E. J. Khatib

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data science

Interactive plots with Bokeh

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In this last entry on Python plotting libraries, we will review Bokeh, a library for plotting interactive graphics based on HTML/JS. These plots can then be used in a web application or website to display results.
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  • Date February 21, 2016
  • Tags bokeh, data science, python
  • Comments Leave a comment

Drawing plots with Pandas

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In this new entry, we will see the plotting capabilities of Pandas and how to mix it with Matplotlib.

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  • Date January 30, 2016
  • Tags data science, pandas, python
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Decorating graphics with Matplotlib

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In the last entry, we saw a brief introduction to Matplotlib by drawing three basic graphic types (a line plot, a bar chart and pie chart). But the resulting graphics were arguably unattractive.

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  • Date January 24, 2016
  • Tags data science, matplotlib, python
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Introduction to Matplotlib

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In the previous entry, we introduced the libraries available for graphing in Python. In this entry, we will have a very basic look on the first proposed library, Matplotlib. We will create three types of graphics: a line plot, a bar chart and a pie chart.

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  • Date January 9, 2016
  • Tags data analysis, data science, matplotlib, python
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Analyzing trends in data with Pandas

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A very important aspect in data given in time series (such as the dataset used in the time series correlation entry) are trends. Trends indicate a slow change in the behavior of a variable in time, in its average over a long period.
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  • Date December 20, 2015
  • Tags data analysis, data science, pandas, python
  • Comments 3 Comments

Correlating time series with Pandas

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In this entry, we will see a practical application of the Pandas library. We will use a DataFrame where we will load the contents of a CSV file containing data of measurements on a flotation cell.
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  • Date December 11, 2015
  • Tags data analysis, data science, pandas, python
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Loading a DataFrame from an SQL database

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In a prior entry we described how to load data from a CSV file. In this entry, we will do a quick introduction on how to load the contents of an SQL table into a DataFrame.
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  • Date December 8, 2015
  • Tags data analysis, data science, databases, pandas, python
  • Comments Leave a comment

Reading and writing CSV files with Pandas

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CSV (Comma Separated Values) files are a very simple and common format for data sharing. CSV files are simple (albeit sometimes large) text files that contain tables. Each line is a row, and within each row, each value is assigned a column by a separator.
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  • Date December 5, 2015
  • Tags data analysis, data science, pandas, python
  • Comments Leave a comment

Pandas DataFrame

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In the previous entry, I introduced Pandas Series. I also compared it with the column of an Excel workbook. Well, following that analogy, DataFrame is the full Excel workbook, where each column is … you guessed it; a Series.
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  • Date November 28, 2015
  • Tags data analysis, data science, pandas, python
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Pandas Series

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In this entry, I will quickly introduce the Series. It is the most simple structure provided by Pandas, and it can be thought of as a column in an excel spreadsheet.
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  • Date November 21, 2015
  • Tags data analysis, data science, pandas, python, time series
  • Comments Leave a comment

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