subplot

问题 I have a pandas dataframe who just has numeric columns, and I am trying to create a separate histogram for all the features ind group people value value_50 1 1 5 100 1 1 2 2 90 1 2 1 10 80 1 2 2 20 40 0 3 1 7 10 0 3 2 23 30 0 but in my real life data there are 50+ columns, how can I create a separate plot for all of them I have tried df.plot.hist( subplots = True, grid = True) It gave me an overlapping unclear plot. how can I arrange them using pandas subplots = True. Below example can help

问题 I have several time series signals (8x8) that I would like to plot using subplot. My data are stored in a matrix called H(x, y, N) where N is the number of points in each signal. I would like to display the 64 signals using subplots. fig = figure(figsize=(12,8)) time = np.arange(0, Nt, 1) for x in range(8): for y in range(8): subplot(8,y+1,x+1) plot(time,H[x,y,:]) What I get is 8 signals in the first row, 4 in the second one, then 2, 2, 1, 1, 1 and 1. 回答1: That's not how subplot indexing

问题 I have several time series signals (8x8) that I would like to plot using subplot. My data are stored in a matrix called H(x, y, N) where N is the number of points in each signal. I would like to display the 64 signals using subplots. fig = figure(figsize=(12,8)) time = np.arange(0, Nt, 1) for x in range(8): for y in range(8): subplot(8,y+1,x+1) plot(time,H[x,y,:]) What I get is 8 signals in the first row, 4 in the second one, then 2, 2, 1, 1, 1 and 1. 回答1: That's not how subplot indexing

问题 I have several time series signals (8x8) that I would like to plot using subplot. My data are stored in a matrix called H(x, y, N) where N is the number of points in each signal. I would like to display the 64 signals using subplots. fig = figure(figsize=(12,8)) time = np.arange(0, Nt, 1) for x in range(8): for y in range(8): subplot(8,y+1,x+1) plot(time,H[x,y,:]) What I get is 8 signals in the first row, 4 in the second one, then 2, 2, 1, 1, 1 and 1. 回答1: That's not how subplot indexing

问题 I have several time series signals (8x8) that I would like to plot using subplot. My data are stored in a matrix called H(x, y, N) where N is the number of points in each signal. I would like to display the 64 signals using subplots. fig = figure(figsize=(12,8)) time = np.arange(0, Nt, 1) for x in range(8): for y in range(8): subplot(8,y+1,x+1) plot(time,H[x,y,:]) What I get is 8 signals in the first row, 4 in the second one, then 2, 2, 1, 1, 1 and 1. 回答1: That's not how subplot indexing

问题 Ive got a lot of images of galaxies through different filters. each line of subplots represents a new object with a unique 'ID'. Im plotting all of these images using the subplot function but am having trouble adding the ID name. Ideally the ID would stretch in front of several subplots but at the moment it is placed behind (see picture). Does anyone know of a way to fix this? plt.close('all') ID=np.array([]) cata=csv.reader(open('final_final_list.csv',"rU")) for x in cata: ID=np.append(ID,x

问题 What I want to do is a 2x2 diagrams in a subplot. Then, for each figure, I am going to use two y-axes. Therefore, I used twinx() method for each diagram. The problem as you see in the figure I shared is that it does not show xlabel and xticks for first row. For the second row, everything is fine. I have specified the problem in red font in the figure ("No xlabel and xticks!!!"). Each diagram has its own x-axis and y-axis and there is no sharing in that. I have tweaked this code a lot and

问题 What I want to do is a 2x2 diagrams in a subplot. Then, for each figure, I am going to use two y-axes. Therefore, I used twinx() method for each diagram. The problem as you see in the figure I shared is that it does not show xlabel and xticks for first row. For the second row, everything is fine. I have specified the problem in red font in the figure ("No xlabel and xticks!!!"). Each diagram has its own x-axis and y-axis and there is no sharing in that. I have tweaked this code a lot and

问题 I would like to draw animated subplots with ArtistAnimation. Unfortunately, I cannot figure out how to have an animated legend. I tried out different methods I found on StackOverflow. If I manage to get a legend it is not animated, but just the legends of all animation steps together. My code looks like this: import numpy as np import pylab as pl import matplotlib.animation as anim fig, (ax1, ax2, ax3) = pl.subplots(1,3,figsize=(11,4)) ims = [] im1 = ['im11','im12','im13'] im2 = ['im21','im22

问题 I wrote the following snippet and I am trying to make it update the plots. What I get instead is an overlapping of new plots on the old ones. I researched a bit and found I needed relim() and autoscale_view(True,True,True) on the current axis. I still cannot get the desired behaviour. Is there a way to force pyplot to delete/remove the old drawing before calling plt.draw()? import numpy as np import matplotlib.pyplot as plt import time plt.ion() a = np.arange(10) fig,ax = plt.subplots(2,1)