visualization | 易学教程

Is this a valid visualization of the “git stash” operation?

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问题 I can not find a good visualization of the git stash operation. So I created my own based on some rare comments on the internet. This this visualization correct? Edit note: I need to change the color of stash@{0} because it's no branch. Where are stashes stored in my .git directory? I think it's a reference and stored in refs , right? Legend: C1, C2 - commits Idx - Index WD - working directory dashed line and dashed borders => free for garbage collection Reworked Image 回答1: The "before git

Distribution probabilities for each column data frame, in one plot

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I am creating probability distributions for each column of my data frame by distplot from seaborn library sns.distplot(). For one plot I do x = df['A'] sns.distplot(x); I am trying to use the FacetGrid & Map to have all plots for each columns at once in this way. But doesn't work at all. g = sns.FacetGrid(df, col = 'A','B','C','D','E') g.map(sns.distplot()) I think you need to use melt to reshape your dataframe to long format, see this MVCE: df = pd.DataFrame(np.random.random((100,5)), columns = list('ABCDE')) dfm = df.melt(var_name='columns') g = sns.FacetGrid(dfm, col='columns') g = (g.map

Performance data collection and visualisation tool

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问题 I have a performance test suite that during the run collects response time information (in a CSV format). Also I have a set of monitoring scripts that collect running application metrics (also in CSV format) on the server. I would like to automate a visualisation of those datasets (basically, time series) e.g. some web application where I can upload all datasets and get them displayed in a nice chart with posbility of filtering by time period, displaying data in different slices and

Pivoting SQLite table, setwise like SQL should be

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问题 I have some data. 224,000 rows of it, in a SQLite database. I want to extract time series information from it to feed a data visualisation tool. Essentially, each row in the db is an event that has (among other things not strictly relevant) a time-date group in seconds since the epoch and a name responsible for it. I want to extract how many events each name has for every week in the db. That's simple enough: SELECT COUNT(*), name, strf("%W:%Y", time, "unixepoch") FROM events GROUP BY strf("

Visualize data and clustering [closed]

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Closed. This question is off-topic . It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 4 years ago . i am currently writing a python script to find the similarity between documents.I have already calculated the similarities score for each document pairs and store them in dictionaries. It looks something like this: {(8328, 8327): 1.0, (8313, 8306): 0.12405229825691289, (8329, 8328): 1.0, (8322, 8321): 0.99999999999999989, (8328, 8329): 1.0, (8306, 8316): 0.12405229825691289, (8320, 8319): 0.67999999999999989,

using stat_summary_hex to show most frequent value with discrete color scale

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问题 I have a data frame with 10k rows and 3 columns: xpos, ypos and cluster (cluster is a number from 0 to 9) here: http://pastebin.com/NyQw29tb I would like to show a hex plot with each hexagon colored according to the most-frequent cluster within that hexagon. So far I've got: library(ggplot2) library(hexbin) ggplot(clusters, aes(x=xpos, y=ypos, z=cluster)) + stat_summary_hex(fun.x=mode) Which I think is giving me what I want (i.e. is filling in every hexagon with a color from 0 to 9), but the

All Audio frequencies

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How can I get(Is it possible?) all audio frequencies are now playing in the system for writing some sound visualizer? Is there any library c++ or c#? Thanks in advance Basic steps are: apply window function to block of samples (e.g. 1024 samples, Hanning window) perform real-to-complex FFT on windowed samples take magnitude of each FFT output bin ( sqrt(re * re + im * im) ) identify peaks in resulting power spectrum estimate the bin index of each peak corresponds to the frequency of that component I am not sure, but i think you can use FMOD library to do that. Specifically, Get spectrum

Visualize XML tree structure

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问题 I have several XML files which have a similar structure but with some differences that I cannot overlook. They are all TEI documents. I am looking for a way to outline the main structure. Take the following text as an example: <text xmlns="http://www.tei-c.org/ns/1.0" xml:id="d1"> <body xml:id="d2"> <div1 type="book" xml:id="d3"> <head>Songs of Innocence</head> <pb n="4"/> <div2 type="poem" xml:id="d4"> <head>Introduction</head> <lg type="stanza"> <l>Piping down the valleys wild, </l> <l

Changing colors for decision tree plot created using export graphviz

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问题 I am using scikit's regression tree function and graphviz to generate the wonderful, easy to interpret visuals of some decision trees: dot_data = tree.export_graphviz(Run.reg, out_file=None, feature_names=Xvar, filled=True, rounded=True, special_characters=True) graph = pydotplus.graph_from_dot_data(dot_data) graph.write_png('CART.png') graph.write_svg("CART.svg") This runs perfectly, but I'd like to change the color scheme if possible? The plot represents CO 2 fluxes, so I'd like to make the

Real Time Audio Visualization Java

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问题 I have built an application using Java Sound API which enables to record and play the voice and the program shows a wave form of the recorded voice after the recording is finished. I want to show the wave form at the same time when the recording is done. Can anyone suggest a method or a java library to achieve this? Thanks a lot. 回答1: You could use Processing for your visualization. It does a good job of visualizing realtime data. Write your analyzer using Java Sound API to process the audio