Visualisation of datasets#
Text explaining the use of the Gallery
Text explaining the use of the Visualisation of datasets
- Bar Charts
- Bar chart, part 1
- Bar chart, part 2
- Stacked Bar Plot
- Grouped Bar Plot
- Grouped StackedBar Plot
- Barplot with error bar
- Waterfall Plot
- Mirror Histogram
- Horizontal Bar
- Horizontal Error Bar
- Stacked horizontal bar with labels
- Stacked and grouped horizontal bar
- Gantt Chart
- Marketing Funnel
- Population Pyramid
- Mirror Bar Plot (horizontal)
- Tornado Chart
- Circular Barplot
- Barplot with color
- Line and lollipop charts
- Line chart (Seaborn)
- Slope Chart
- Line chart with error Bar
- Confidence band (RandomWalk)
- Plotting Parallel (Pandas)
- Andrew Curves (Pandas)
- Highlighted LinePlot
- Multiple Lines And Panels
- Line chart with fancy formatting
- Lolllipop 2 Groups
- Highlight Group In Lollipop
- Lolllipop Conditional Color
- Lollipop chart with fancy formatting
- Circular Lolllipop
- Area Plots
- Boxplot, Violinplot and Raincloud plot
- Correlation and regression
- Linear regression with confidence Band
- Anscombe example
- Faceted Scatter Plots: all in one plot
- Faceted Scatter Plots: separate plots
- Faceted Scatter Plots: further subgrouping
- Bubbleplot
- Scatterplot with fancy formatting
- Scatterplots with positive, negative and weak correlation: confidence ellipses
- Scatterplot with confidence confidence ellipses at different standard deviations
- Hexagonal binned plot and marginal histograms (Seaborn)
- Joint and marginal Kde (Seaborn)
- Marginal ticks
- Regression_marginals (Seaborn)
- Pair grid with kde (Seaborn)
- Scatterplot matrix (Seaborn)
- Financial plots (requires mplfinance)
- Geographic data (requires cartopy)
- Antarctis
- Australia
- Africa
- World Flight
- World Night Shading
- World2projections
- Country population estimates
- Arctis and Antarctis
- Geographic Mapping, with longitude and altitude on 4 axes crs=ccrs.PlateCarree
- Geographic Mapping, World, projection=ccrs.InterruptedGoodeHomolosine
- Geographic Mapping, World, projection=ccrs.PlateCarree
- Labelling projection axes: PlateCarree and Mercator
- Geographic data (requires geopandas)
- Parts of a whole
- Dendrograms, heatmaps and clustermaps
- PlotTable
- Flow and connections
- Circular plots and flows
- Network data (requires networkx)