Using Dataframe Cell Values To Style Another Dataframe With Same Dimensions
import pandas as pd import numpy as np df = pd.DataFrame({'A': 'foo bar foo'.split(), 'B': 'one one two'.split(), 'C': np.arange(3), 'D': np.arange(3)
Solution 1:
You can change format of values for strings and then return DataFrame with same columns names (index values is necessary same too):
df2 = df2.applymap(lambda x: 'background-color: {}'.format(x.get('bgcolor')))
print (df2)
E F \
0 background-color: #55aa2a background-color: #55aa2a 1 background-color: #d42a2a background-color: #d42a2a 2 background-color: #d42a2a background-color: #d42a2a
G H
0 background-color: #55aa2a background-color: #55aa2a 1 background-color: #d42a2a background-color: #d42a2a 2 background-color: #d42a2a background-color: #d42a2a defhighlight(x):
d = dict(zip(df2.columns, x.columns))
return df2.rename(columns=d)
Or:
defhighlight(x):
return pd.DataFrame(df2.values, columns=x.columns)
df.style.apply(highlight, axis=None)
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