Found 35 Articles for Plotly

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

Plotly supports different types of charts. In this tutorial, we will show how you can use Plotly to show an animated slider. We will use plotly.express used to generate figures. It contains a lot of methods to customize chart. To create a slide and set the frame, we will use the px.scatter() method and its attributes animation_frame and animation_group. Follow the steps given below to show the animated slider. Step 1 Import plotly.express module and alias as px. import plotly.express as px Step 2 Import the Pandas module and alias as pd. import pandas as pd ... 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