Usually when I make a single plot, I just call fig,ax = plt.subplots() without specification as to where to place the axes object in the figure. But when I want
I am using SMPL demo code to display the SMPL-X mesh of a person. Instead of taking the default body joints, I need to select vertices corresponding to some oth
When the data range of logarithmic plots does not include a full factor of 10, the current (v3.5) Matplotlib code does not automatically produce publication-qua
I have an input dictionary like: d={'node1':{'node1_1':1.2,'node1_2':1.3,'node1_3':1.2},'node2': {'node2_1':1.3,'node2_2':1.3,'node2_3':1.4}} In th
I have a matplotlib plot on which I found the coordinates of given points like this: I am trying to find a way to add different axes on the same plot, and get
I'm new to Python and I'm trying to adjust this code to my data: import random import pandas as pd import numpy as np import matplotlib.pyplot as plt import mat
The code used to plot the box plot: import seaborn as sns ax= sns.boxplot(x = "Current_Sim_Az_obj1",y= "RUT_Distance",data = df2,whis = (0,100),meanline= True,s
why is it that we can not plot a matrix that has the shape (112,112,2) but doing it for shapes such as (112,112,3)is ok ? TypeError: Invalid shape (112, 112, 2)
I've got some trouble with plotting white spans over a plot. I've created and plotted a given function y(x) and defined some "forbidden" regions, corresponding
If I have a frequency table like below: ret < -1(%) -1 < ret < -0.5(%) -0.5 < ret < 0(%) 0 < ret < 0.5(%) 0.5 < ret <
I am trying to plot a collection of finite element data with colored patches used to represent the value in each element. Unfortunately, when I plot the patches
When I run this code, the Dropdown is nowhere to be found. How do I make it appear in ax1? (I think I would like to avoid Tkinter.) #!/usr/bin/env python3 #Pla
The row data has 3 columns and cannot shape a uniform grid based on 'x'&'z', so I am not able to plot the contour as the existed question: Create Contour Pl
I have data representing mean concentrations over 5 months, some means are over a 24 h period and some are weekly means. I want to plot everything as a scatterp
I'm plotting some data using matplotlib with DateTime objects on the x-axis, but can't seem to figure out why my DateTime values aren't spaced out on the x-axis
I want to plot a simple graph using networkx. There are two nodes with labels Python and Programming in each. The code and graph are as follows: import networkx
I know there are similar questions to mine below, but mine is minimal and does not have anything to do with pandas and also solution pd.to_datetime did not work
I've been struggling with this issue for a while now. I simply want to transform my data in display world, perform some operations, and then translate back to t
I have the following code: import matplotlib.pyplot as plt cdict = { 'red' : ( (0.0, 0.25, .25), (0.02, .59, .59), (1., 1., 1.)), 'green': ( (0.0, 0.0,
I ran a series of simulations and want to create a response surface of the performance based off my two parameters, tol and eta. The issue I'm having is actuall