Data analysis and presentation-Matplotlib basic plotting function example, data analysis matplotlib

Data analysis and presentation-Matplotlib basic plotting function example, data analysis matplotlib
Matplotlib library entry Matplotlib basic plotting function example pyplot basic chart function Overview

Function	Description
Plt. plot (x, y, fmt ,...)	Draw a coordinate chart
Plt. boxplot (data, notch, position)	Draw a box chart
Plt. bar (left, height, width, bottom)	Draw a bar chart
Plt. barh (width, bottom, left, height)	Draw a horizontal bar chart
Plt. polar (theta, r)	Draw a polar chart
Plt. pie (data, explode)	Create a pie chart
Plt. pas (x, NFFT = 256, pad_to, Fs)	Draw a power spectrum density chart
Plt. specgram (x, NFFT = 256, pad_to, F)	Draw a spectrum
Plt. cohere (x, y, NFFT = 256, Fs)	Draw correlation functions for X-Y
Plt. scatter (x, y)	Draw a scatter chart with the same length as x and y
Plt. step (x, y, where)	Draw a step chart
Plt. hist (x, bins, normed)	Draw a Histogram
Plt. contour (X, Y, Z, N)	Draw an equivalent Diagram
Plt. vlines ()	Draw a vertical chart
Plt. stem (x, y, linefmt, markerfmt)	Drawing a firewood Diagram
Plt. plot_date ()	Draw Data Date

Pyplot pie chart

import matplotlib.pyplot as pltlabels = 'Frogs', 'Hogs' ,'Dogs' ,'Logs'sizes = [15, 30, 45, 10]explode = (0, 0.1, 0, 0)plt.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%', shadow=False,startangle=90)plt.show()

 

import matplotlib.pyplot as pltlabels = 'Frogs', 'Hogs' ,'Dogs' ,'Logs'sizes = [15, 30, 45, 10]explode = (0, 0.1, 0, 0)plt.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%', shadow=False,startangle=90)plt.axis('equal')plt.show()

Plot the pyplot Histogram

Import numpy as npimport matplotlib. pyplot as pltnp. random. seed (0) mu, sigma = 100, 20 # mean and standard deviation a = np. random. normal (mu, sigma, size = 100) plt. hist (a, 20, normed = 1, histtype = 'stepfilled ', facecolor =' B ', alpha = 0.75) # bin: Number of histograms plt. title ('histogram ') plt. show ()

Pyplot polar chart

import numpy as npimport matplotlib.pyplot as pltN = 20theta = np.linspace(0.0, 2 * np.pi, N, endpoint=False)radii = 10 * np.random.rand(N)width = np.pi / 4 * np.random.rand(N)ax = plt.subplot(111, projection='polar')bars = ax.bar(theta, radii, width = width, bottom = 0.0)for r, bar in zip(radii, bars):    bar.set_facecolor(plt.cm.viridis(r / 10.))    bar.set_alpha(0.5)plt.show()

Plot a pyplot scatter chart

import numpy as npimport matplotlib.pyplot as pltfig, ax = plt.subplots()ax.plot(10 * np.random.randn(100), 10 * np.random.randn(100), 'o')ax.set_title('Simple Scatter')plt.show()