As you must already know, Bitcoin became the first ever cryptocurrency when it was released in 2009 by Satoshi Nakamoto. Given that the maximum possible number of bitcoins generated is 21 million.
The persona Satoshi Nakamoto was involved in the early days of bitcoin, working on the first version of the software in 2009. Communication to and from Nakamoto was conducted electronically, and the lack of personal and background details meant that it was impossible to find out the actual identity behind the name.
Nakamoto’s involvement with bitcoin ended in 2010. The last correspondence anyone had with Nakamoto was in an email to another bitcoin developer saying that they had “moved on to other things.” The inability to put a face to the name has led to significant speculation as to Nakamoto’s identity, especially as cryptocurrencies increased in number, popularity, and notoriety.
However, with only one coin available, you couldn’t trade it with any other cryptocurrency.
It wasn’t until a few years later when more and more cryptocurrencies were created that people started trading them. The idea is really simple. You trade one cryptocurrency for another, with the hope that the coin you buy increases in value.
You’ve finally decided to start your cryptocurrency trading career, and you’re already thinking about how you’re going to spend your millions. There’s no doubt that cryptocurrency is an exciting market for investors, but unfortunately, success doesn’t happen as easy as that.
Many investors like to trade cryptocurrency because it’s an extremely volatile asset. If you can time the market right, trading crypto can give you much higher returns than traditional investments.
In all seriousness, cryptocurrency trading can be risky business. Yes, it’s true — some people have made lots of money. However, some people have lost lots of money too.
For those of you who are interested in learning about cryptocurrency trading, I’m here to help you get started. This beginners guide is going to show you everything you need to know.
You can begin inspecting a cryptocurrency as soon as you hear about it, before you begin any serious research:
In this article, I will provide you with a step-by-step guide to teach you how to do your own research and find crypto gems. For this, you do not need any special skills and knowledge. All you need are patience and some determination.
So, let’s go!
What is the objective? what they are solving? and what scale?
Get more details on cypherhunter and visit team members LinkedIn
(Mainly important, fundamentals)
For example: Roadmap for Geek.gl
3.5. Token Metrics:
3.6. Token Reward:
3.7. Community (support):
This is all of it to perform basic fundamentals research on cryptocurrency
Assuming that you heard about the cryptocurrency from a trusted source and it sounds solid, there are still some litmus-paper boxes that you can check before thinking about getting involved with a project.
Most cryptocurrencies are minted as a reward for verifying blocks of data that serve some function other than supporting the currency itself. If you're a Bitcoin tribalist, you may realize that Bitcoin fails this test.
That doesn't mean that Bitcoin is a scam. Bitcoin has been around long enough and has enough of a demand that supporting itself is enough. That's not likely to be true of any other coin playing this game. In other words, Bitcoin is not a scam but any coin promising to be the next bitcoin is probably a scam.
The downside of this is that it does mean that you might miss out on an opportunity to get into a project as one of the project's very first investors because you sat around waiting for a coin to prove itself. It's true. You could miss out on an opportunity to "get in on the ground floor." The good news is that you'll pass up a lot more opportunities to "get scammed."
If you really, really, really don't want to pass up what sounds like an amazing opportunity to buy up a brand new coin, get familiar with another crypto investment mantra: don't invest more than you can afford to lose.
The crypto shouldn't only promise to solve some a problem. It should promise to solve that problem in a way that makes sense.
Blockchain projects are typically laid out in a whitepaper—a publicly available document detailing the blockchain's mission and how it works. Even Bitcoin, which was published anonymously, has a publicly available whitepaper that is still widely read and circulated.
Having a whitepaper isn't enough. The whitepaper has to be good. For example, the Squid Game cryptocurrency that famously fleeced investors had a whitepaper, but it was poorly written and edited.
Unless you're a miner (or an investor with serious acumen), you probably shouldn't buy cryptocurrency outside of a proper cryptocurrency exchange. Exchanges allow you to buy and sell cryptocurrencies, and while different exchanges require coins to jump through different hoops to get listed, you'll be safer sticking to these exchanges.
