python matplotlib

Basic reading of CSV file and drawing pie chartSince there is no prior experience of actual processing, this procedure is still worth seeing, involving the basic methods of working with tabular data:Import Matplotlib.pyplot as Pltimport pandas as pd# csv read file data = pd.read_csv (' outorder.csv ', encoding= ' gb2312 ') # Each column is compatible with the NumPy method A = data[' way '].values# gets the various possible contents of this column TypeName = []for i in a: if I is not in TypeNa

Matplotlib is a Python 2D drawing library that generates publishing quality-level graphics in a variety of hard-copy formats and cross-platform interactive environments.Bar chart#Coding:utf-8ImportMatplotlib.pyplot as PltImportNumPy as npplt.rcparams['Font.sans-serif']=['Simhei']label= ['G1','G2','G3','G4','G5']x= Sorted ([1234, 221, 765, 124, 2312]) IDX=Np.arange (len (x)) color= Cm.jet (Np.array (x)/Max (

中添加块plt. Savefig (' ... png ', dpi=400, bbox_inches= ' Tight ') #保存图片, DPI is resolution, bbox=tight means that the blank portion------------------------------------------from Mpl_toolkits.basemap is trimmed Import Basemapimport Matplotlib.pyplot as plt# can be used to draw maps-----------------time series--------------------------Pd.to_ DateTime (DATESTRS)#将字符串型日期解析为日期格式pd. Date_range (' 1/1/2000 ', periods=1000) #生成时间序列ts. Resample (' D ', how= ' mean ') #采样, converts the time series to a f

Windows 10 under the Conda update--all update, after the problem, the various packages can not be used, and then found on the StackOverflow people have encountered the same problem, and through the answer to find the reason, here is a link:1.https://stackoverflow.com/questions/46867474/ Import-matplotlib-importerror-dll-load-failed-the-specified-procedure-could-no2.https://github.com/microsoft/cntk/issues/2423#issuecomment-335037415About

This blog is used to record learning and facilitate review review.PyplotIn the Matplotlib object-oriented drawing library, Pyplot is a convenient interface.Basic drawing functionsMp.plot (array of horizontal coordinates, array of vertical coordinates) 1 from __future__ import unicode_literals 2 import NumPy as NP 3 import Matplotlib.pyplot as MP 4 x = Np.linspace (-np.pi, Np.pi, 1000) 5 cos_y = Np.cos (x)/26 sin_y = Np.sin (x) 7 mp

Recently in the use of Pycharm Learning Python language, have to sigh the powerful and humanized python language!But for the use of pycharm drawing (more complex diagram) will need to use a few plug-ins, namely Matplotlib, NumPy and scipy! But Pycharm itself is not built-in, so you need to download and install it yourself! So all kinds of Baidu, a variety of sear

the name of the Chinese font manually.Manually add the following code[Python]View PlainCopy From Pylab Import * mpl.rcparams[' font.sans-serif '] = [' Simhei '] The source code is modified as follows:[Python]View PlainCopy Import Matplotlib.pyplot as Plt From Pylab Import * mpl.rcparams[' font.sans-serif '] = [' Simhei '] # define text box and arrow formatting Decisio

the name of the Chinese font manually.Manually add the following code[Python]View PlainCopy From Pylab Import * mpl.rcparams[' font.sans-serif '] = [' Simhei '] The source code is modified as follows:[Python]View PlainCopy Import Matplotlib.pyplot as Plt From Pylab Import * mpl.rcparams[' font.sans-serif '] = [' Simhei '] # define text box and arrow formatting Decisio

Http://www.pythoner.com/200.htmlChange MATPLOTLIBRC fileGo to the Lib\site-packages\matplotlib\mpl-data directory under the Python installation directory, open the Matplotlibrc file, delete the # font.family and Font.sans-serif before two lines, After Font.sans-serif, add Microsoft Jas-Black font (Microsoft Yahei) with the following code:MATPLOTLIBRC file Modify PythonFont.family:sans-serifFont.sans-serif:m

Installationsudo apt-get install python-scipysudo apt-get install Python-numpysudo apt-get install Python-matplotlibTest#Test Plot fromMpl_toolkits.mplot3dImportAxes3dImportMatplotlib.pyplot as Plt fromMatplotlibImportCmfig=plt.figure () Ax= FIG.GCA (projection='3d') X, Y, Z= Axes3d.get_test_data (0.05) Ax.plot_surface (X, Y, Z, Rstride=8, Cstride=8, alpha=0.3) C

