figure

Save multiple figures in one pdf page without using subplots

佐手、 提交于 2020-05-14 09:41:52
问题 I have a lot of figures and i want to get them on the same page in a pdf. Currently i am using the PDF backend, but it only writes them on one page per figure. What changes are needed to get a list of figures on one page? I don't want to use subplots because of several reasons of the code. So let's say it is not possible to change the plotting part. I only want to change the part where i save the figures to the pdf: for i in range(number_of_figures): fig = figures[i] pp.savefig(fig) pp.close(

Using PyCharm I want to show plot extra figure windows

喜你入骨 提交于 2020-05-12 21:19:27
问题 After installing Anaconda3 & PyCharm in new PC, I tried to test the same code as uploaded here And I got a window like this. But usually I use the plot window like this format (from google image search) I think the first view is useful for checking all of the plots, but I'm already used to the second version, separated plot figure from PyCharm console, and I can use the control panel. So I want to use PyCharm as in the second picture. How can I change my PyCharm settings to use the second

Using PyCharm I want to show plot extra figure windows

强颜欢笑 提交于 2020-05-12 21:08:38
问题 After installing Anaconda3 & PyCharm in new PC, I tried to test the same code as uploaded here And I got a window like this. But usually I use the plot window like this format (from google image search) I think the first view is useful for checking all of the plots, but I'm already used to the second version, separated plot figure from PyCharm console, and I can use the control panel. So I want to use PyCharm as in the second picture. How can I change my PyCharm settings to use the second

group multiple plot in one figure python

时光怂恿深爱的人放手 提交于 2020-05-10 21:14:08
问题 My function return 28 plots ( figure) but i need to group them on one figure this is my code for generating 28 plots for cat in df.ASS_ASSIGNMENT.unique() : a = df.loc[df['ASS_ASSIGNMENT'] == cat] dates = a['DATE'] prediction = a['CSPL_RECEIVED_CALLS'] plt.plot(dates,prediction) plt.ylabel("nmb_app") plt.legend([cat.decode('utf-8')],loc='best') plt.xlabel(cat.decode('utf-8')) 回答1: Use plt.subplots . For example, import numpy as np import matplotlib.pyplot as plt fig, axes = plt.subplots(ncols

group multiple plot in one figure python

前提是你 提交于 2020-05-10 21:12:15
问题 My function return 28 plots ( figure) but i need to group them on one figure this is my code for generating 28 plots for cat in df.ASS_ASSIGNMENT.unique() : a = df.loc[df['ASS_ASSIGNMENT'] == cat] dates = a['DATE'] prediction = a['CSPL_RECEIVED_CALLS'] plt.plot(dates,prediction) plt.ylabel("nmb_app") plt.legend([cat.decode('utf-8')],loc='best') plt.xlabel(cat.decode('utf-8')) 回答1: Use plt.subplots . For example, import numpy as np import matplotlib.pyplot as plt fig, axes = plt.subplots(ncols

group multiple plot in one figure python

≡放荡痞女 提交于 2020-05-10 21:11:46
问题 My function return 28 plots ( figure) but i need to group them on one figure this is my code for generating 28 plots for cat in df.ASS_ASSIGNMENT.unique() : a = df.loc[df['ASS_ASSIGNMENT'] == cat] dates = a['DATE'] prediction = a['CSPL_RECEIVED_CALLS'] plt.plot(dates,prediction) plt.ylabel("nmb_app") plt.legend([cat.decode('utf-8')],loc='best') plt.xlabel(cat.decode('utf-8')) 回答1: Use plt.subplots . For example, import numpy as np import matplotlib.pyplot as plt fig, axes = plt.subplots(ncols

Plot one figure at a time without closing old figure (matplotlib)

人盡茶涼 提交于 2020-04-16 01:55:41
问题 Is there a way to plot a set of figures one at a time without closing the previous figure, maintaining control of the UI, and keeping the figures open at the end? Perhaps using a more appropriate backend, or writing it using the OO style instead of the pyplot/pylab style used below? e.g. I know I can do plt.ioff() for i in range(10) plt.figure() arr = thisFunctionTakesTenSecondsToGenerateMyArray() plt.plot(arr) plt.show() which will wait for me to close the figure at every iteration I can

Plot one figure at a time without closing old figure (matplotlib)

只愿长相守 提交于 2020-04-16 01:53:50
问题 Is there a way to plot a set of figures one at a time without closing the previous figure, maintaining control of the UI, and keeping the figures open at the end? Perhaps using a more appropriate backend, or writing it using the OO style instead of the pyplot/pylab style used below? e.g. I know I can do plt.ioff() for i in range(10) plt.figure() arr = thisFunctionTakesTenSecondsToGenerateMyArray() plt.plot(arr) plt.show() which will wait for me to close the figure at every iteration I can

Plot one figure at a time without closing old figure (matplotlib)

夙愿已清 提交于 2020-04-16 01:52:06
问题 Is there a way to plot a set of figures one at a time without closing the previous figure, maintaining control of the UI, and keeping the figures open at the end? Perhaps using a more appropriate backend, or writing it using the OO style instead of the pyplot/pylab style used below? e.g. I know I can do plt.ioff() for i in range(10) plt.figure() arr = thisFunctionTakesTenSecondsToGenerateMyArray() plt.plot(arr) plt.show() which will wait for me to close the figure at every iteration I can

Export Figures for LaTeX Writing

99封情书 提交于 2020-04-13 19:31:44
【今日推荐】:为什么一到面试就懵逼!>>> Export a figure: function createfigure(YMatrix1,YMatrix2,YMatrix3) %CREATEFIGURE(YMATRIX1) % YMATRIX1\2\3: y 数据的矩阵 % 创建 figure figure1 = figure; % 创建 axes axes1 = axes('Parent',figure1); box(axes1,'on'); grid(axes1,'on'); hold(axes1,'all'); % 使用 plot 的矩阵输入创建多行 plot(YMatrix1,'o-b','Parent',axes1); plot(YMatrix2,'^-r','Parent',axes1); plot(YMatrix3,'-sg','Parent',axes1); % 创建 xlabel,ylabel x=xlabel('$$n_0$$'); y=ylabel('$$P_c$$'); % 创建 legend legend1 = legend('\it{Bit}','\it{Pixel}','\it{Permutation matrix}'); % 设置样式 set(gca,'fontsize',11); set(gca,'Fontname','times new