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Engagement on YouTube is essential to the success of your channel. When you execute it properly, you develop a genuine connection with your audience and the larger community. They'll be aware that they can count on you for quality content that entertains and informs them, and they'll thank you by coming back and converting as a result. When you get it incorrect, you'll irritate and disappoint your audience. Additionally, you'll see when the ROI for any of your YouTube advertisements plummets, something you must absolutely prevent. YouTube Engagement: What is it? The actions visitors perform on your YouTube video or ... Read More
The internet is wonderful—until you encounter that one troll who won't go away. The best course of action in this case on YouTube is blocking. They won't be able to comment on your channel or any of your videos once you've blocked another YouTube channel. Additionally, any previous comments they have made will be hidden. Here's how to block a YouTube channel or someone on a mobile device. But, remember the blocked channels can still watch your videos and add them to their playlists but they can’t comment on your videos. How to Block Specific YouTube channels on a mobile ... Read More
This tutorial will discuss how to write a Swift program to find the hyperbolic arctangent of given radian value − atanh(a) = 1/2 * ln(1+a/1-a) In Swift, we can calculate the hyperbolic arctangent of the given radian value using the in-built atanh() function. This function returns the hyperbolic arctangent value of the specified number. Here, the specified number represents an angle. Syntax Following is the syntax − atanh(Num) Here, the value of Num can be of integer, float, or double type. The value of Num should be in between -1 to 1 range. If the value of Num is ... Read More
Plotly is an open-source Python library for creating charts. In this tutorial, we will show how you can use the features of Plotly to display specific axis tick values. Let us understand how to show all the X-axis tick values, Use plotly.graph_objects to generate figures. It contains a lot of methods to customize chart and render a chart into HTML format. Update_layout() method has X-axis parameter and the value must be assigned as tickmode='linear'. Follow the steps given below to show all the X-axis tick values. Step 1Import plotly.graphs_objs module and alias as go import plotly.graphs_objs as go ... Read More
Plotly is an open-source Python library for creating charts. You can use the features available in Plotly to save multiple plots into a single HTML file. For example, plotly.subplots() method can be used to add multiple plots. Follow the steps given to create subplots with Plotly express. Step 1 Import plotly.graphs_objs module and alias as go import plotly.graphs_objs as go Step 2 Import make_subplots to create subplots. from plotly.subplots import make_subplots Step 3 Import plotly offline plot. from plotly.offline import plot Step 4 Create traces for two scatter plots and store it inside figure. fig.add_trace(go.Scatter(x=[0, 1, 2], y=[5, 6, 7]), ... Read More
Plotly has features to group data values. You can also highlight all the values from a group on hover. In this tutorial, we will use plotly.io to generate the figures. It contains a lot of methods to customize the charts. Follow the steps given below to highlight all the values from a group on hover. Step 1 Import the plotly.io module and alias as pio. import plotly.io as pio Step 2 Create a list of values to form a dictionary. fonts = ['Arial', 'Arial', 'Courier', 'Arial', 'Courier', 'Arial'] shade = ['bold', 'bold', 'italic', 'italic', 'bold', 'bold'] score = [1, 2, ... Read More
Plotly supports two different libraries "Plotly graphs in a Dash app" and "Plotly Graph objects in Plotly Express". Dash is a Python framework and it is used to create interactive web-based dashboard applications. The dash library adds all the required libraries to web-based dashboard applications Import dash core components and html components. Add plotly.express method to generate graphs. Use the Dcc.Graph() method to set the style for height and width coordinates. In this tutorial, we will show how you can add multiple graphs to a Plotly Dash app on a single browser page. Follow the steps given below to generate ... Read More
Python Plotly has features that you can use to set the line color in a graph. In this tutorial, let us understand how to set the line color in Plotly. Here, we will use plotly.express to generate the figures. It contains a lot of methods to customize the charts and render a chart in HTML format. To set the line color, we will use the update_traces() method and set line_color with color values. Follow the steps given below to set the line color. Step 1 Import plotly.express module and alias as px. import plotly.express as px Step 2 Create a ... Read More
Plotly is an open-source Python library for creating charts. You can use the features available in Plotly to set multiple figures as subplots. In this tutorial, we will use plotly.graph_objects to generate the figures. It contains a lot of methods to customize chart and render a chart into HTML format. For example, plotly.subplots() method can be used to add subplots. Follow the steps given below to create subplots with Plotly express. Step 1 Import plotly.graphs_objs module and alias as go. import plotly.graphs_objs as go Step 2 Import make_subplots to create subplots. from plotly.subplots import make_subplots Step 3 Create subplots ... Read More
Plotly supports two different libraries "Plotly graphs in a Dash app" and "Plotly Graph objects and Plotly Express". Dash is a Python framework and it is used to create interactive web-based dashboard applications. For example, dash library adds all the required libraries to web-based dashboard applications. Import dash core components and HTML components. Add plotly.express method to generate graphs. Use the Dcc.Graph() method to set the style for height and width coordinates. Follow the steps given below to open a URL by clicking a data point. Step 1 Import the Dash library. import dash Step 2 Import the Dash ... Read More