This approach has the same pitfalls as the first tip: it will take time for a new cryptocurrency to be listed on a legitimate exchange. However, we are talking about exchanges that let you buy coins, not apps that let you buy "interest" in a coin, as PayPal does. These platforms are even more cautious than exchanges, and you can miss out on a good thing waiting that long.
In some cases, the blockchain itself will make a scam coin difficult to circulate in legitimate ways because wide circulation in legitimate circles could expose the coin more quickly.
Right now, decentralization is the name of the game. However, most legitimate cryptocurrency projects will have a publicly listed board of directors or even partner organizations supporting and developing the currency.
You don't have to know the names of all of the board members, but you should at least recognize the names of the companies enabling or using the blockchain. Even if you don't, you should be able to research those individuals and organizations to find out whether they are real and really involved.
Depending on how rigorous you are, you may or may not think that Bitcoin fits this list. We don't know who started the ball rolling after all. However, a lot of the people who are currently pushing that ball are less than anonymous and Bitcoin.org does have ways for you to learn more about the community of developers keeping Bitcoin alive.
This is a combination and reconsideration of some of the red flags covered in the introductory paragraphs. A coin worth investing in should solve a problem and solving that problem should be the goal of the coin's creators, not making money.
For example, GEEK is one of the most technologically ambitious coins out there. Why? In part because GEEK is built for long-term scale rather than as a get-rich-quick scheme or even as a conventional store of value. It's meant to do a job, and the financial rewards come second.
Before jumping on the List of VCs let’s understand what is good VC?
Bear in mind that this kind of research can take a long time to complete. While in some cases it might not be necessary or possible to cover all of the points, I listed up in this guide about how to research cryptocurrencies and projects, your aim should be to cover as many of them as possible.
Because in the end, this is all about protecting your investment and avoiding mistakes I made a few years back. I lost a lot of money because I thought it was not worth spending some time to make sure a project was legit.
I hope that you find this guide useful. Don't forget to leave a like, comment and sharing it with others. Thank you!
As all businessmen have said that you need money to work for you. I was actively looking on the Internet for ways to invest my money and found out how does limit order work that I had never heard of before. It seemed new to me and I want to invest my money in it. Do you think this is going to make me money?
of course you
The era of mobile app development has completely changed the scenario for businesses in regions like Abu Dhabi. Restaurants and food delivery businesses are experiencing huge benefits via smart business applications. The invention and development of the food ordering app have helped all-scale businesses reach new customers and boost sales and profit.
As a result, many business owners are searching for the best restaurant mobile app development company in Abu Dhabi. If you are also searching for the same, this article is helpful for you. It will let you know the step-by-step process to hire the right team of restaurant mobile app developers.
Searching for the top mobile app development company in Abu Dhabi? Don't know the best way to search for professionals? Don't panic! Here is the step-by-step process to hire the best professionals.
#Step 1 – Know the Company's Culture
Knowing the organization's culture is very crucial before finalizing a food ordering app development company in Abu Dhabi. An organization's personality is shaped by its common beliefs, goals, practices, or company culture. So, digging into the company culture reveals the core beliefs of the organization, its objectives, and its development team.
Now, you might be wondering, how will you identify the company's culture? Well, you can take reference from the following sources –
#Step 2 - Refer to Clients' Reviews
Another best way to choose the On-demand app development firm for your restaurant business is to refer to the clients' reviews. Reviews are frequently available on the organization's website with a tag of "Reviews" or "Testimonials." It's important to read the reviews as they will help you determine how happy customers are with the company's app development process.
You can also assess a company's abilities through reviews and customer testimonials. They can let you know if the mobile app developers create a valuable app or not.
#Step 3 – Analyze the App Development Process
Regardless of the company's size or scope, adhering to the restaurant delivery app development process will ensure the success of your business application. Knowing the processes an app developer follows in designing and producing a top-notch app will help you know the working process. Organizations follow different app development approaches, so getting well-versed in the process is essential before finalizing any mobile app development company.
#Step 4 – Consider Previous Experience
Besides considering other factors, considering the previous experience of the developers is a must. You can obtain a broad sense of the developer's capacity to assist you in creating a unique mobile application for a restaurant business.
