Skip to content

Latest commit

 

History

History
135 lines (93 loc) · 2.67 KB

Matplotlib.md

File metadata and controls

135 lines (93 loc) · 2.67 KB

Matplotlib

Documentation

Table of Contents

[TOC]

Jupyter

run this in Jupiter Notebook to have inline plots with plt.show()

%matplotlib inline

Import

plt is a common practice to rename matplotlib.pyplot

import matplotlib.pyplot as plt

plt.plot()

Function to construct a plot. Syntax:

plt.plot(*args, **kwargs)

    x = (0, 1, 2, 3)     # values of x (optional) 
    y = (12, 45, 22, 39) # values of y

    plot(x, y)        # plot x and y using default line style and color
    plot(x, y, 'bo')  # plot x and y using blue circle markers
    plot(y)           # plot y using x as index array 0..N-1
    plot(y, 'r+')     # ditto, but with red plusses

plot(x1, y1, 'g^', x2, y2, 'g-') will create 2 plots, which will be shown together on the same image when plt.show()

There is a number of **kwargs, which can be used during plotting. If you make multiple lines with one plot command, the **kwargs apply to all those lines. Example:

plot(x1, y1, x2, y2, antialiased=False, color='green', linestyle='dashed', marker='o', markerfacecolor='blue')

To check all the **kwargs use help(plt.plot)

plt.scatter()

Make a scatter plot of x vs y, where x and y are sequence like objects of the same lengths.

Syntax:

plt.scatter(x, y, s=20, c=None, marker='o', cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, verts=None, edgecolors=None, hold=None, data=None, **kwargs)

plt labels

plt.xlabel("Day")     # Label for x axis (horisontal)
plt.ylabel("Celsius") # Label for y axis (vertical)

plt.axis

Function to set dimentions to the plot. Syntax:

plt.axis([xmin, xmax, ymin, ymax])

plt.fill_between

Makes filled polygons between two curves.

Syntax:

plt.fill_between(x, y1, y2=0, where=None, interpolate=False, step=None, hold=None, data=None, **kwargs)

plt.figure

Creates a new figure. Syntax:

plt.figure(num=None, figsize=None, dpi=None, facecolor=None, edgecolor=None, frameon=True, FigureClass=<class 'matplotlib.figure.Figure'>, **kwargs)

plt.subplot

Creates a new plot inside the current figure. Syntax:

plt.subplot(nrows, ncols, plot_number, **kwargs)
# or
plt.subplot(nrows-ncols-plot_number: int, **kwargs)

plt.title

Add a title to current plot Syntax:

plt.title(s, *args, **kwargs)

plt.text

Add text in string s to axis at location x, y, data coordinates. Syntax:

plt.text(x, y, s, fontdict=None, withdash=False, **kwargs)