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Articles by Vani Nalliappan
Page 3 of 13
How to show a Plotly animated slider in Python?
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 MoreHow to save multiple plots into a single HTML file in Python Plotly?
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 MoreHow to highlight all the values from a group on hover in Python Plotly?
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 MoreHow to change the size of a Dash Graph in Python Plotly?
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 MoreHow to set the line color in Python Plotly?
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 MoreHow to plot multiple figures as subplots in Python Plotly?
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 MoreHow to open a URL by clicking a data point in Python Plotly?
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 MoreWrite a program in Python to verify camel case string from the user, split camel cases, and store them in a new series
The result for splitting camel case strings into series as, enter the sring: pandasSeriesDataFrame Series is: 0 pandas 1 Series 2 Data 3 Frame dtype: objectTo solve this, we will follow the steps given below −SolutionDefine a function that accepts the input stringSet result variable with the condition as input is not lowercase and uppercase and no ’_’ in input string. It is defined below, result = (s != s.lower() and s != s.upper() and "_" not in s)Set if condition to check if the result is true the apply re.findall method to find camel case ...
Read MoreWrite a Python code to combine two given series and convert it to a dataframe
Assume, you have two series and the result for combining two series into dataframe as, Id Age 0 1 12 1 2 13 2 3 12 3 4 14 4 5 15To solve this, we can have three different approaches.Solution 1Define two series as series1 and series2Assign first series into dataframe. Store it as dfdf = pd.DataFrame(series1)Create a column df[‘Age’] in dataframe and assign second series inside to df.df['Age'] = pd.DataFrame(series2)ExampleLet’s check the following code to get a better understanding −import pandas as pd series1 = pd.Series([1, 2, 3, 4, 5], name='Id') series2 = pd.Series([12, 13, 12, 14, 15], name='Age') ...
Read MoreWrite a program in Python to split the date column into day, month, year in multiple columns of a given dataframe
Assume, you have a dataframe and the result for a date, month, year column is, date day month year 0 17/05/2002 17 05 2002 1 16/02/1990 16 02 1990 2 25/09/1980 25 09 1980 3 11/05/2000 11 05 2000 4 17/09/1986 17 09 1986To solve this, we will follow the steps given below −SolutionCreate a list of dates and assign into dataframe.Apply str.split function inside ‘/’ delimiter to df[‘date’] column. Assign the result to df[[“day”, “month”, “year”]].ExampleLet’s check the following code to get a better understanding −import ...
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