You can also find out if the developers' have contributed to the creation of other successful applications or not. It will help you know the working capacity of a particular developer or organization. Prior experience is essential to evaluating their work. For instance, whether they haven't previously produced an app similar to yours or not.
#Step 5 – Check for Their Technical Support
As you expect a working and successful restaurant mobile app for your business, checking on this factor is a must. A well-established organization is nothing without a good technical support team. So, ensure whatever restaurant mobile app development company you choose they must be well-equipped with a team of dedicated developers, designers, and testers.
Strong tech support from your mobile app developers will help you identify new bugs and fix them bugs on time. All this will ensure the application's success.
#Step 6 – Analyze Design Standards
Besides focusing on an organization's development, testing, and technical support, you should check the design standards. An appealing design is crucial in attracting new users and keeping the existing ones stick to your services. So, spend some time analyzing the design standards of an organization. Now, you might be wondering, how will you do it? Simple! By looking at the organization's portfolio.
Whether hiring an iPhone app development company or any other, these steps apply to all. So, don't miss these steps.
#Step 7 – Know Their Location
Finally, the last yet very crucial factor that will not only help you finalize the right person for your restaurant mobile app development but will also decide the mobile app development cost. So, you have to choose the location of the developers wisely, as it is a crucial factor in defining the cost.
Restaurant mobile applications have taken the food industry to heights none have ever considered. As a result, the demand for restaurant mobile app development companies has risen greatly, which is why businesses find it difficult to finalize the right person. But, we hope that after referring to this article, it will now be easier to hire dedicated developers under the desired budget. So, begin the hiring process now and get a well-craft food ordering app in hand.
This Matplotlib cheat sheet introduces you to the basics that you need to plot your data with Python and includes code samples.
Data visualization and storytelling with your data are essential skills that every data scientist needs to communicate insights gained from analyses effectively to any audience out there.
For most beginners, the first package that they use to get in touch with data visualization and storytelling is, naturally, Matplotlib: it is a Python 2D plotting library that enables users to make publication-quality figures. But, what might be even more convincing is the fact that other packages, such as Pandas, intend to build more plotting integration with Matplotlib as time goes on.
However, what might slow down beginners is the fact that this package is pretty extensive. There is so much that you can do with it and it might be hard to still keep a structure when you're learning how to work with Matplotlib.
DataCamp has created a Matplotlib cheat sheet for those who might already know how to use the package to their advantage to make beautiful plots in Python, but that still want to keep a one-page reference handy. Of course, for those who don't know how to work with Matplotlib, this might be the extra push be convinced and to finally get started with data visualization in Python.
You'll see that this cheat sheet presents you with the six basic steps that you can go through to make beautiful plots.
Check out the infographic by clicking on the button below:
With this handy reference, you'll familiarize yourself in no time with the basics of Matplotlib: you'll learn how you can prepare your data, create a new plot, use some basic plotting routines to your advantage, add customizations to your plots, and save, show and close the plots that you make.
Matplotlib is a Python 2D plotting library which produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms.
