label
Legend settingsAx.legend ([Plot1, Plot2, ...], (' Label1 ', ' Label2 '), loc =)
LOC: Legend Position (Best, Adaptive: center, middle)
Label settings
Ax.set_title (): Set sub-chart captionSave Chart
Plt.savefig (' Example.png ')
Seaborn Library Drawing Advanced Use Axes_style () and Set_style () to set the appearance\ (\quad\quad\) dark Grid (Darkgrid), white Grid (Whitegrid), full black (dark), full white, full sc
Matplotlib is Python's most famous drawing library, this article has shared the use of matplotlib+numpy to draw a variety of methods of drawing examples, including fill chart, scatter plot (scatter plots),. Bar chart (bar plots), contour map (contour plots), bitmap and 3D diagram, the need for friends can refer to, let's take a look at it.
Objective
Matplotlib is Python's most famous
Drawing charts in Python
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Environment:Win 10. python3.5
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Preface:
I was most impressed with some java GUI programming processes:1) All methods related to 'paint' should be called before the show () method is called.
2) in java, a drawing-Related Object (such as JFrame) will be inherited/called to process 'paint' work.
3)
Recently wanted to learn some of the content of Python data analysis, a crawler crawled some data, and intends to use anaconda set of tools (Pandas, NumPy, scipy, Matplotlib, Jupyter) and other preliminary data mining and analysis.
In the use of matplotlib drawing, the horizontal axis is Chinese, but the horizontal bar chart is always displayed "box", to find data to solve. Feel this should be a more commo
Python drawing is mainly used to matplotlib this library. Specifically, the two sub-Libraries of Pylab and Pyplot. These two libraries can meet the basic drawing requirements, and the bar chart, scatter chart and other special drawings, the following are described separately.First give the Pylab artifact Zhen Wen: pylab.rcParams.update (params). This function can
coordinateY2,X2 represents the coordinates of the second control pointY3,X3 represents the third control point coordinateThe weight represents the weight of the middle control point and is used to control the curvature of the curve. from Import Draw,data Import Matplotlib.pyplot as pltimg=Data.chelsea () RR, CC=draw.bezier_curve (150,50,50,280,260,400,2) Draw.set_color (img,[rr,cc],[255, 0,0]) plt.imshow (Img,plt.cm.gray)6. Draw Hollow CircleAnd the previous circle is the same, but the front is
+ = solver.test_nets[0].blobs['SoftmaxWithLoss1'].data#Calculate test Accuracy_accuracy + = solver.test_nets[0].blobs['Accuracy1'].data#calculate average Test lossTest_loss[it/test_interval] = _test_loss/Test_iter#calculate average test accuracyTest_acc[it/test_interval] = _accuracy/Test_iter _test_loss=0 _accuracy=0#Draw train loss, test loss, and accuracy curvesPrint '\nplot the train loss and test accuracy\n'_, Ax1=plt.subplots () ax2=Ax1.twinx ()#train loss, greenAx1.plot (Display * Arange
Matplotlib is a powerful Python module for drawing two-dimensional graphics, which uses the Python language to achieve the ease of use of the MATLAB drawing function, while having a very powerful customization capability. It provides a complete set of command APIs similar to MATLAB and is ideal for interactive mapping.
This article mainly describes the solution of the Linux system in the Python matplotlib drawing of the Chinese display problem, the need for friends can refer to the following
Recently wanted to learn some of the content of Python data analysis, a crawler crawled some data, and intends to use anaconda set of tools (Pandas, NumPy, scipy, Matplotlib, Jupyter) and
This article mainly describes the solution of the Linux system in the Python matplotlib drawing of the Chinese display problem, the need for friends can refer to the following
Recently wanted to learn some of the content of Python data analysis, a crawler crawled some data, and intends to use anaconda set of tools (Pandas, NumPy, scipy, Matplotlib, Jupyter) and
effects.fontscale– font size, this value is multiplied by the font built-in size to get the font sizecolor– text colorthickness– the thickness of the line, similar to the 0.38 nib and the 0.5 niblinetype– linear.Bottomleftorigin–true, the image data origin is in the lower left corner. Otherwise, the image data origin is in the upper left corner.Case codeImportNumPy asNpImportCv2img=Np.zeros (( +, +,3), np.uint8) Cv2.line (IMG, (0,0),(511,511),(255,0,0),5) Cv2.rectangle (IMG, (384,0),(510, -),(0
‘)plt.legend(loc=‘upper right‘)plt.xticks((0,2,4,6,8,10),(‘1月‘,‘3月‘,‘5月‘,‘7月‘,‘9月‘,‘11月‘))plt.xlabel(‘月份‘)plt.ylabel(‘XX事件数‘)plt.grid(x1)plt.show()5. Read the hourly frequency data, draw the overlapping bar chartdata_hour2015 = pd.read_csv(‘data_hour2015.txt‘)data_hour2016 = pd.read_csv(‘data_hour2016.txt‘)plt.figure(figsize=(10, 6))data_hour2015[‘nums‘].T.plot.bar(color=‘g‘,alpha=0.6,label=‘2015年‘)data_hour2016[‘nums‘].T.plot.bar(color=‘r‘,alpha=0.4,label=‘2016年‘)plt.xlabel(‘小时‘)plt.ylabel(‘XX事
Python matplotlib module, a drawing tool library for extended Matlab, that can draw a variety of graphicsIt is recommended to install Anaconda after use, integration of a lot of third library, basically meet the needs of everyone, the corresponding choice Python 2.7 or 3.5 of the can: https://www.continuum.io/downloads#windows
脚本默认执行方式:1.获取当前文件夹下
Python + matplotlib: code for drawing a 3D bar chart instance, pythonmatplotlib
The example shared in this article mainly implements Python + matplotlib to draw a 3D bar chart with shadow and no shadow, as shown below.
First, let's take a look at the demo:
The complete code is as follows:
Import numpy as npimport matplotlib. pyplot as pltfrom mpl_toolkits.m
I've always wanted to learn python, but programmers know that when you actually use a language, it's the most efficient, so I'm going to use it now.
Originally this drawing work, my colleagues have done with MATLAB, but I have always felt that the MATLAB does not catch a cold, so try to use Python to do.
Example: http://matplotlib.org/examples/index.html
First o
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