Plotly is an open-source plotting library in Python. Python users can use Plotly to generate different types of interactive web-based charts including scientific charts, 3D graphs, statistical charts, financial charts, etc. In this tutorial, we will show how you can use Plotly to generate multiple line charts. Here we will use plotly.express to generate figures. It contains a lot of methods to customize the charts and render them into HTML format. Follow the steps given below to generate a multiple line chart using Plotly Express. Step 1 Import the plotly.express module and alias as px. import plotly.express as px ... Read More

Plotly is an open-source plotting library in Python that can generate several different types of interactive web-based charts. Plotly can also be used in static document publishing and desktop editors such as PyCharm and Spyder. In this tutorial, we will see how to manually set the color of points in a scatter plot using Plotly. We will use the plotly.express module to generate scatter plots and then use the update_traces() method to set the desired color plot. Follow the steps given below to manually set the color of points in a Scatter plot. Step 1 Import the plotly.express module and ... Read More

Plotly is an open-source plotting library in Python that can generate several different types interactive web-based visualizations that can be displayed in Jupyter notebooks, saved to standalone HTML files, or served as a part of web applications using Dash. Plotly can also be used in static document publishing and desktop editors such as PyCharm and Spyder. In this tutorial, we will show how you can use Plotly to plot multiple lines on the same Y-axis on a chart. Here we will use plotly.express to generate figures. It contains a lot of methods to customize chart and render a chart into ... Read More

Plotly is an open-source Python library for creating interactive web-based charts. In this tutorial, we will show how you can Plotly to apply color/shape/size in a Scatter Plot. Here, we will use the plotly.graph_objects module to generate figures. It contains a lot of method to generate charts. In addition, we will use the add_trace() method to create a scatter plot and then use the add_shape() method to set the type, shape, and line color. Finally, we will use the update_layout() method to set the height and width of the chart. Follow the steps given below to apply color/shape ... Read More

Plotly is an open source Python library for creating charts. Python users can use Plotly to create interactive web-based visualizations that can be displayed in Jupyter notebooks, saved to standalone HTML files, or served as a part of web applications using Dash. In this tutorial, we will show how you can use Plotly to display legend and label axes in a 3D scatter plot. Here, we will use plotly.express to generate figures. It contains a lot of methods to customize the charts and render them into HTML format. We will use the Pandas module can be used to create ... Read More

Plotly is an open-source Python plotting library for creating charts. Python users can use Plotly to create interactive web-based visualizations. It can also be used in static document publishing and desktop editors such as PyCharm and Spyder. In this tutorial, we will show how you can hide the Y-axis tick labels on a Plotly chart − Here, we will use the plotly.graph_objects module to generate figures. It contains a lot of method to generate charts. In addition, we will use the Layout method and its properties, showticklabels and visible" to show/hide the tick labels. Follow the steps given ... Read More

Plotly is an open-source plotting library in Python that can generate several different types of charts. Python users can use Plotly to create interactive web-based visualizations that can be displayed in Jupyter notebooks, saved to standalone HTML files, or served as a part of web applications using Dash. Plotly can also be used in static document publishing and desktop editors such as PyCharm and Spyder. 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. In this tutorial, we will show how you ... Read More

Sankey diagram is used to visualize a flow by defining a "source" to represent the source node and a "target" for the target node. It is used to represent the flow of objects between different data points. In this tutorial, let's understand how to define the structure of Sankey diagram using a dataframe. Here we will use the plotly.graph_objects module to generate the figures. It contains a lot of methods to generate charts. Step 1 Import the plotly.graphs_objs module and alias as go. import plotly.graphs_objs as go Step 2 Import the Pandas module and alias as pd. import pandas ... Read More

Plotly is an open-source Python library for creating charts. You can use its features to customize the fonts in various formats. In this tutorial, we will show how you can set the font style to Bold in Python Plotly. Here, we will use the plotly.graph_objects module to generate figures. It contains a lot of methods to customize the charts and render them into HTML format. Then we will use the update_layout() method to set the title as bold format with tag. Follow the steps given below to set the font style to bold in Plotly. Step 1 ... Read More

Plotly is an open-source Python library that is used for data visualization. It supports various types of charts. In this tutorial, we will show how you can show multiple plots on a single chart. Here we will use plotly.graph_objects to generate figures. It contains a lot of methods to customize the charts and render them into HTML format. We will use the method make_subplots to add subplots. Follow the steps given to create subplots with Python Plotly. Step 1 Import the plotly.graphs_objs module and alias as go. import plotly.graphs_objs as go Step 2 Import make_subplots to create ... Read More