>>> import numpy as np >>> x = np.linspace(0, 10, 100) >>> y = np.cos(x) >>> z = np.sin(x)
>>> data = 2 * np.random.random((10, 10)) >>> data2 = 3 * np.random.random((10, 10)) >>> Y, X = np.mgrid[-3:3:100j, -3:3:100j] >>> U = 1 X** 2 + Y >>> V = 1 + X Y**2 >>> from matplotlib.cbook import get_sample_data >>> img = np.load(get_sample_data('axes_grid/bivariate_normal.npy'))
>>> import matplotlib.pyplot as plt
>>> fig = plt.figure() >>> fig2 = plt.figure(figsize=plt.figaspect(2.0))
>>> fig.add_axes() >>> ax1 = fig.add_subplot(221) #row-col-num >>> ax3 = fig.add_subplot(212) >>> fig3, axes = plt.subplots(nrows=2,ncols=2) >>> fig4, axes2 = plt.subplots(ncols=3)
>>> plt.savefig('foo.png') #Save figures >>> plt.savefig('foo.png', transparent=True) #Save transparent figures
>>> fig, ax = plt.subplots() >>> lines = ax.plot(x,y) #Draw points with lines or markers connecting them >>> ax.scatter(x,y) #Draw unconnected points, scaled or colored >>> axes[0,0].bar([1,2,3],[3,4,5]) #Plot vertical rectangles (constant width) >>> axes[1,0].barh([0.5,1,2.5],[0,1,2]) #Plot horiontal rectangles (constant height) >>> axes[1,1].axhline(0.45) #Draw a horizontal line across axes >>> axes[0,1].axvline(0.65) #Draw a vertical line across axes >>> ax.fill(x,y,color='blue') #Draw filled polygons >>> ax.fill_between(x,y,color='yellow') #Fill between y values and 0
>>> fig, ax = plt.subplots() >>> im = ax.imshow(img, #Colormapped or RGB arrays cmap= 'gist_earth', interpolation= 'nearest', vmin=-2, vmax=2) >>> axes2.pcolor(data2) #Pseudocolor plot of 2D array >>> axes2.pcolormesh(data) #Pseudocolor plot of 2D array >>> CS = plt.contour(Y,X,U) #Plot contours >>> axes2.contourf(data1) #Plot filled contours >>> axes2= ax.clabel(CS) #Label a contour plot
>>> axes[0,1].arrow(0,0,0.5,0.5) #Add an arrow to the axes >>> axes[1,1].quiver(y,z) #Plot a 2D field of arrows >>> axes[0,1].streamplot(X,Y,U,V) #Plot a 2D field of arrows
>>> ax1.hist(y) #Plot a histogram >>> ax3.boxplot(y) #Make a box and whisker plot >>> ax3.violinplot(z) #Make a violin plot
The basic steps to creating plots with matplotlib are:
1 Prepare Data
2 Create Plot
4 Customized Plot
5 Save Plot
6 Show Plot
>>> import matplotlib.pyplot as plt >>> x = [1,2,3,4] #Step 1 >>> y = [10,20,25,30] >>> fig = plt.figure() #Step 2 >>> ax = fig.add_subplot(111) #Step 3 >>> ax.plot(x, y, color= 'lightblue', linewidth=3) #Step 3, 4 >>> ax.scatter([2,4,6], [5,15,25], color= 'darkgreen', marker= '^' ) >>> ax.set_xlim(1, 6.5) >>> plt.savefig('foo.png' ) #Step 5 >>> plt.show() #Step 6
>>> plt.cla() #Clear an axis >>> plt.clf(). #Clear the entire figure >>> plt.close(). #Close a window
>>> plt.plot(x, x, x, x**2, x, x** 3) >>> ax.plot(x, y, alpha = 0.4) >>> ax.plot(x, y, c= 'k') >>> fig.colorbar(im, orientation= 'horizontal') >>> im = ax.imshow(img, cmap= 'seismic' )
>>> fig, ax = plt.subplots() >>> ax.scatter(x,y,marker= ".") >>> ax.plot(x,y,marker= "o")
>>> plt.plot(x,y,linewidth=4.0) >>> plt.plot(x,y,ls= 'solid') >>> plt.plot(x,y,ls= '--') >>> plt.plot(x,y,'--' ,x**2,y**2,'-.' ) >>> plt.setp(lines,color= 'r',linewidth=4.0)
>>> ax.text(1, -2.1, 'Example Graph', style= 'italic' ) >>> ax.annotate("Sine", xy=(8, 0), xycoords= 'data', xytext=(10.5, 0), textcoords= 'data', arrowprops=dict(arrowstyle= "->", connectionstyle="arc3"),)
>>> plt.title(r '$sigma_i=15$', fontsize=20)
Limits & Autoscaling
>>> ax.margins(x=0.0,y=0.1) #Add padding to a plot >>> ax.axis('equal') #Set the aspect ratio of the plot to 1 >>> ax.set(xlim=[0,10.5],ylim=[-1.5,1.5]) #Set limits for x-and y-axis >>> ax.set_xlim(0,10.5) #Set limits for x-axis
>>> ax.set(title= 'An Example Axes', #Set a title and x-and y-axis labels ylabel= 'Y-Axis', xlabel= 'X-Axis') >>> ax.legend(loc= 'best') #No overlapping plot elements
>>> ax.xaxis.set(ticks=range(1,5), #Manually set x-ticks ticklabels=[3,100, 12,"foo" ]) >>> ax.tick_params(axis= 'y', #Make y-ticks longer and go in and out direction= 'inout', length=10)
