DataScienceinPython.Volume3_PlotsandChar.epub

Data Science in Python Volume 2. Plots and Charts with Matplotlib Data Analysis with Python and SQLite Alexander Stepanov Introduction Graphs with matplotlib. Create a figure Size, resolution, and background Axes limits Title Plotting Set line properties with named parameters Set properties of individual lines Adjusting lines Legend parameters Legend position Number of markers in a legend. Legend font size, title, columns, transparency Error bars Error bar legend label Customizing pyplot with a resource file Bar graphs. Setting your own x ticks Bar plot error bars Bar charts showing several series Stacking bars Histogram Kernel density distribution and violin plots Kernel density estimation Violin plots Color schemes Predefined color schemes Color schemes from color maps Black and white plots Plotting 2D arrays. Color mapped image Contour plot Figures with multiple plots Sharing an axis among several subplots Breaking the Y axis Interaction Animation Networks Databases SQLite Single system-wide database with SQLite GUI tools for SQLite Connecting to database Creating a table Importing data Querying databases ......