Using Bokeh, you can create dashboards - a visual display of all your key data. So let the fun begin! What Is Bokeh?īokeh is a Python library for creating interactive visualizations for Web browsers. In this article, I'll walk you through the basics of Bokeh: how to install it, how to create basic charts, how to deploy them on Web servers, and more. However, what if you want to generate all these charts and graphics and let your users view them on Web browsers? Also, it would be useful if the users can interact with your charts dynamically and drill down into the details they want to see. These libraries are very useful for doing data exploration, as well as visualizing and generating graphics for reports. It is helpful in finding the correlation between the two variables which are selected.Most data analysts and scientists using Python are familiar with plotting libraries such as matplotlib, Seaborn, and Plotly. _label_text_font_size = "16px"Ī Scatter plot is used for plotting values of two variables in a dataset. # whiskers (almost-0 height rects simpler than segments) gment(cats_1, lower.score, cats_1, q_1.score, line_color = "black") gment(cats_1, upper.score, cats_1, q_3.score, line_color = "black") Lower.score = ) for (x,y) in zip(list(q_min.loc), lower.score)] Upper.score = ) for (x,y) in zip(list(q_max.loc), upper.score)] # if no outliers, we will shrink the lengths of stems to be no longer than the minimums or maximums Plot1 = fig(tools = "", background_fill_color = "#efefef", x_range = cats_1, toolbar_location = None) # here, we will prepare outlier data to plot, we would be needing coordinates for every outlier. Return group2) | (group2.score < lower.loc)] # now we will find the outliers for each category # now, we will find the quartiles and IQR for each category # generate some time series for six different categoriesĭata_frame = pnd.DataFrame(dict(score = y_y, group = g_1)) Python Tutorial Python Features Python History Python Applications Python Install Python Example Python Variables Python Data Types Python Keywords Python Literals Python Operators Python Comments Python If else Python Loops Python For Loop Python While Loop Python Break Python Continue Python Pass Python Strings Python Lists Python Tuples Python List Vs Tuple Python Sets Python Dictionary Python Functions Python Built-in Functions Python Lambda Functions Python Files I/O Python Modules Python Exceptions Python Date Python Regex Python Sending Email Read CSV File Write CSV File Read Excel File Write Excel File Python Assert Python List Comprehension Python Collection Module Python Math Module Python OS Module Python Random Module Python Statistics Module Python Sys Module Python IDEs Python Arrays Command Line Arguments Python Magic Method Python Stack & Queue PySpark MLlib Python Decorator Python Generators Web Scraping Using Python Python JSON Python Itertools Python Multiprocessing How to Calculate Distance between Two Points using GEOPY Gmail API in Python How to Plot the Google Map using folium package in Python Grid Search in Python Python High Order Function nsetools in Python Python program to find the nth Fibonacci Number Python OpenCV object detection Python SimpleImputer module Second Largest Number in Python
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