matplotlib

问题 So I've seen a few answers on here that helped a bit, but my dataset is larger than the ones that have been answered previously. To give a sense of what I'm working with, here's a link to the full dataset. I've included a picture of one attempted solution, which was found at this link: . The issue is that 1. This is difficult to read and 2. I don't know how to flatten it out so that it looks like a traditional timeline. The issue becomes more apparent when I try and work with larger segments,

问题 So I've seen a few answers on here that helped a bit, but my dataset is larger than the ones that have been answered previously. To give a sense of what I'm working with, here's a link to the full dataset. I've included a picture of one attempted solution, which was found at this link: . The issue is that 1. This is difficult to read and 2. I don't know how to flatten it out so that it looks like a traditional timeline. The issue becomes more apparent when I try and work with larger segments,

问题 I want to create a dashboard using Pygal on python 2.7 (Several plots in the same window) but the later doesn't have the subplot function, Is there a solution, without using bokeh or plotly? Example on Matplotlib: fig, axes = plt.subplots(ncols=4, nrows=5, figsize=(35,20)) for ax in axes.flatten(): ax.plot([2,3,5,1]) plt.show() Is there something like this on Pygal? 回答1: # -*- coding: utf-8 -*- import pygal list2=["A","B","C","D"] liste_A=[10,20,30,40] liste_B=[100,10,50,20] html_file=open(

问题 I'm trying to plot data from mpu6050 imu with arduino. MPU6050 sends data faster than plot. Arduino code gives 6 data which are yaw, pitch, roll, ax,ay and az from serial port. I need suggestions for fast plot . Python Code: import serial import matplotlib.pyplot as plt #import matplotlib library from drawnow import * ser = serial.Serial('COM9', 115200) yaw = 0.0 pitch =0.0 roll =0.0 ax =0.0 ay =0.0 az =0.0 o_yaw= [0] o_pitch= [0] o_roll= [0] o_ax= [0] o_ay= [0] o_az= [0] plt.ion() cnt=0 def

问题 I tried to fit the following plot(red dot) with zipf distribution in python, F~x^(-a) I just simply chose a=0.56, and plot y = x^(-0.56) and I got the curve as follow: which is obviously wrong, don't know how I can do the curve fit 回答1: Not sure what you are exactly looking for, but if you want to fit a model (function) to data, use scipy.optimize.curve_fit : from scipy.optimize import curve_fit from scipy.special import zetac def f(x, a): return (x**-a)/zetac(a) result = curve_fit(f, x, y,

问题 I tried to fit the following plot(red dot) with zipf distribution in python, F~x^(-a) I just simply chose a=0.56, and plot y = x^(-0.56) and I got the curve as follow: which is obviously wrong, don't know how I can do the curve fit 回答1: Not sure what you are exactly looking for, but if you want to fit a model (function) to data, use scipy.optimize.curve_fit : from scipy.optimize import curve_fit from scipy.special import zetac def f(x, a): return (x**-a)/zetac(a) result = curve_fit(f, x, y,

问题 I am just trying to understand why my jupyter installation does not require me to run '%matplotlib inline' (which, according to everything I've read, I should have to run that to get my plots inline in my jupyter notebook). But the fact is, my matplotlib plots appear inline in my notebook whether I run '%matplotlib inline' or not. I am running an anaconda install of jupyter on ubuntu under WSL, using chrome as the client to my notebook server. jupyter --version 4.4.0 and jupyter-notebook -

问题 I'm trying to plot a contourf-plot using matplotlib (and numpy of course). And it works, it plots what it should plot, but unfortunatelly I cannot set the colorbar range. The problem is that I have a plenty of plots and need all of them to have the same colorbar (same min and max, same colors). I copy&past-ed almost every code snippet I found on the internet, but without success. My code so far: import numpy as np; import matplotlib as mpl; import matplotlib.pyplot as plt; [...] plotFreq,

问题 I have a time series that has a few years' worth of data, for example this: ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000)) ts = ts.cumsum() ts.plot() I also have two extra arrays: let's call the first dates = [pd.datetime("2000-12-01"), pd.datetime("2001-01-03")] And the second labels = ["My birthday", "My dad's birthday"] labels[i] contains the label for dates[i]. What I'd like to do is to display them in the time series graph so that they can be

问题 Matplotlib working in this app perfectly.. but not working in build for some reason. Why? I'll gladly take any advice that can help me. .exe.log : Traceback (most recent call last): File "main.py", line 3, in <module> File "zipextimporter.pyc", line 82, in load_module File "matplotlib\__init__.pyc", line 103, in <module> File "zipextimporter.pyc", line 82, in load_module File "distutils\__init__.pyc", line 25, in <module> ImportError: cannot import name dist main.py is a script that I'm