visualization

问题 I saw this chart in a paper and need to reproduce it. How can I plot a figure like this in Python? Note that: I suspect bigger subplots are perhaps drawn using seaborn or using matplotlib's subplot The smaller plots are POINTING at a specific part of the curve in the bigger plots. 回答1: One strategy can be using mpl_toolkits.axes_grid1.inset_locator , as suggested in the answer to this question: How to overlay one pyplot figure on another I have made a quick example: import matplotlib.pyplot

问题 I am very new to graph visualizations and software like graph-tool (gt). My main field is mathematics, but I am somewhat familiar with Python and programming in general. However, I'm not a programmer, so my code may be less than elegant; any suggestions of improvement will be gratefully appreciated. Description: I am very fond of the circular layout with edge bundling used to visualize very large graphs. As an example, I am trying to plot the C.Elegans connectome using the wonderful Python

问题 When drawing a network, it would be nice if the labels of the nodes could also avoid network edges. E.g. in the example below, it would be possible to move all the labels outside the network. I've tried several packages, but so far have not found even a hacky way to do that. Is there a way? Example below: library(ggraph) library(tidygraph) reprex <- tibble(to = sample(1:10, 100,replace=T), from = sample(1:10, 100,replace=T) ) %>% as_tbl_graph() V(reprex)$label1 <- rep("label",10) reprex_plot

问题 I want to trace function/class executive order in scrapy framework. There are multiple *.py files across the default project, and I want to know which py file and class has been executed in order. It sound silly to put logger line in every class and function. How to visualize this order? cprofile is mainly used for measuring total time. I could also visualize the execution order inside one module, which is common question, but visualizing multiple modules are difficult. In terms of trace

问题 I want to trace function/class executive order in scrapy framework. There are multiple *.py files across the default project, and I want to know which py file and class has been executed in order. It sound silly to put logger line in every class and function. How to visualize this order? cprofile is mainly used for measuring total time. I could also visualize the execution order inside one module, which is common question, but visualizing multiple modules are difficult. In terms of trace

问题 This question already has an answer here : Matplotlib: change the colors of the result of group by (1 answer) Closed 7 months ago . Pandas dataframe groupby plot I have a similar dataframe to the one in the above question, but it has around 8 ticker symbols. I've defined a list of colours called 'colors' that correspond with the tickers, but when I do: df.groupby('ticker')['adj_close'].plot(color=colors) all the lines on the plot for each of the tickers are the same colour (i.e. the first

问题 This question already has an answer here : Matplotlib: change the colors of the result of group by (1 answer) Closed 7 months ago . Pandas dataframe groupby plot I have a similar dataframe to the one in the above question, but it has around 8 ticker symbols. I've defined a list of colours called 'colors' that correspond with the tickers, but when I do: df.groupby('ticker')['adj_close'].plot(color=colors) all the lines on the plot for each of the tickers are the same colour (i.e. the first

问题 I am trying to do analysis on a bike share dataset. Part of the analysis includes showing the weekends' demand in date wise plot. My dataframe in pandas with last 5 row looks like this. Here is my code for date vs total ride plot. import seaborn as sns sns.set_style("darkgrid") plt.plot(d17_day_count) plt.show() . I want to highlight weekends in the plot. So that it could look something similar to this plot. I am using Python with matplotlib and seaborn library. 回答1: You can easily highlight

问题 Currently, I am trying to find a way to load a custom map as a base map in Power BI. As I want to be able to load the map even when I have no connection to the internet, I have considered using my company's WMS servers, however that does not seem to be possible in Power BI right now. Thus, I'm trying to convert this file https://data.gov.sg/dataset/master-plan-2014-planning-area-boundary-web to the TopoJSON format so I am able to use it as a shape map in Power BI. After using the Mapshaper

问题 Currently, I am trying to find a way to load a custom map as a base map in Power BI. As I want to be able to load the map even when I have no connection to the internet, I have considered using my company's WMS servers, however that does not seem to be possible in Power BI right now. Thus, I'm trying to convert this file https://data.gov.sg/dataset/master-plan-2014-planning-area-boundary-web to the TopoJSON format so I am able to use it as a shape map in Power BI. After using the Mapshaper