data-visualization – Tarik Billa

Plot point markers and lines in different hues but the same style with seaborn

April 4, 2024 by Tarik

You can directly use pandas for plotting. pandas via groupby fig, ax = plt.subplots() df.groupby(“logic”).plot(x=”n_index”, y=”value”, marker=”o”, ax=ax) ax.legend([“False”,”True”]) The drawback here would be that the legend needs to be created manually. pandas via pivot df.pivot_table(“value”, “n_index”, “logic”).plot(marker=”o”) seaborn lineplot For seaborn lineplot it seems a single marker is enough to get the desired result. … Read more

How can I generate ascii “graphical output” from R?

January 7, 2024 by Tarik

Whats are some real time data sources?

January 6, 2024 by Tarik

Just some thoughts: Environmental Datasets As stated by the other comment, have a look to weather, forecast (or similar services). Space data What about data from the Universe? Flights Here’s some real time flight tracking data: the evaluation plan is limited but free. Social Networks Twitter Streaming API, Facebook RealTime Updates API (in case you … Read more

R Plot Color Combinations that Are Colorblind Accessible

January 3, 2024 by Tarik

Diagonal labels orientation on x-axis in heatmap(s)

January 3, 2024 by Tarik

What is the difference between D3.js and Cytoscape.js? [closed]

December 22, 2023 by Tarik

D3 is for charts and mostly static graphs. Cytoscape.js lets you manipulate highly-customisable and interactive graphs, and has an API as easy to use as jQuery. D3 is for arbitrary SVG. This means that although it can be used to make lots of different things, you have to build the renderer, interaction, and model yourself. … Read more

Add legend to geom_line() graph in r

November 22, 2023 by Tarik

How can I learn to create beautiful infographics (with connection to my R knowledge)? [closed]

September 9, 2023 by Tarik

Animated sorted bar chart with bars overtaking each other

September 6, 2023 by Tarik

how to hide plotly yaxis title (in python)?

September 5, 2023 by Tarik

Solution You need to use visible=False inside fig.update_yaxes() or fig.update_layout() as follows. For more details see the documentation for plotly.graph_objects.Figure. # Option-1: using fig.update_yaxes() fig.update_yaxes(visible=False, showticklabels=False) # Option-2: using fig.update_layout() fig.update_layout(yaxis={‘visible’: False, ‘showticklabels’: False}) # Option-3: using fig.update_layout() + dict-flattening shorthand fig.update_layout(yaxis_visible=False, yaxis_showticklabels=False) Try doing the following to test this: # Set the visibility ON … Read more