Python has powerful data analysis and processing capabilities. To use Python for data analysis, you need to master the three Python packages pandas, matplotlib, and seaborn. Mastering the knowledge of Python data analysis can help us better discover what is behind the data. laws and trends to provide support for business decisions. Reading data using […]
Tag: seaborn
seaborn drawing (for personal use)
import seaborn as sns import matplotlib.pyplot as plt #set_themeSet theme #sns.set_theme(style=”whitegrid”) #White + tick mark, no axis scale #sns.set_theme(style=”white”) #White has no tick marks and no coordinate axis scale #sns.set_theme(style=”dark”) #Dark color has no tick marks and no coordinate axis scale sns.set_theme(style=”ticks”) #White without tick marks, with axis scale # Set drawing context paper”,”talk”,”poster” sns.set_context(“talk”,font_scale=1.1) […]
The Three Musketeers of Python Data Analysis: Pandas, Matplotlib and Seaborn
Python has powerful data analysis and processing capabilities. To use Python for data analysis, you need to master the three Python packages: pandas, matplotlib, and seaborn. Mastering the knowledge of Python data analysis can help us better discover data. The laws and trends behind it provide support for business decisions. Reading data using Pandas First, […]
Python drawing – Seaborn drawing heat map
“We have learned to use matplotlib to draw heat maps before. In this section we will mainly learn to use Seaborn to draw heat maps and cluster samples. And set cluster labels.” Heat Map We have learned to use matplotlib to draw heat maps before, such as: import numpy as np“import matplotlib.pyplot as plt“ “# […]
Python drawing briefly—based on Seaborn
Directory Install Detailed explanation of drawing type functions relationship drawing Data distribution diagram Categorical data type diagram ?Edit regression model analysis diagram relationship drawing Basic implementation Add hue parameters Add col and row parameters Classification drawing swarmplot Violin diagram distribution plot Univariate distribution multivariate distribution FacetGridDrawing Basic implementation ?Edit Draw multiple graphics Summarize Seaborn provides […]
Seaborn drawing quick
Seaborn Drawing Quickly foreword import library Univariate Distribution Analysis Bivariate Distribution Analysis Scatterplot Hexagonal Cellular Diagram Multivariate Distribution Analysis regression analysis Kernel Density Analysis box plot Violin diagram Foreword Seaborn is a python data visualization library developed based on Matplotlab, which provides a high-level interface for drawing engaging and informative statistical graphics. Seaborn has implemented […]
I used Python’s Seaborn library to draw 15 super-beautiful charts!
Hello everyone, I am Little F~ Seaborn is a data visualization library based on the Python language, which can create highly attractive visualization charts. Based on the Matplotlib library, it provides a simpler API and richer visualization functions, making data analysis and visualization easier. Seaborn’s design philosophy is centered around aesthetics and is dedicated to […]
Seaborn draws heat map
Directory 1. Ordinary drawing of heat map 2. Too many axis labels, custom label display 3. The grid that does not display the heatmap 4. Customize the distance and label of the color bar 5. Display the value of the diagonal 6. Some parameters 1. Ordinary heat map drawing # -*- coding:utf-8 _*- import numpy […]
[Python&Seaborn] Seaborn painting (take sklearn’s iris data set as an example)
【Python & amp;Seaborn】Seaborn painting (take sklearn’s iris data set as an example) In the field of data analysis and visualization, statistical graphics of datasets are a powerful tool that can help us better understand distributions, trends, and relationships in data. This article will introduce how to use the Seaborn library in Python to draw various […]
Familiar with seaborn’s palette
Directory Introduction to Python Python features Understanding Data Analysis (1) Qualitative palette 1. Use a circular color system When there are any number of categories that need to be distinguished, it is easier to draw evenly spaced colors (hue changes while keeping the degree and saturation constant) in a circular color space. The circular color […]