visualization

How to create a heat-map with multiple colormaps?

笑着哭i 提交于 2021-01-27 19:05:23
问题 As illustrated below, I am looking for an easy way to combine two or more heat-maps into one, i.e., a heat-map with multiple colormaps. The idea is to break each cell into multiple sub-cells. I couldn't find any python library with such a visualization function already implemented. Anybody knows something (at least) close to this? 回答1: The heatmaps can be drawn column by column. White gridlines can mark the cell borders. import numpy as np from matplotlib import pyplot as plt a = np.random

Plotting the branches of a complex function

纵然是瞬间 提交于 2021-01-21 11:22:17
问题 I'm trying to plot a kind of Riemann's surface of a function (I'm not sure if it's the right name for the thing), as shown below: Here's what I tried: r = (0:1:15)'; % create a matrix of complex inputs theta = pi*(-1:0.05:1); z = r*exp(1i*theta); w = z.^(1/2) ; % calculate the complex outputs figure('Name','Graphique complexe','units','normalized','outerposition',[ 0.08 0.1 0.8 0.55]); subplot(121) surf(real(z),imag(z),real(w),imag(w)) % visualize the complex function using surf xlabel('Real

Plotting the branches of a complex function

删除回忆录丶 提交于 2021-01-21 11:21:45
问题 I'm trying to plot a kind of Riemann's surface of a function (I'm not sure if it's the right name for the thing), as shown below: Here's what I tried: r = (0:1:15)'; % create a matrix of complex inputs theta = pi*(-1:0.05:1); z = r*exp(1i*theta); w = z.^(1/2) ; % calculate the complex outputs figure('Name','Graphique complexe','units','normalized','outerposition',[ 0.08 0.1 0.8 0.55]); subplot(121) surf(real(z),imag(z),real(w),imag(w)) % visualize the complex function using surf xlabel('Real

R renderPlotly has white background

与世无争的帅哥 提交于 2020-12-15 04:38:58
问题 I am new in R . This moment I am going to draw some visualization using ggplot2 (Everything is done). My visualization has an image as a background. When I am going to use renderPlotly on the server and plotlyOutput in UI, but background is always white. If I use renderPlot on the server and plotOutput in UI, it works fine. I really need to use renderPlotly . Also, I tried to use ggplotly . ggplotly(ggplot2_object) but background is still white. Any ideas ? Thanks ! 来源: https://stackoverflow

R renderPlotly has white background

試著忘記壹切 提交于 2020-12-15 04:38:50
问题 I am new in R . This moment I am going to draw some visualization using ggplot2 (Everything is done). My visualization has an image as a background. When I am going to use renderPlotly on the server and plotlyOutput in UI, but background is always white. If I use renderPlot on the server and plotOutput in UI, it works fine. I really need to use renderPlotly . Also, I tried to use ggplotly . ggplotly(ggplot2_object) but background is still white. Any ideas ? Thanks ! 来源: https://stackoverflow

How to make plots appear in Rmarkdown file instead of viewer pane when working with keras in Rstudio?

﹥>﹥吖頭↗ 提交于 2020-12-13 03:17:21
问题 I am new in R and trying keras in Rstudio . All the accuracy , loss interactive plots by running fit() are appearing in Viewer pane instead of Rmarkdown file. All other plots usually plot inside Rmarkdown files but not with keras. I have also checked Global settings in Rstudio Tools>Global Options>R Markdown>Show output preview in "Window" . How do I make them plot in Rmarkdown instead of Viewer Pane. How do I make this mandatory for all plots to create inside Rmarkdown files only and now in

How to make plots appear in Rmarkdown file instead of viewer pane when working with keras in Rstudio?

无人久伴 提交于 2020-12-13 03:15:40
问题 I am new in R and trying keras in Rstudio . All the accuracy , loss interactive plots by running fit() are appearing in Viewer pane instead of Rmarkdown file. All other plots usually plot inside Rmarkdown files but not with keras. I have also checked Global settings in Rstudio Tools>Global Options>R Markdown>Show output preview in "Window" . How do I make them plot in Rmarkdown instead of Viewer Pane. How do I make this mandatory for all plots to create inside Rmarkdown files only and now in

How to make plots appear in Rmarkdown file instead of viewer pane when working with keras in Rstudio?

我是研究僧i 提交于 2020-12-13 03:15:24
问题 I am new in R and trying keras in Rstudio . All the accuracy , loss interactive plots by running fit() are appearing in Viewer pane instead of Rmarkdown file. All other plots usually plot inside Rmarkdown files but not with keras. I have also checked Global settings in Rstudio Tools>Global Options>R Markdown>Show output preview in "Window" . How do I make them plot in Rmarkdown instead of Viewer Pane. How do I make this mandatory for all plots to create inside Rmarkdown files only and now in

Plotly: How to change the colorscheme of a plotly express scatterplot?

瘦欲@ 提交于 2020-12-01 10:49:11
问题 I am trying to work with plotly, specifically ploty express, to build a few visualizations. One of the things I am building is a scatterplot I have some code below, that produces a nice scatterplot: import plotly.graph_objs as go, pandas as pd, plotly.express as px df = pd.read_csv('iris.csv') fig = px.scatter(df, x='sepal_length', y='sepal_width', color='species', marker_colorscale=px.colors.sequential.Viridis) fig.show() However, I want to try and change the colorscheme, i.e., the colors

Plotly: How to change the colorscheme of a plotly express scatterplot?

喜夏-厌秋 提交于 2020-12-01 10:48:57
问题 I am trying to work with plotly, specifically ploty express, to build a few visualizations. One of the things I am building is a scatterplot I have some code below, that produces a nice scatterplot: import plotly.graph_objs as go, pandas as pd, plotly.express as px df = pd.read_csv('iris.csv') fig = px.scatter(df, x='sepal_length', y='sepal_width', color='species', marker_colorscale=px.colors.sequential.Viridis) fig.show() However, I want to try and change the colorscheme, i.e., the colors