Tags » MatPlotLib

Organise scripts and figures easily with Jupyter Notebooks

Keeping track of scripts used to generate figures is difficult. Before realising that Jupyter Notebooks could solve most of my problems, I would have directories with dozens of scripts with filenames of varying levels of ambiguity. 371 more words


Exploratory Data Analysis (EDA) : Basic Visualization Techniques

The introduction of sensor networks and the development of IoT devices and platforms makes essential the understanding and analysis of the collected data. We are developing a collection of Jupyter notebooks geared towards applied and computational… 16 more words

Data Analysis

[plotly] interactive world maps, bar & pie charts

I prepared a solution to respond to the questions from KIVA. The project is described in the following link:


A clustering approach was used forĀ  80 more words


76. Matplotlib: Adding shaded areas to charts

plt.fill_between may be used to add shaded areas to charts. By using the alpha (transparency) argument shaded areas may overlap.

import matplotlib.pyplot as plt

y1 = 
y1_max = 
y1_min = 

y2 = 
y2_max = 
y2_min = 

plt.plot(x, y1)
plt.plot(x, y2, linestyle ='dashed')

# alpha adjusts transparency, higher alpha --> darker grey
# Or color could be set to, for example '0.2', but using transparency allows
# overlapping shaded areas
plt.fill_between(x, y1_min, y1_max, color = 'k', alpha = 0.1)
plt.fill_between(x, y2_min, y2_max, color = 'k', alpha = 0.1)



Further software and hardware updates

Over the last few weeks I have been thinking about the overall controller architecture, 3D printing some test Raspberry Pi cases, and updating the Python test software. 889 more words