>>> fig3.subplots_adjust(wspace=0.5, #Adjust the spacing between subplots hspace=0.3, left=0.125, right=0.9, top=0.9, bottom=0.1) >>> fig.tight_layout() #Fit subplot(s) in to the figure area
>>> ax1.spines[ 'top'].set_visible(False) #Make the top axis line for a plot invisible >>> ax1.spines['bottom' ].set_position(( 'outward',10)) #Move the bottom axis line outward
Original article source at https://www.datacamp.com
#matplotlib #cheatsheet #python
June – is the month of new beginnings, and what better way to start off fresh than by investing in one (or more) of the many new cryptocurrencies that have recently hit the market? In this article, we’ll give you our top picks for the best cryptocurrencies to invest in for June of 2022.
Overall, Solana is a very promising new cryptocurrency. Its fast transaction speed, strong team of developers, and major company partnerships make it a good choice for investors looking for a new currency to invest in.
Hashpe is a new cryptocurrency that was created in June of this year. It is based on the Bitcoin protocol, but it has some unique features that make it different from Bitcoin.
For one, Hashpe uses a different mining algorithm than Bitcoin. This means that it is more resistant to ASIC miners, which are specialized hardware that is designed for mining Bitcoin. This makes Hashpe more accessible to regular people who want to mine cryptocurrency.
Hashpe also has a built-in privacy feature called “zk-SNARKs.” This allows transactions on the Hashpe network to be private and secure.
Overall, Hashpe is a promising new cryptocurrency with some unique features that make it worth investing in.
Shiba Inu is a new cryptocurrency that was created in August 2020. It is an Ethereum token that was created as a parody of the popular Dogecoin. However, Shiba Inu has quickly gained popularity in its own right and is now one of the top 10 cryptocurrencies by market capitalization.
Investors are attracted to Shiba Inu because it has a very low supply of only 21 billion tokens. This compares to other popular cryptocurrencies like Bitcoin, which has a supply of 21 million. This limited supply means that Shiba Inu could potentially increase in value over time as demand increases.
Shiba Inu also has a very active community on social media. The coin has its own Twitter account with over 400,000 followers and an active Telegram group with over 8,000 members. This community helps to generate interest and awareness of the coin, which could lead to more people buying it.
Overall, Shiba Inu is a promising new cryptocurrency with a lot of potentials. Its low supply and active community could help it to increase in value over time.
Saitama Inu is a new cryptocurrency that was created in June of 2020. The team behind Saitama Inu is anonymous, but they are based in Japan. The currency is named after the Japanese anime character Saitama, who is known for his strength and power.
Saitama Inu has a total supply of 10,000,000,000 tokens and a circulating supply of 1,000,000,000 tokens. The currency is currently trading at $0.000016 USD.
The Saitama Inu team has plans to use the currency to build a decentralized social media platform. The platform will be called Soar and it will allow users to earn rewards for creating and sharing content.
So far, the team behind Saitama Inu has been very active on social media and they seem to be very committed to their project. The currency has a lot of potentials and it will be interesting to see how it develops over time.
Tezos is a new cryptocurrency that offers several unique features that make it an attractive investment. For one, Tezos uses a proof-of-stake algorithm instead of proof-of-work. This means that Tezos is more energy-efficient than other cryptocurrencies.
Another key feature of Tezos is its on-chain governance system. This system allows holders of Tezos tokens to vote on changes to the protocol. This helps to keep the Tezos network decentralized and responsive to the needs of its users.
