Example plots, typically using matplotlib. Mainly for personal use / so I have somewhere to remind myself of some things, but if they're of any use to anyone else then ace. Code/visuals often aren't great as they're mainly just scratch work, often copied straight over from a notebook with little cleanup.
bar_plot_w_custom_cmapbinary_outcome_variablebox_plot_w_scatter_distributionscat_weightline_plot_fill_betweenmeaningless_pointsopinium_barchartpandas_stacked_bars_with_valuespos_neg_split_hbarscatter_distributionsscatter_matrix_w_kde_on_diagscatter_w_outlined_text_insertsplit_x_axis_custom_legendstacked_bar_with_single_bars_layoutuk_hexmap
Bar plot with custom cmap.
Based on this tweet: https://twitter.com/ryanburge/status/1505602885215834112 - wanted to create something with a similar effect using mpl.
Example of:
- Different font types (using monospace font)
- using different colours for bars depending on their values (custom cmap).
- padding around the axis using rc parameters
Plot dichotomous variable.
Simple dots with median lines - might be nice to add a kde to this as well.
The y-axis is redundant here as there are only two options (0.6 doesn't make any
sense).
Bar plot with distributions.
Thought I'd create a bar plot with scatter plots of the distributions adjacent to the bars, it was based off something else but I can't remember what. Bar plots are created from scratch using hlines etc, for no particular reason.
Data was from tidy tuesday.
Timeseries of the cats diet.
Cat was getting a little chunky towards the end of 2023 so had a resolution made for
them to lose a bit of weight. Data collection is just a daily weigh, the average of
this is taken (as there are sometimes multiple entries in a day) and then plotted along
with a ten day rolling average. Most days were covered, where there are missing days
they're imputed using the average of the days either side, eg (a, nan, b) -> (a, (a+b)/2, b) though this is just a plot..
Visualise time tracking, how much over/under time.
Mainly serves as an example of plotting with dates, and filling above / below particular values on a plot.
Example of:
- plotting with dates
- different fonts
- filling between lines
Some random points.
No real meaning to this - was messing about with some bokeh style bits (the effect, not the python library), so dumping here. Not sure I'm mad on the output - it's also slow as hell.
Bar chart style copied from Opinium.
Saw this on twitter (i think) and thought I'd recreate it in mpl.
Horizontal stacked bars, based off of pandas.
Could do these from scratch - pandas makes things a bit more straightforward though.
Example of:
- fixed formatting - setting categorical ticks at particular positions.
Create split horizontal bar chart.
Split by dichotomous variable, with bar classifications.
Can be a bit messy - not sure I'm much of a fan - but wanted to re-create anyway.
Distributions of multiple variables.
For a set of variables, each with an accompanying continuous variable on the same scale, plot the distributions of the continuous variable. Might be useful to have a kde overlaid here.
Example of:
- fixed formatting
- setting categorical ticks at particular positions.
Scatter matrix with kde instead of histogram on the diagonal.
Could probably adapt pd.scatter_matrix instead of doing it from scratch. Though with this approach the non-diagonal plots could be whatever instead of a scatter plot I guess...
Would be good to make the upper diagonals differ from the lower diagonals a bit... maybe some sort of table from pd.cut on the others or whatever.
I'd probably just use subplot_mosaic as well now - that's grown on me a lot since this.
Scatter plot with text inserted to scatter points.
Data was taken from a tidy tuesday.
Example of:
- Outlining text elements in a plot.
Example of creating multiple x-axis in order to plot year / months.
The fig size needs to be pretty large in order to squeeze all the month names etc in here. Generated data looks a mess on these plots.
Example of:
- Custom legend
- generating random date data
- multiple x-axis to display years / months
Layout containing two bar plots and a bivariate plot between them.
In this case it's a silly example of some data containing the social grade of Labradors, as well as the education group. The main plot is a stacked bar containing the breakdown of education group for each social grade.
Don't think I'm too keen on the code for this plot - though it's not always so clear (to me) how to make "nice" code with a lot of matplotlib stuff.
Obviously, the data is made up.
Hex map for the UK constituencies.
Some meaningless generated data - small multiples with hex maps can be useful sometimes though. Could be good to add in the geographically accurate version as well.
