (Optional)
The method returns a tuple (lags, c, line, b). lags
is the lag vector, c
is the correlation vector, line
is a LineCollection
object if usevlines
is True
, and b
is the horizontal line at y=0 if usevlines
is True
.
#import librariesimport matplotlib.pyplot as pltimport numpy as np#initialize datax = np.array([14.8, 61.7, 4.3, 17.2, 53.7, 19.0, 24.3, 13.7])#plot correlationplt.acorr(x,normed = True,maxlags = 5)#add labelsplt.xlabel('X-axis')plt.ylabel('Y-axis')#show the autocorrelation plotplt.show()
The code plots an autocorrelation for the specified data as seen below.
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Grokking Modern System Design Interview for Engineers & Managers
Ace your System Design Interview and take your career to the next level. Learn to handle the design of applications like Netflix, Quora, Facebook, Uber, and many more in a 45-min interview. Learn the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process.