How to Add Search Box In Matplotlib?

To add a search box in matplotlib, you can use the mpldatacursor library which allows you to create a search box that highlights data points when searching for specific values. This can be done by installing the library (pip install mpldatacursor) and then importing it in your Python script. You can then use the datacursor function from the library to enable the search box feature on your matplotlib plot. This will allow users to search for specific values in the plot by typing in the search box and highlighting the corresponding data points.

How to customize a search box in matplotlib?

To customize a search box in Matplotlib, you can use the Annotation widget in Matplotlib. Here's an example of how you can create a search box with a customized appearance:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13

import matplotlib.pyplot as plt

fig, ax = plt.subplots()

# Define the text to display in the search box
text = "Search"

# Add the search box annotation with a custom appearance
bbox_props = dict(boxstyle="round,pad=0.3", fc="white", ec="black", lw=1)
ax.annotate(text, xy=(0.5, 0.5), xytext=(0.5, 0.5), xycoords='axes fraction', textcoords='axes fraction',
            bbox=bbox_props, ha='center', va='center')

plt.show()

In this example, we create a search box annotation with rounded corners, white background color, black border color, and a padding of 0.3. You can customize the appearance of the search box by changing the values in the bbox_props dictionary. Feel free to experiment with different box styles, colors, and padding values to achieve your desired appearance for the search box.

How to add a search box to a plot in matplotlib?

To add a search box to a plot in Matplotlib, you can use the mplcursors library which allows you to add interactivity to your plots. Here is an example of how to add a search box to a plot using mplcursors:

1. First, install the mplcursors library if you haven't already:

1

pip install mplcursors

1. Here is an example code snippet that plots a simple scatter plot and adds a search box to it:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15

import matplotlib.pyplot as plt
import mplcursors

# Create some data
x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]

# Create a scatter plot
plt.scatter(x, y)

# Add a search box to the plot
cursor = mplcursors.cursor(hover=True)
cursor.connect("add", lambda sel: sel.annotation.set_text(f'x: {sel.target[0]} y: {sel.target[1]}'))

plt.show()

When you run this code, you will see a scatter plot with data points labeled with their respective x and y values when you hover over them with your mouse.

You can customize the appearance of the search box by changing the lambda function inside the cursor.connect method. This function will be called every time a data point is selected, and you can use it to customize the text displayed in the search box.

How to make a search box interactive in matplotlib?

In order to make a search box interactive in matplotlib, you can use the TextBox widget that is provided by matplotlib.widgets. Here is an example code snippet that demonstrates how to create a search box and make it interactive:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14

import matplotlib.pyplot as plt
from matplotlib.widgets import TextBox

fig, ax = plt.subplots()
ax.set_xlim(0, 10)
ax.set_ylim(0, 10)

def on_submit(text):
    print(f'Search query: {text}')

textbox = TextBox(ax, 'Search')
textbox.on_submit(on_submit)

plt.show()

In this code snippet, we first create a figure and axis using plt.subplots(). We then set the limits of the x-axis and y-axis for the plot. Next, we define a callback function on_submit that will be called when the user submits their search query. Inside this function, you can perform any actions you want with the search query.

We then create a TextBox widget with the prompt text 'Search' and specify the axis where the widget should be displayed. We also specify the callback function on_submit that should be called when the user hits enter after entering their search query.

Finally, we display the plot using plt.show().

When you run this code snippet, you should see a search box displayed on the plot. Users can enter their search query in the box and hit enter to trigger the on_submit function, which will print out the search query in this case. You can modify the on_submit function to perform any other desired actions with the search query.

How to add autocomplete functionality to a search box in matplotlib?

One way to add autocomplete functionality to a search box in matplotlib is to use the autocomplete library. Here is an example on how to do this:

1. Install the autocomplete library by running pip install autocomplete.
2. Import the necessary libraries:

1
2

import matplotlib.pyplot as plt
from autocomplete import Autocomplete

1. Create a list of items that you want to provide autocomplete suggestions for:

1

items = ['apple', 'banana', 'cherry', 'mango', 'orange', 'pear', 'pineapple']

1. Initialize the Autocomplete object with the list of items:

1

autocomplete = Autocomplete(items)

1. Create a search box using matplotlib.widgets.TextBox:

1
2

axsearch = plt.axes([0.1, 0.1, 0.8, 0.05])
search_box = TextBox(axsearch, 'Search:', initial='')

1. Define a function to handle the autocomplete functionality:

1
2
3
4

def on_text_change(text):
    suggestions = autocomplete.search(text)
    search_box.set_val(suggestions[0] if suggestions else '')
    fig.canvas.draw()

1. Connect the on_text_change function with the search box:

1

search_box.on_text_change(on_text_change)

1. Show the plot with the search box:

1

plt.show()

Now, when you start typing in the search box, it will provide autocomplete suggestions based on the items in the list.