Search results
👋 This page displays all the charts available in the python graph gallery. The vast majority of them are built using matplotlib, seaborn and plotly. But many other python charting libraries are used too. Click on an image to read the full tutorial with explanation and reproducible code 😍!
Forex traders tend to choose between three main types of chart: candlestick, HLOC and line. The type of chart you choose to use will come down to personal preference, though candlestick and HLOC charts are the most popular as they display much more information than line charts.
- Python Modules For Plotting Charts
- Histogram in Python
- Box Plot Chart in Python
- Bubble Chart in Python
- Python 3D Charts
- Saving Plot
- Conclusion
As said above, we will be using the Pandas, NumPy, and Matplotlib modules for drawing different chars. We can install these modules by writing the below commands. Now let us discuss different charts we can plot using Python.
The histogram is used to find the frequency of occurrence of values in defined intervals. Let us create a data frame and plot the histogram of different numerical columns just by using a few lines of code. Example of a histogram: Output:
A box plot is used to represent statistical data graphically based on the minimum, maximum, first quartile, median, and third quartile. The graph looks similar to a rectangle with lines extending from the top and bottom. So the name box plot. Let us see the box plot for the above created data frame. Example of a box plot: Output: We can also plot f...
A bubble chart is like a scatter plot with another dimension. In this larger bubbles represent larger values. Let us see an example. Example of a bubble chart: Output: We can set different properties to the bubble charts which include:
Matplotlib also facilitates the plot of the 3D graphs. The 3D charts are built on the 2D ones. Similar to the 2D plots, we have different types of graphs we can view in 3 dimensions. These are:
We can save the plots using the savefig() function. Let us take the below plot and then we can use the function to save the figure. Example of saving the plot: Output:
We learned some more charts and their plotting using the Python Matplotlib module. We also discussed plotting 3D graphs. Hope this article helped you with learning charts. Happy learning!
- An example plot. Each library takes a slightly different approach to plotting data. To compare them, I'll make the same plot with each library and show you the source code.
- Matplotlib. Matplotlib is the oldest Python plotting library, and it's still the most popular. It was created in 2003 as part of the SciPy Stack, an open source scientific computing library similar to Matlab.
- Seaborn. Seaborn is an abstraction layer on top of Matplotlib; it gives you a really neat interface to make a wide range of useful plot types very easily.
- Plotly. Plotly is a plotting ecosystem that includes a Python plotting library. It has three different interfaces: An object-oriented interface. An imperative interface that allows you to specify your plot using JSON-like data structures.
Aug 26, 2024 · In this article, we will provide a comprehensive guide to using Matplotlib for creating various types of plots and customizing them to fit specific needs and how to visualize data with the help of the Matplotlib library of Python.
Aug 30, 2024 · In this article, we will be discussing various Python Charts that help to visualize data in various dimensions such as Histograms, Column charts, Box plot charts, Line charts, and so on.
People also ask
What are Python charts?
How Python chart is used in data visualization?
What is the best Python plotting library?
Can Python be used as a data analysis tool?
Using one-liners to generate basic plots in matplotlib is fairly simple, but skillfully commanding the remaining 98% of the library can be daunting. This article is a beginner-to-intermediate-level walkthrough on matplotlib that mixes theory with examples.
