ticker

问题 I have plotted some data with Python and tried to change the ticks with FuncFormatter . Now I want to change the segmentation into round numbers. I also want minor ticks in the same formation, in my case it would be a 1/x segmentation. I want the scaling to spread. The pictures will help you to imagine my issue. import numpy as np import matplotlib.pyplot as plt import matplotlib.ticker as tick x = np.array([805.92055,978.82006,564.88627,813.70311,605.73361,263.27184,169.40317]) y = np.array(

问题 I have plotted some data with Python and tried to change the ticks with FuncFormatter . Now I want to change the segmentation into round numbers. I also want minor ticks in the same formation, in my case it would be a 1/x segmentation. I want the scaling to spread. The pictures will help you to imagine my issue. import numpy as np import matplotlib.pyplot as plt import matplotlib.ticker as tick x = np.array([805.92055,978.82006,564.88627,813.70311,605.73361,263.27184,169.40317]) y = np.array(

问题 I have an intraday dataframe called SPX containing 5 minute tick data of the SPX index. It is currently in a dataframe and I wish to convert it into a wonderful timeseries. This is what it looks like currently: timestamp open high low close volume 1 2020-04-03 09:35:00 2516. 2524. 2513. 2522. 0 2 2020-04-03 09:40:00 2523. 2528. 2519. 2528. 45796799 3 2020-04-03 09:45:00 2528. 2538. 2526. 2533. 46888484 4 2020-04-03 09:50:00 2533. 2535. 2527. 2528 37476420 5 2020-04-03 09:55:00 2528. 2530.

问题 I have an intraday dataframe called SPX containing 5 minute tick data of the SPX index. It is currently in a dataframe and I wish to convert it into a wonderful timeseries. This is what it looks like currently: timestamp open high low close volume 1 2020-04-03 09:35:00 2516. 2524. 2513. 2522. 0 2 2020-04-03 09:40:00 2523. 2528. 2519. 2528. 45796799 3 2020-04-03 09:45:00 2528. 2538. 2526. 2533. 46888484 4 2020-04-03 09:50:00 2533. 2535. 2527. 2528 37476420 5 2020-04-03 09:55:00 2528. 2530.

问题 I have a multi-index dataframe dfc which I want to plot as a bar chart with the color of the tick on the yaxis depending on the value of dfc.iloc[i].values[1] for any value i. Unnamed: 1 claimed_benefit perceived_benefit My Burberry - Eau de Parfum je me sens bien 0 0.000000 Her Intense - Eau de Parfum convient bien moi 0 0.000000 Her Intense - Eau de Parfum sensuelle / sexy 0 0.000000 Her Intense - Eau de Parfum nettoyer 0 0.000000 Her Intense - Eau de Parfum haute qualite 0 0.000000 ... ...

问题 I have a multi-index dataframe dfc which I want to plot as a bar chart with the color of the tick on the yaxis depending on the value of dfc.iloc[i].values[1] for any value i. Unnamed: 1 claimed_benefit perceived_benefit My Burberry - Eau de Parfum je me sens bien 0 0.000000 Her Intense - Eau de Parfum convient bien moi 0 0.000000 Her Intense - Eau de Parfum sensuelle / sexy 0 0.000000 Her Intense - Eau de Parfum nettoyer 0 0.000000 Her Intense - Eau de Parfum haute qualite 0 0.000000 ... ...

问题 I have a bar chart that looks like how I want it to look, except for the scientific notation on the y-axes. Some other solutions included using ax.yaxis.set_major_formatter(tick) which didn't work. Also, I tried checking whether this was an offset-problem, but it should have shown a '+' sign, which it doesn't in this case. Whenever I use: plt.ticklabel_format(style='plain') I get an error message saying: Traceback (most recent call last): File "C:\Python\lib\site-packages\matplotlib\axes\

问题 I would like to change my ticker interval dynamically. I've written down an example to show you how I did. My use case is something else than an "accelerometer" but I hope that it gives you an idea. http://play.golang.org/p/6ANFnoE6pA package main import ( "time" "log" "fmt" ) func main() { interval := float64(1000) ticker := time.NewTicker(time.Duration(interval) * time.Millisecond) go func(){ counter := 1.0 for range ticker.C { log.Println("ticker accelerating to " + fmt.Sprint(interval

问题 I've tried various approaches, the current is as follows $(document).ready(function(){ $('#stage').click(function(){ jQuery.getJSON('https://mtgox.com/api/1/BTCUSD/ticker?callback=showTick',function(ticker){ $('div#tickerbox').html(ticker)} )})}) Losing my mind . . . 回答1: I built php tools to make this easy , providing pure text tickers, html tickers, and even image ticker( and other tools like rss ticker feeds ). have a look at the code on : https://github.com/neofutur/bitcoin_simple_php

问题 I've tried various approaches, the current is as follows $(document).ready(function(){ $('#stage').click(function(){ jQuery.getJSON('https://mtgox.com/api/1/BTCUSD/ticker?callback=showTick',function(ticker){ $('div#tickerbox').html(ticker)} )})}) Losing my mind . . . 回答1: I built php tools to make this easy , providing pure text tickers, html tickers, and even image ticker( and other tools like rss ticker feeds ). have a look at the code on : https://github.com/neofutur/bitcoin_simple_php