Box plot using graph objects class
If Plotly Express does not accommodate a good starting point, then it is also possible to use the more generic go.Box class from plotly.graph_objects. Box plot is a consistent way of distribution of data which are based on five main component shown below:
- Minimum : the lowest data point excluding any outliers.
- Maximum : the largest data point excluding any outliers.
- Median (Q2 / 50th Percentile) : the middle value of the dataset.
- First quartile (Q1 / 25th Percentile) : also known as the lower quartile qn(0.25), is the median of the lower half of the dataset.
- Third quartile (Q3 / 75th Percentile) : also known as the upper quartile qn(0.75), is the median of the upper half of the dataset.
Syntax: class plotly.graph_objects.Box(arg=None, alignmentgroup=None, boxmean=None, boxpoints=None, customdata=None, customdatasrc=None, dx=None, dy=None, fillcolor=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hoveron=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, jitter=None, legendgroup=None, line=None, lowerfence=None, lowerfencesrc=None, marker=None, mean=None, meansrc=None, median=None, mediansrc=None, meta=None, metasrc=None, name=None, notched=None, notchspan=None, notchspansrc=None, notchwidth=None, offsetgroup=None, opacity=None, orientation=None, pointpos=None, q1=None, q1src=None, q3=None, q3src=None, quartilemethod=None, sd=None, sdsrc=None, selected=None, selectedpoints=None, showlegend=None, stream=None, text=None, textsrc=None, uid=None, uirevision=None, unselected=None, upperfence=None, upperfencesrc=None, visible=None, whiskerwidth=None, width=None, x=None, x0=None, xaxis=None, xcalendar=None, xsrc=None, y=None, y0=None, yaxis=None, ycalendar=None, ysrc=None, **kwargs)
Parameters:
x: Sets the x sample data or coordinates. See overview for more info.
y: Sets the y sample data or coordinates. See overview for more info.
hoverinfo: Determines which trace information appear on hover.
marker: Instance or dict with compatible properties.
mean: Sets the mean values.
median: Sets the median values.
Example:
Python3
import plotly.graph_objects as pximport numpy as np# creating random data through randomint # function of numpy.random np.random.seed(42)random_y1= np.random.randint(1,101,100) random_y2= np.random.randint(1,101,100)x = ['A', 'B', 'C', 'D']plot = px.Figure()plot.add_trace(px.Box(y=random_y1))plot.add_trace(px.Box(y=random_y2))plot.show() |
Output:
Box plot in Plotly using graph_objects class
Plotly is a Python library which is used to design graphs, especially interactive graphs. It can plot various graphs and charts like histogram, barplot, boxplot, spreadplot and many more. It is mainly used in data analysis as well as financial analysis. plotly is an interactive visualization library.
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