Finally, Tezos has a strong development team behind it. The team is led by Arthur Breitman, who has a background in mathematics and computer science. This gives Tezos a solid foundation on which to build and grow.
Overall, Tezos is a promising new cryptocurrency with several unique features that make it worth investing in.
Cronos is a new cryptocurrency that was launched in June of 2018. Cronos is designed to be a more stable and secure form of currency than Bitcoin. It uses a Proof-of-Stake system, which means that users earn rewards for holding Cronos coins in their wallets. This helps to keep the currency more stable than other cryptocurrencies that use a Proof-of-Work system.
Cronos is also a very fast cryptocurrency. Transactions take only seconds to confirm. This makes it ideal for people who want to use cryptocurrency for everyday purchases.
Investors are bullish on Cronos, and the currency has already seen significant growth since its launch. If you’re looking for a new cryptocurrency to invest in, Cronos is a good option.
If you’re ready to invest in cryptocurrency, exchanges are the most secure and user-friendly way to purchase, sell, and trade digital assets.
Koinbazar is the best leading cryptocurrency exchange in the world because it offers a number of unique features compared to other exchanges.
Koinbazar offers a wide variety of cryptocurrencies to invest in, including Bitcoin, Ethereum, Litecoin, and more. They also offer a variety of different payment methods, so you can choose the one that best suits your needs.
For one, Koinbazar allows users to trade in Indian rupees. This is important because it means that users do not have to convert their currency into another currency (such as US dollars) before trading. This makes the trading process simpler and more convenient.
In addition, Koinbazar has low trading fees. It also offers a referral program, which gives users a 10K Shiba Inu (SHIB) if they refer new users to the platform.
#crypto #cryptos #cryptocurrency #invest #investments #investment #investing #cryptotrading
A handy cheat sheet for interactive plotting and statistical charts with Bokeh.
Bokeh distinguishes itself from other Python visualization libraries such as Matplotlib or Seaborn in the fact that it is an interactive visualization library that is ideal for anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.
Bokeh is also known for enabling high-performance visual presentation of large data sets in modern web browsers.
For data scientists, Bokeh is the ideal tool to build statistical charts quickly and easily; But there are also other advantages, such as the various output options and the fact that you can embed your visualizations in applications. And let's not forget that the wide variety of visualization customization options makes this Python library an indispensable tool for your data science toolbox.
Now, DataCamp has created a Bokeh cheat sheet for those who have already taken the course and that still want a handy one-page reference or for those who need an extra push to get started.
In short, you'll see that this cheat sheet not only presents you with the five steps that you can go through to make beautiful plots but will also introduce you to the basics of statistical charts.
In no time, this Bokeh cheat sheet will make you familiar with how you can prepare your data, create a new plot, add renderers for your data with custom visualizations, output your plot and save or show it. And the creation of basic statistical charts will hold no secrets for you any longer.
Boost your Python data visualizations now with the help of Bokeh! :)
The Python interactive visualization library Bokeh enables high-performance visual presentation of large datasets in modern web browsers.
Bokeh's mid-level general-purpose bokeh. plotting interface is centered around two main components: data and glyphs.
