Drawing package to use matplotlib

First, import syntax:

　　import matplotlib.pyplot as plt

　　%matplotlib inline

 

Second, change the font, the coordinate axis values ​​may be negative

　　plt.rcParams [ 'font.sans-serif'] = [ 'SimHei']

　　SimHei: blackbody

 

　　plt.rcParams['axes.unicode_minus']=False

 

Third, add chart elements

　　. 1, PLT. Figure (. 1, Figure (10,4)) figsize: length and width provided:

　　. 2, PLT title ( 'This is a line graph') title: FIG name

　　.. 3, PLT XTICK ([0,10,20]) XTICK: X-axis scale

　　. 4, PLT. The xlabel ( 'X-axis') xlabel: x-axis named

　　5, plt.show () Display

　　. 6, plt.plot (np.random_intergers (-20,20,20), label = 'No1', Color = 'R & lt') random_intergers: scale range label: Name Legend color: Color

　　.. 7, PLT Legend () Legend: Legend switching action

 

Fourth, the classification of the cycle to obtain multiple visualization

　　for city,grouped in data.groupby('city'):

　　　　x=grouped['mean']

　　　　y=grouped['count']

　　　　plt.scatter(x,y,label=city)

　　plt.legend(loc='upper right')

　　plt.xlabel ( '...')

　　plt.ylabel ( '...')

　　plt.show()

 

Fifth, the same canvas to draw more than one sub-graph

　　1, plt.figure (figsize = (12,4)): setting the size of the canvas

　　2, PLT. The subplot (1,2,1) is provided with several sub-graph, which currently belongs Zhang subgraph