1. First to the official website https://pypi.python.org/pypi/numpy download the corresponding version of NumPy, my Python version is 3.6, the computer is 64-bit, so download the following file:2. Locate the Python installation directory. If you forget the path to the installation file, you can search for PIP in the location.Then right click, open the appropriate file location, if

import csvfrom matplotlib import pyplot as pltfrom datetime import Datetimefilename = ' sitka_weather_07-2014.csv ' with open (fileName) as F:reader = Csv.reader (f) header_row = Next (rea Der) # Print (header_row) # for index, Column_header in Enumerate (header_row): # When you need both index and value values, you can use enumerate # # Print (index, column_header) dates,hights = [], [] for row in reader:current_date = Datetime.strpt IME (row[0],

Matplotlib's official website: http://matplotlib.org/Matplotlib can be embedded in Tex code, drawing the graphics to add more beautiful text.ImportMatplotlib.pyplot as PltImportNumPy as Npx= Np.arange (-4, 4, 0.1) F1= Np.power (10, x) F2=Np.power (NP.E, X) F3= Np.power (2, X) plt.plot (x, F1,'R', X, F2,'b', X, F3,'g', LineWidth= 2) Plt.axis ([-4, 4,-0.5, 8]) Plt.text (1, 7.5, R'$10^x$', FontSize = 16) Plt.text (2.2, 7.5, R'$e ^x$', FontSize = 16) Plt.

Problem Description: Run the following program to generate the hotel turnover simulation data file in the current folder Data.csvThen complete the following tasks:1) Use Pandas to read the data in the file Data.csv, create the Dataframe object, and delete all of the missing values;2) Use Matplotlib to generate line chart, reflect the daily turnover of the hotel, and save the graphic as a local file first.jpg;3) Statistics by month, using

#==================================================================#首先需要导入两个文件Import Matplotlib.pyplot as PltImport NumPy as NP#==================================================================1 #==================================================================2 #you need to import two of files first3 ImportMatplotlib.pyplot as Plt4 ImportNumPy as NP5 #==================================================================6 #draw a linear graph7x = Np.arange ( -2*np.pi,2*np.pi,0.01)#defining the ho

The main implementation of this paper is to display grayscale images and color images with matplotlib. Some students in the use of matplotlib display color images, will get undesirable effects, specific reasons and solutions please see below. 1. matplotlib Display grayscale Images Import Cv2 from matplotlib import

this scientific computing package does a lot of math analysis, rather than doing the functions, and does not necessarily have to run on Linux. Python official website　　　　Step TwoInstall, and set environment variables. This is done primarily by adding a Python installation path after path. Graphic please Baidu.Step ThreeAfter you have determined that CMD can be entered in

()4 5Ax = Fig.add_subplot (211)6Ax.fill_between (x,y,y1,facecolor='b')7 Ax.grid (True)8 9AX2 = Fig.add_subplot (212)TenAx2.fill (x,y,facecolor='b', alpha=0.3) OneAx2.fill (x,y1,facecolor='g', alpha=0.3) A Ax2.grid (True) -# plt.show ()1 " "three-dimensional drawing" "2 3 From Mpl_toolkits.mplot3d import axes3d4 5U = Np.linspace (-1,1, -)6X, y =Np.meshgrid (u,u) # Grid coordinate generation function7z = x**2+y**28 9Fig =plt.figure ()TenAx =axes3d (Fig) One# cmap =Color_map, the other two paramet

The example in this article describes how Python uses matplotlib to draw a rectangle in a coordinate system. Share to everyone for your reference. The implementation methods are as follows: ? 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 Import Matplotlib.pyplot as Plt from matplotlib.patches import Rectangle class Annotate (object): Def __init__ (self): self. Ax

The example in this article describes how Python implements a line cursor between two axes in matplotlib. Share to everyone for your reference. Specifically as follows: Take a look at the following examples and effects. ? 1 2 3 4 5 6 7 8 9 10 11 12-13 #-*-Coding:utf-8-*-from matplotlib.widgets import multicursor to Pylab import figure, show, NP t = Np.arange (0.0, 2 .0, 0.01) S1 = np.sin