The basic steps to creating plots with the bokeh. plotting interface are:
>>> from bokeh.plotting import figure >>> from bokeh.io import output_file, show >>> x = [1, 2, 3, 4, 5] #Step 1 >>> y = [6, 7, 2, 4, 5] >>> p = figure(title="simple line example", #Step 2 x_axis_label='x', y_axis_label='y') >>> p.line(x, y, legend="Temp.", line_width=2) #Step 3 >>> output_file("lines.html") #Step 4 >>> show(p) #Step 5
Under the hood, your data is converted to Column Data Sources. You can also do this manually:
>>> import numpy as np >>> import pandas as pd >>> df = pd.OataFrame(np.array([[33.9,4,65, 'US'], [32.4, 4, 66, 'Asia'], [21.4, 4, 109, 'Europe']]), columns= ['mpg', 'cyl', 'hp', 'origin'], index=['Toyota', 'Fiat', 'Volvo']) >>> from bokeh.models import ColumnOataSource >>> cds_df = ColumnOataSource(df)
>>> from bokeh.plotting import figure >>>p1= figure(plot_width=300, tools='pan,box_zoom') >>> p2 = figure(plot_width=300, plot_height=300, x_range=(0, 8), y_range=(0, 8)) >>> p3 = figure()
>>> p1.circle(np.array([1,2,3]), np.array([3,2,1]), fill_color='white') >>> p2.square(np.array([1.5,3.5,5.5]), [1,4,3], color='blue', size=1)
>>> pl.line([1,2,3,4], [3,4,5,6], line_width=2) >>> p2.multi_line(pd.DataFrame([[1,2,3],[5,6,7]]), pd.DataFrame([[3,4,5],[3,2,1]]), color="blue")
Selection and Non-Selection Glyphs
>>> p = figure(tools='box_select') >>> p. circle ('mpg', 'cyl', source=cds_df, selection_color='red', nonselection_alpha=0.1)
>>> from bokeh.models import HoverTool >>>hover= HoverTool(tooltips=None, mode='vline') >>> p3.add_tools(hover)
>>> from bokeh.models import CategoricalColorMapper >>> color_mapper = CategoricalColorMapper( factors= ['US', 'Asia', 'Europe'], palette= ['blue', 'red', 'green']) >>> p3. circle ('mpg', 'cyl', source=cds_df, color=dict(field='origin', transform=color_mapper), legend='Origin')
>>> from bokeh.io import output_notebook, show >>> output_notebook()
>>> from bokeh.embed import file_html >>> from bokeh.resources import CON >>> html = file_html(p, CON, "my_plot") >>> from bokeh.io import output_file, show >>> output_file('my_bar_chart.html', mode='cdn')
>>> from bokeh.embed import components >>> script, div= components(p)
>>> from bokeh.io import export_png >>> export_png(p, filename="plot.png")
>>> from bokeh.io import export_svgs >>> p. output_backend = "svg" >>> export_svgs(p,filename="plot.svg")
Inside Plot Area
>>> p.legend.location = 'bottom left'
Outside Plot Area
>>> from bokeh.models import Legend >>> r1 = p2.asterisk(np.array([1,2,3]), np.array([3,2,1]) >>> r2 = p2.line([1,2,3,4], [3,4,5,6]) >>> legend = Legend(items=[("One" ,[p1, r1]),("Two",[r2])], location=(0, -30)) >>> p.add_layout(legend, 'right')
>>> p.legend. border_line_color = "navy" >>> p.legend.background_fill_color = "white"
>>> p.legend.orientation = "horizontal" >>> p.legend.orientation = "vertical"
>>> from bokeh.layouts import row >>>layout= row(p1,p2,p3)
>>> from bokeh.layouts import columns >>>layout= column(p1,p2,p3)
Nesting Rows & Columns
>>>layout= row(column(p1,p2), p3)
>>> from bokeh.layouts import gridplot >>> rowl = [p1,p2] >>> row2 = [p3] >>> layout = gridplot([[p1, p2],[p3]])
>>> from bokeh.models.widgets import Panel, Tabs >>> tab1 = Panel(child=p1, title="tab1") >>> tab2 = Panel(child=p2, title="tab2") >>> layout = Tabs(tabs=[tab1, tab2])
Linked Axes >>> p2.x_range = p1.x_range >>> p2.y_range = p1.y_range
>>> p4 = figure(plot_width = 100, tools='box_select,lasso_select') >>> p4.circle('mpg', 'cyl' , source=cds_df) >>> p5 = figure(plot_width = 200, tools='box_select,lasso_select') >>> p5.circle('mpg', 'hp', source=cds df) >>>layout= row(p4,p5)
>>> show(p1) >>> show(layout) >>> save(p1)
Original article source at https://www.datacamp.com
#python #datavisualization #bokeh #cheatsheet
The BEST 5 Cryptocurrency Tips for Beginners (2021)
📺 The video in this post was made by More LimSanity
The origin of the article: https://www.youtube.com/watch?v=BXbYwSpcIjw
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
Cryptocurrency trading is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money
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