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Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.
A bar chart or bar graph is a chart or graph that presents categorical data with rectangular bars with heights or lengths proportional to the values that they represent. The bars can be plotted vertically or horizontally. A vertical bar chart is sometimes called a column chart and has been identified as the prototype of charts. [1]
UpSet plots are related to Mosaic Plots, although Mosaic plots are designed for categorical instead of set data. UpSet plots became popular as they became available as an R -library based on ggplot2 , [ 3 ] and were subsequently re-implemented in various programming languages, such as Python , and others. [ 4 ]
GUI, Python SDK, js SDK C#, C++, Python, R, js R, Python Analyse-it: ... Bar chart Box plot Correlogram Histogram Line chart Scatterplot Violin plot; ADaMSoft: Yes Yes
The plots can be exported to several bitmap formats, PDF, EPS or SVG. Note windows support in-place evaluation of mathematical expressions or an optional scripting interface to Python . The GUI of the application uses the Qt toolkit .
A funnel plot is a scatterplot of treatment effect against a measure of study size. It is used primarily as a visual aid to detecting bias or systematic heterogeneity. Dot plot (statistics) : A dot chart or dot plot is a statistical chart consisting of group of data points plotted on a
A bar graph shows comparisons among discrete categories. One axis of the chart shows the specific categories being compared, and the other axis represents a measured value. Some bar graphs present bars clustered in groups of more than one, showing the values of more than one measured variable. These clustered groups can be differentiated using ...
[[Category:Bar chart templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Bar chart templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.