A data visualization library for Python that combines the grammar of graphics from ggplot2 with the interactivity of Plotly.
from ggplotly import *
import pandas as pd
df = pd .DataFrame ({
'x' : [1 , 2 , 3 , 4 , 5 ],
'y' : [1 , 2 , 3 , 4 , 5 ],
'group' : ['A' , 'A' , 'B' , 'B' , 'B' ]
})
# Simple scatter plot
ggplot (df , aes (x = 'x' , y = 'y' )) + geom_point ()
# With color mapping and theme
ggplot (df , aes (x = 'x' , y = 'y' , color = 'group' )) + geom_point () + theme_minimal ()
# Faceted plot
ggplot (df , aes (x = 'x' , y = 'y' )) + geom_point () + facet_wrap ('group' )
ggplot2 Function Coverage
Function
Description
geom_point
Scatter plots
geom_line
Line plots (sorted by x)
geom_lines
Multi-series line plots
geom_path
Path plots (unsorted)
geom_bar
Bar charts
geom_col
Column charts (pre-computed heights)
geom_histogram
Histograms
geom_boxplot
Box-and-whisker plots
geom_violin
Violin plots
geom_density
Density plots
geom_area
Filled area plots
geom_ribbon
Ribbons with ymin/ymax
geom_smooth
Smoothed lines (LOESS, linear)
geom_tile
Rectangular tiles/heatmaps
geom_rect
Rectangles (xmin/xmax/ymin/ymax)
geom_text
Text labels
geom_label
Text labels with background
geom_errorbar
Error bars
geom_segment
Line segments
geom_step
Step plots
geom_rug
Rug plots
geom_jitter
Jittered points
geom_vline
Vertical reference lines
geom_hline
Horizontal reference lines
geom_abline
Diagonal lines (slope/intercept)
geom_contour
Contour lines
geom_contour_filled
Filled contours
geom_map
Choropleth maps
geom_sf
Simple features (geographic)
geom_range
Range plots (min/max/avg)
geom_edgebundle
Edge bundling for networks
geom_searoute
Maritime shipping routes
geom_sankey
Sankey flow diagrams
geom_point_3d
3D scatter plots
geom_surface
3D surface plots
geom_wireframe
3D wireframe plots
geom_candlestick
Candlestick charts (financial)
geom_ohlc
OHLC charts (financial)
geom_waterfall
Waterfall charts (financial)
geom_fanchart
Fan charts for uncertainty
geom_stl
STL decomposition plots
geom_acf
Autocorrelation function plots
geom_pacf
Partial autocorrelation plots
geom_norm
Normal distribution overlay
geom_qq
Q-Q plots (theoretical vs sample quantiles)
geom_qq_line
Q-Q reference line through Q1/Q3
Function
Description
stat_identity
No transformation
stat_count
Count observations
stat_bin
Bin data
stat_density
Kernel density estimation
stat_ecdf
Empirical CDF
stat_smooth
Smoothing with CI
stat_summary
Summary statistics
stat_contour
Contour computation
stat_fanchart
Fan chart percentiles
stat_function
Apply function to data range
stat_stl
STL time series decomposition
stat_qq
Compute Q-Q quantiles
stat_qq_line
Compute Q-Q reference line
Function
Description
scale_x_continuous
Continuous x-axis
scale_y_continuous
Continuous y-axis
scale_x_log10
Log10 x-axis
scale_y_log10
Log10 y-axis
scale_x_reverse
Reversed x-axis
scale_y_reverse
Reversed y-axis
scale_x_date
Date x-axis
scale_x_datetime
DateTime x-axis
scale_x_rangeslider
Interactive range slider for zooming
scale_x_rangeselector
Range selector buttons for time series
scale_color_manual
Manual color mapping
scale_color_gradient
Continuous color gradient
scale_color_brewer
ColorBrewer palettes
scale_fill_manual
Manual fill mapping
scale_fill_gradient
Continuous fill gradient
scale_fill_brewer
ColorBrewer fill palettes
scale_fill_viridis_c
Viridis color palette
scale_shape_manual
Manual shape mapping
scale_size
Size scaling
Function
Description
coord_cartesian
Cartesian coordinates with zoom
coord_fixed
Fixed aspect ratio coordinates
coord_flip
Flip x and y axes
coord_polar
Polar coordinates
coord_sf
Spatial/geographic coordinates
Function
Description
facet_wrap
Wrap facets into rows/columns
facet_grid
2D facet grid
Function
Description
theme_default
Default theme
theme_minimal
Minimal theme
theme_classic
Classic ggplot2 theme
theme_dark
Dark theme
theme_ggplot2
R's ggplot2 default
theme_nytimes
New York Times style
theme_bbc
BBC News style
theme_custom
Custom theme builder
theme
Theme modification
Function
Description
element_text
Text element styling
element_line
Line element styling
element_rect
Rectangle element styling
Function
Description
position_identity
No adjustment (identity)
position_dodge
Dodge overlapping objects
position_dodge2
Dodge with variable widths
position_jitter
Add random noise
position_stack
Stack objects
position_fill
Stack and normalize to 100%
position_nudge
Nudge points by fixed amount
Function
Description
labs
Set plot labels
ggtitle
Set title
annotate
Add annotations
xlim / ylim / lims
Set axis limits
guides
Control legend/colorbar display
guide_legend
Configure legend appearance
guide_colorbar
Configure colorbar appearance
Function
Description
ggsave
Save plots to file
ggsize
Set plot dimensions
Function
Description
aes
Aesthetic mappings
after_stat
Reference computed statistics
layer
Create custom layers
map_data
Load map data
data
Access built-in datasets
Total: ~120 ggplot2-equivalent functions