matplotlib

问题 I am writting a program that's supposed to receive 4 random values from my Arduino every second and create an updating bar chart with them. I then want to create a PyQt5 Window to show that bar chart. I was sucessful at reading the values coming from my Arduino and using them to create the bar chart. However, since I'm a beginner when it comes to GUI/Arduino, I have no clue how to add that bar chart to my PyQt Window. I'd appreciate if you could help me with that. Here's my Arduino code: void

问题 What's going on: Program in python3/qt5/matplotlib. I am plotting three subplots and few plots in each. I wanted to update plots if user changes any data. That proved rather complicated hence the button 'Replot'. It calls a function that clears canvas and ... reloads the entire widget. It doesn't work as expected: when I press the button nothing happens, but when window gets resized after button clicked it does update the plot. What would be a correct way to do it without having to put all

问题 I am writting a program that's supposed to receive 4 random values from my Arduino every second and create an updating bar chart with them. I then want to create a PyQt5 Window to show that bar chart. I was sucessful at reading the values coming from my Arduino and using them to create the bar chart. However, since I'm a beginner when it comes to GUI/Arduino, I have no clue how to add that bar chart to my PyQt Window. I'd appreciate if you could help me with that. Here's my Arduino code: void

问题 I have a DataFrame with a DateTime index: import pandas as pd from random import randrange dates = pd.date_range(start="2020-02-01",end='2020-04-18',freq='1d') df = pd.DataFrame(index=dates,data=[randrange(10000) for i in range(78)] Now when I plot the data as a line plot, matplotlib produces a nicely formatted x axis: df.plot(figsize=(12,4)) However, if instead I do a bar plot, I now get something quite horrible: df.plot(kind='bar',figsize=(12,4)), This is quite disconcerting, as it is the

问题 I have a data set of brain which is in .nii.gz format to work on neural network I used nilearn package to read the file and get the image data. The shape of the image is (256, 256, 150) I can plot the 2D image from slicing the image using Matplotlib but, How can I plot the image in 3D using Python Thanks 来源： https://stackoverflow.com/questions/62256355/plotting-3d-brain-image-python

问题 I have produced this code to generate the following graph: import matplotlib.pyplot as plt import numpy as np x = np.linspace(1/10000, 1/2000, 13) y = x**2 plt.plot(x, y, 'ro') plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0), useMathText=True) I would like to set the xticks at the position of the data. If I then do plt.xticks(x, rotation=45) I get the ticks at the desired locations but with too many decimal places (see next picture). How do I get the ticks at the specified

问题 I have been trying to create a grouped sorted bar plot such as this one http://chrisalbon.com/python/matplotlib_grouped_bar_plot.html from a DataFrame created from dict by doing: food = {'Apples as fruit': 4.68, 'Berries': 7.71, 'Butter': 12.73, 'Cheese': 4.11, 'Dairy, Other': 4.97} dframe = pd.DataFrame([food]) dframe.plot(kind='bar') Apples as fruit Berries Butter Cheese Dairy, Other 0 4.68 7.71 12.73 4.11 4.97 The first group should have Apples and Berries and the second should have Butter

问题 I have a geodataframe with date as string and Date as a datetime64[ns]. I am using matplotlib 3.0.2. I've tried clearing the data using plt.cla() , plt.clear() and plt.clf( ) as mentioned in other posts and questions but no matter what, the data plots what seems to be a major and minor axis formatting without any prompting - assuming that in plot_date the first of the month is the "major" axis. This is my graph (edited for clarity). It seems caused by new updates in 3.0.2 (from 2.1.0) it's

问题 I have a geodataframe with date as string and Date as a datetime64[ns]. I am using matplotlib 3.0.2. I've tried clearing the data using plt.cla() , plt.clear() and plt.clf( ) as mentioned in other posts and questions but no matter what, the data plots what seems to be a major and minor axis formatting without any prompting - assuming that in plot_date the first of the month is the "major" axis. This is my graph (edited for clarity). It seems caused by new updates in 3.0.2 (from 2.1.0) it's

问题 I have a geodataframe with date as string and Date as a datetime64[ns]. I am using matplotlib 3.0.2. I've tried clearing the data using plt.cla() , plt.clear() and plt.clf( ) as mentioned in other posts and questions but no matter what, the data plots what seems to be a major and minor axis formatting without any prompting - assuming that in plot_date the first of the month is the "major" axis. This is my graph (edited for clarity). It seems caused by new updates in 3.0.2 (from 2.1.0) it's