This hybrid chart fuses the visual appeal of both line and bar graphs. While the line graph depicts the trend or continuous data, the bars offer a clear representation of discrete data points. The dual y-axis design facilitates the comparison of two related but differently scaled sets of data. This configuration is especially helpful when one wants to showcase a correlation or interaction between two distinct yet interconnected data sets.
Copy order : int
x : str
data : Union [ str , DataFrame , List [ Dict ]]
Copy bar_names : Optional [ List [ str ]] = None
line_names : Optional [ List [ str ]] = None
x_axis_name : Optional [ str ] = None
bar_axis_name : Optional [ str ] = None
bar_suffix : Optional [ str ] = None ,
line_axis_name : Optional [ str ] = None
line_suffix : Optional [ str ] = None
title : Optional [ str ] = None
rows_size : Optional [ int ] = None
cols_size : Optional [ int ] = None
padding : Optional [ List [ int ]] = None
option_modifications : Optional [ Dict ] = None
variant : Optional [ str ] = None
Copy data = [
{ 'day' : 'Mon' , 'Evaporation' : 2.0 , 'Precipitation' : 2.6 , 'Temperature' : 2.0 },
{ 'day' : 'Tue' , 'Evaporation' : 4.9 , 'Precipitation' : 5.9 , 'Temperature' : 2.2 },
{ 'day' : 'Wed' , 'Evaporation' : 7.0 , 'Precipitation' : 9.0 , 'Temperature' : 3.3 },
{ 'day' : 'Thu' , 'Evaporation' : 23.2 , 'Precipitation' : 26.4 , 'Temperature' : 4.5 },
{ 'day' : 'Fri' , 'Evaporation' : 25.6 , 'Precipitation' : 28.7 , 'Temperature' : 6.3 },
{ 'day' : 'Sat' , 'Evaporation' : 76.7 , 'