Python Data analysis----matplotlib

Matplotlib is a powerful toolkit for Python drawing and data visualization.

Installation method: Pip Install Matplotlib

Reference method: Import Matplotlib.pyplot as Plt

Drawing function: Plt.plot ()

Display Image: Plt.show ()

Simple example:

Import Matplotlib.pyplot as Pltin [269]: x = np.linspace (5,15,1000) in [+]: y = x*xIn [271]: PLT . plot (x, y) out[271]: [<matplotlib.lines.line2d at 0x10bdbd198>]in [272]: Plt.show ()

Image

Plot function:

• Linetype LineStyle (-,-.,--,.. ）
• Point type marker (V,^,s,*,h,+,x,d,o,... ）
• Colour Color (b,g,r,y,k,w,... ）
• Plot function plots multiple curves
• Title: Set_title
• X-axis: Set_xlabel
• Y-Axis: Y_label
• Other types of images:
• hist Frequency Histogram

Canvas and graph:

Canvas: Figure

• Fig = Plt.figure ()

Figure: Subplot

• Ax1 = Fig.add_subplot (2,2,1) #2行2列放第一个位置

Adjust Sub-chart spacing:

• Subplots_adjust (left, bottom, right, top, wspace, hspace)

Python Data analysis----matplotlib