subplot

问题 I'm sure I am missing something obvious, but why is sharex=True, sharey=True not working? I expected the xlims and xticks to be the same for both subplots, and the ylims/yticks to be the same for both subplots. Using Python 3.8.3, matplotlib 3.2.1. x1, y1 = [(2,7,1), (6,2,2)] x2, y2 = [(8,3,0), (1,4,9)] fig, ax = plt.subplots(2,1, sharex=True, sharey=True, figsize=(15, 8)); ax1 = plt.subplot(2,1,1); ax1.scatter(x1, y1, c='red', label='Set1'); ax2 = plt.subplot(2,1,2); ax2.scatter(x2, y2, c=

问题 I've spent entirely too long researching how to get two subplots to share the same y-axis with a single colorbar shared between the two in Matplotlib. What was happening was that when I called the colorbar() function in either subplot1 or subplot2 , it would autoscale the plot such that the colorbar plus the plot would fit inside the 'subplot' bounding box, causing the two side-by-side plots to be two very different sizes. To get around this, I tried to create a third subplot which I then

问题 I am currently trying to plot many subplots in Matplotlib (Python 3.6, Matplotlib 2.0.0) using GridSpec. Here is the minimal working example: import matplotlib.pyplot as plt from matplotlib.gridspec import * # Color vector for scatter plot points preds = np.random.randint(2, size=100000) # Setup the scatter plots fig = plt.figure(figsize=(8,8)) grid = GridSpec(9, 9) # Create the scatter plots for ii in np.arange(0, 9): for jj in np.arange(0, 9): if (ii > jj): ax = fig.add_subplot(grid[ii, jj]

问题 I have a number of subplots in a figure fig1 , created via ax = fig1.add_subplot(221) I then plot stuff in each of the subplots via im=ax.plot(x,y) and add some axis labels via ax.set_xlabel('xlabel') I would then like to clear a specific subplot completely, as described in When to use cla(), clf() or close() for clearing a plot in matplotlib?. However the problem is that ax.cla() and ax.clear() seem to only clear the data from the plot, without removing the axes, axis tick labels etc. On the

问题 Very similar to this post. However I have more plots than that fit on one page causing the remaining plots to be cut off after pressing Knit. Does any one know how to solve this by plotting the other plots on the next page? title: 'title' author: "--" date: "`r Sys.Date()`" output: pdf_document header-includes: - \usepackage{subfig} - \usepackage{float} ## To make the example more reproducible ## ```{r echo=FALSE, message=FALSE} knitr::opts_chunk$set(fig.width=6, fig.height=9, fig.show="hold"

问题 I have used cufflinks to plot a few subplots, their scale ranges are different. I want same scales so I can compare the subplots. Is there a way to customize the axes of each subplot in cufflinks? This link shows the picture of the subplots, the subplots of row 1, column1 and column2 have different ranges on the y axes. Is there a way to change the range of graph DRV.FV to -5 to 10? MCVE: df=cf.datagen.lines(4) df.iplot(subplots=True, subplot_titles=True, legend=False) I have taken this from

问题 I have used cufflinks to plot a few subplots, their scale ranges are different. I want same scales so I can compare the subplots. Is there a way to customize the axes of each subplot in cufflinks? This link shows the picture of the subplots, the subplots of row 1, column1 and column2 have different ranges on the y axes. Is there a way to change the range of graph DRV.FV to -5 to 10? MCVE: df=cf.datagen.lines(4) df.iplot(subplots=True, subplot_titles=True, legend=False) I have taken this from

问题 I'm plotting 8 columns into one figure by using subplots function. However, it shows "IndexError: too many indices for array" # -*- coding: utf-8 -*- import pandas as pd from matplotlib import pyplot as plt from matplotlib import style df = pd.read_csv('XXXX', encoding='utf-8') num = 0 for dim in ['A','B','C','D','E','F','G','H']: fig, axes = plt.subplots(nrows=8, ncols=1) df[dim].plot(ax=axes[num,0]) plt.xlabel(dim) num += 1 plt.show() 回答1: There are two problems with your code: First, you

问题 I am saving two separate figures, that each should contain 2 plots together. The problem is that the first figure is ok, but the second one, does not gets overwritten on the new plot but on the previous one, but in the saved figure, I only find one of the plots : This is the first figure , and I get the first figure correctly : import scipy.stats as s import numpy as np import os import pandas as pd import openpyxl as pyx import matplotlib matplotlib.rcParams["backend"] = "TkAgg" #matplotlib

问题 I am saving two separate figures, that each should contain 2 plots together. The problem is that the first figure is ok, but the second one, does not gets overwritten on the new plot but on the previous one, but in the saved figure, I only find one of the plots : This is the first figure , and I get the first figure correctly : import scipy.stats as s import numpy as np import os import pandas as pd import openpyxl as pyx import matplotlib matplotlib.rcParams["backend"] = "TkAgg" #matplotlib