subplot

* Please help it's very important: Why is not possible to get subplots of cloumns of Pandas dataframe by using HeatMap inside of for-loop? I am trying to create subplots of columns in pandas dataframe inside of for-loop during iterations since I plot result for every cycle that is for each 480 values to get all 3 subplots belong to A, B, C side by side in one window. I've found only one answer here which I'm afraid is not my case! @euri10 answered by using flat . My scripts are following: # Import and call the needed libraries import numpy as np import pandas as pd import os import seaborn as

I have a group of plots that I want to display as subplots . I can add most of them but I'm struggling to add a particular one. For the code below I can add the subplot for Plot One and Plot Three but I can't add the subplot to Plot Two . There's no error but it gets produced as a separate figure . import pandas as pd import matplotlib.pyplot as plt d = ({ 'A' : ['1','1','1','2','2','2','3','3','3','3'], 'B' : ['A','B','C','A','B','C','D','A','B','C'], 'C' : ['John','Carl','Carl','John','Lily','John','Lily','John','Carl','Carl'], 'D' : [1,2,3,4,5,6,7,8,9,10], 'E' : [0,2,4,6,5,6,7,8,9,10], })

I'm making a grid of plots using matplotlib.pyplot.subplots , and I want the tick labels to be in LaTeX's sans-serif font, but when I do use subplots I always get at least one tick label rendered in matplotlib's default font. Here's a MWE: import matplotlib.pyplot as plt fig, axes = plt.subplots(nrows=1, ncols=1) x = [1,2,3,4,5] plt.plot(x) plt.rc('text', usetex=True) plt.rc('font', family='sans-serif') plt.show() If you comment out the fig, axes = plt.subplots line, the tick labels display as they should. I'm using python version 3.6.0 and matplotlib version 2.0.0 Changes to the rcParams

I have used the following loop to get subplots: for j=1:19; Aj=B(j,:); subplot(5,4,j); plot(Aj,h) end For all these subplots, I need to have only one x-label and one y-label. How to do this? Also how to insert legend to all the subplots? You can use suplabel from the FileExchange to have combined x and y label for all subplots. Example: subplot(1,2,1); plot(randperm(40)); hold on; plot(randperm(40)); %Plotting some random data legend('show') %To show the legend subplot(1,2,2); plot(randperm(40)); hold on; plot(randperm(40)); %Plotting some random data legend('show') %To show the legend %Using

I recently found the function subplots, which seems to be a more elegant way of setting up multiple subplots than subplot. However, I don't seem to be able to be able to change the properties of the axes for each subplot. import matplotlib.pyplot as plt import matplotlib as mpl import numpy as npx = np.linspace(0, 20, 100) fig, axes = plt.subplots(nrows=2) for i in range(10): axes[0].plot(x, i * (x - 10)**2) plt.ylabel('plot 1') for i in range(10): axes[1].plot(x, i * np.cos(x)) plt.ylabel('plot 2') plt.show() Only the ylabel for the last plot is shown. The same happens for xlabel, xlim and

Is there an easy way to modify this code so that the plots are bigger without changing the scale on the axes? import numpy as np import matplotlib.pyplot as plt import math %matplotlib inline a, c = -10, 10 x = np.linspace(a,c,100) x = np.array(x) def y(x): return np.arctan(x) h = 0.0000001 def grad(x,h): return (y(x+h)-y(x))/h m = grad(x,h) plt.figure(1) plt.subplot(121) plt.plot(x, y(x), 'b') plt.xlim([a,c]) plt.ylim([min(y(x)),max(y(x))]) plt.gca().set_aspect('equal', adjustable='box') plt.subplot(122) plt.plot(x,m,'b') plt.xlim([a,c]) plt.ylim([min(m),max(m)]) plt.gca().set_aspect('equal',

I want to create a python programm that is able to plot multiple graphs into one PDF file, however the number of subplots is variable. I did this already with one plot per page. However, since i got someteimes arround 100 plots that makes a lot of scrolling and is not really clearly shown. Therefore I would like to get like 5X4 subpltots per page. I wrote code for that alreaedy, the whole code is long and since im very new to pyhton it looks terrible to someone who knows what to do, however the ploting part looks like this: rows = (len(tags))/5 fig = plt.figure() count = 0 for keyInTags in