matplotlib

问题 Right now I have a working bit of code that formats to my specification when my time series begin at the start of a decade (i.e. 1990, 2000, 2010,etc.), but I don't know how to adapt my code to have the correct formatting when my time series begins at a year that isn't even (i.e. 1993). import pandas as pd import matplotlib.pyplot as plt from matplotlib import dates def format_xaxis(fig): years = dates.YearLocator(10,month=1,day=1) years1=dates.YearLocator(2,month=1,day=1) dfmt = dates

问题 I have been trying to get the mouse x,y coordinates to variables according to matplotlib plot scale not pixels but it only returns me the integer components like 0.0 or 1.0 I want to return the accurate number like 0.1245 here is my code import matplotlib import Tkinter as tk from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg from matplotlib.figure import Figure import numpy as np import matplotlib.pyplot as plt def onclick(self,event): ix, iy = float

问题 I installed openCV and numpy libraries in python 2.7. I've tested them using commands import cv2 and import numpy and it compiled. But when I use the cv2.imshow('frame', ----) function it displays a window but not displaying the image. And it's showing " frame is Not Responding". So, I tried with matplotlib functions for displaying image and it worked. I inserted cv2.imshow function in the 2nd case and it worked. Versions [Python-2.7.10, OpenCV-2.4.11] Below is the code, Case 1: Not Working

问题 I'm plotting data as a bar plot in matplotlib and am trying to only show the outline of the bars, so that it appears as a 'stepped graph' of the data. I've added my code below along with an image of the desired output. plt.bar(x, y, align='center', width=0.1, edgecolor='black', color='none') The plot I have: The plot I would like: Are there any other libraries that may be able to produce this? The bar keyword arguments don't seem to have anything that can. 回答1: Your image looks like a

问题 I'm plotting data as a bar plot in matplotlib and am trying to only show the outline of the bars, so that it appears as a 'stepped graph' of the data. I've added my code below along with an image of the desired output. plt.bar(x, y, align='center', width=0.1, edgecolor='black', color='none') The plot I have: The plot I would like: Are there any other libraries that may be able to produce this? The bar keyword arguments don't seem to have anything that can. 回答1: Your image looks like a

问题 I'm plotting data as a bar plot in matplotlib and am trying to only show the outline of the bars, so that it appears as a 'stepped graph' of the data. I've added my code below along with an image of the desired output. plt.bar(x, y, align='center', width=0.1, edgecolor='black', color='none') The plot I have: The plot I would like: Are there any other libraries that may be able to produce this? The bar keyword arguments don't seem to have anything that can. 回答1: Your image looks like a

问题 I'm creating a Python3 program that generates SVG images with random circles that I need for a personal project. Right now the program works perfectly, but I'd like to fine-tune some parameters to produce the best results possible. My idea is to have a display window that shows the intermediate result and an interactive shell to change some of the values that generate the position of the circles, without having to create thousands of different images and compare them. When I finish I can

问题 I'm trying to get the errorbars to show at the confidence interval's limits, and not in the center. What I want is this: but what I'm getting is this: To plot the bar chart I used this: import pandas as pd import numpy as np import matplotlib.pyplot as plt np.random.seed(12345) df = pd.DataFrame([np.random.normal(32000,200000,3650), np.random.normal(43000,100000,3650), np.random.normal(43500,140000,3650), np.random.normal(48000,70000,3650)], index=[1992,1993,1994,1995]) df1 = df.T df1.columns

问题 I'm trying to get the errorbars to show at the confidence interval's limits, and not in the center. What I want is this: but what I'm getting is this: To plot the bar chart I used this: import pandas as pd import numpy as np import matplotlib.pyplot as plt np.random.seed(12345) df = pd.DataFrame([np.random.normal(32000,200000,3650), np.random.normal(43000,100000,3650), np.random.normal(43500,140000,3650), np.random.normal(48000,70000,3650)], index=[1992,1993,1994,1995]) df1 = df.T df1.columns

问题 I'm trying to do something similar to this 3D example from the docs, but with a point cloud instead of a smooth surface. The example projects 2D contours onto each of the three coordinate planes. This shows that I'm able to do that onto the xy-plane. When I try doing the same onto the other two planes, I get either a weird contour collapsed down to a thin strip, or an exception way beyond my reach in the bowels of matplotlib . Traceback (most recent call last): File ".../matplotlib/backends