Matplotlib

Using the pyplot functions only until now.

import matplotlib.pyplot as plt

Get the pyplot library. We assume this is done in all examples on this page.

plt.figure(2)

Initialize a new figure. figure(1) is initialized by default.

plt.subplot(211)

Create 1st subplot in figure(1) (212 is the 2nd subplot in figure(1). Return an 'AxesSubplot' object.

211 : Split the figure in 2, figure(1) subplot 1

The subplot can be specified as 2,1,1 too which comes in handy when you have to generate subplots on the fly.

fig,ax = plt.subplots()

Return Figure and AxeSubPlot object. Same as:

fig = plt.figure()

ax = fig.add_subplot(111)

plt.plot(array)

Create the graphical object from the values in the array. Show the graph if your environment (e.g. jupyter) supports it.

When you do more plots without changing figure or subplot the result will be added to the current figure.

plt.legend()

Add a legend to the plot. Default legend is the label, specify an alternative legend text as list.

plt.show()

Show the current figure.

plt.savefig('plot.png')

Save the plot on file

Show the image:

firefox plot.png
eog plot.png
shotwell plot.png

Selfexplaning example code:

plt.plot(array)
plt.suptitle('Set the graph tilte')
plt.xlabel('Set the x label')
plt.ylabel('Set the y label')
plt.show()

With subplots, more lines and legends

ax =  plt.subplot(111)
lineA = ax.plot(array,label='Alabel')
lineB = ax.plot(array,label='Blabel')
ax.legend()

Formatting

plt.plot

Draw lines

plt.bar

Draw bars

plt.scatter

Draw points

All above take 2 lists at arguments, the first for the X-axis, the second for the Y-axis. When a labeled list like numpy arrays or pandas Series is provided the labels make the X, the values the Y.

A next argument defines the format as <colorchar><format>

Formatting strings

Format	Meaning
b-	Blue Solid line, the default
r--	Red Dashed line
b:	Blue Dotted line
r.	Red Dots
g-.	Green dashes and dots
gb	Green Squares
y^	Yellow Triangles
yo	Yellow Balls