## matplolib function summary

matplotlib Drawing function plot plot: draw a two-dimensional graph to connect the points of the plane import numpy as np import matplotlib.pyplot as plt x = np.linspace(-np.pi, np.pi, 256,endpoint=True) plt.plot(x,np.cos(x)) # x-axis y-axis plt.show() # Finally, enter this # If the x-axis is not specified, it will be 0,1,2 n-1 scatter ...

Posted by alcibar on Fri, 11 Feb 2022 11:17:42 +0100

## Interaction between pyqt5 qimage, QPixmap, Opencv, QLabel and Matplotlib

preface Early methods for image rotation were: cv2.imread() reads the imagenumpy rotating imageSave the rotated image CV2 Imwrite() and read the image again Because of the basic operation of images, I am a little white and have never touched anything. Therefore, the early idea is like this. This method is simple and clear, but ...

Posted by ropic on Thu, 10 Feb 2022 10:41:02 +0100

## Self study some translation records of Matplotlib

Matplotlib Getting Started Basic use import matplotlib as mpl import matplotlib.pyplot as plt import numpy as np A simple example Matplotlib displays your data on Figure. Each picture can contain one or more coordinate fields (Axes: an area that can represent specific points with x-y coordinates, polar coordinates and three-dimensional co ...

Posted by Brown on Fri, 04 Feb 2022 14:22:25 +0100

## I reluctantly spent more than 20 minutes to meet the requirements of my sister, but

1, Narration (beginning of story) The other day, my sister asked me to go out secretly and asked me to see a movie emmm.... It's nothing. Let's go. Hey, hey ~ Go?? I regretted going there. I found a park and sat watching movies on my mobile phone Feeding mosquitoes, sweating, watching boring movies, the key is that she doesn't let me idle, ...

Posted by Mchl on Sat, 29 Jan 2022 02:34:11 +0100

## Getting started with Matplotlib data visualization

preface This article actually belongs to: Advanced way of Python [AIoT phase I] This paper introduces Matplotlib data visualization, and will send a separate article on advanced Matplotlib data visualization and advanced Matplotlib data visualization for readers to learn. In data analysis and machine learning, we often use a lot of visu ...

Posted by DoctorWho on Wed, 26 Jan 2022 17:45:00 +0100

## Image Classification (AlexNet): Code Notes

AlexNet Preface Knowledge The Macro Framework of Deep Learning: training and inference and Their Application Scenarios json.loads() method of loading json data: used to convert str-type data to dict. Training For example, now you want to train a model that can distinguish between an apple and an orange. You need to search for some pic ...

Posted by JNorman on Thu, 20 Jan 2022 08:28:31 +0100

## Introduction to Opencv image

1. Use Opencv to read and save images 1.1 image reading The imread() and imshow() functions need to be used for Opencv reading and display. You can use Opencv to read and display the specified picture by using the following code: import cv2 as cv #Import opencv and name it cv img = cv.imread('cat.jpg',-1) #Read the specified picture cv. ...

Posted by cab on Wed, 05 Jan 2022 02:34:53 +0100

## Data analysis - matplotlib

Line chart Add description information plt.xlabel("describe")#Add description on X axis plt.ylabel("describe")#Add description on Y axis plt.title("describe")#Add a description to the title Note: matplotlib does not support Chinese by default. If you want to use Chinese, you need to adjust the language. For details, please refer to matp ...

Posted by holly30 on Sat, 01 Jan 2022 19:12:15 +0100

## matplotlib basic chart drawing

With Matplotlib, developers can generate graphs, histograms, power spectra, bar charts, error charts, scatter charts, etc. with only a few lines of code. Matplotlib Basics 1. Elements included in the basic chart in Matplotlib x-axis and y-axis Horizontal and vertical axes x-axis and y-axis scale The scale marks the separation of coordinate axes ...

Posted by Zanus on Wed, 29 Dec 2021 06:00:04 +0100

## Chart with matplotlib

Simple chart drawing 1.1 draw line chart Using the plot() function of pyplot, you can draw a line chart with multiple lines, which can be done in any of the following ways. plot(x, y, fmt, scalex=True, scaley=True, data=None, label=None, *args, **kwargs) x: Represents the data of the x-axis. The default value is range(len(y)). y: Data re ...

Posted by physaux on Sat, 02 Oct 2021 05:07:54 +0200