Issue
I have a pandas
dataframe that looks like this:
import pandas as pd
foo = pd.DataFrame({'temp': ['message1', 'message2', 'message3'], 'var2': [1,2,3], 'col3':[4,5,6]})
I also have the following dictionary
foo_dict = {'message1' : 'i am message 1', 'message2': 'i am foo', 'message3': 'i am lala', 'var2' : ' another random message', 'col3': 'more random messages'}
I would like to style this pandas dataframe, so that whenever I hover over an element of the dataframe, if this element (can be either a cell, or a column) exists in the foo_dict.keys()
, i would like the respective foo_dict.value()
to be annotated
Is it possible in pandas ?
Solution
As part of the the Styler Enhancements in pandas 1.3.0 there is now a set_tooltips
function which can be used to set tool tips for the cells in the DataFrame.
Note, this is currently limited to "string based tooltips [that] are only applicable to <td>
HTML elements, and cannot be used for column or index headers."
import pandas as pd
foo = pd.DataFrame({
'temp': ['message1', 'message2', 'message3'],
'var2': [1, 2, 3],
'col3': [4, 5, 6]
})
# Setup a DataFrame with corresponding hover values
tooltips_df = pd.DataFrame({
'temp': ['i am message 1', 'i am foo', 'i am lala'],
'var2': ' another random message',
'col3': 'more random messages'
})
# Assign tooltips
foo.style.set_tooltips(tooltips_df)
Answered By - Henry Ecker
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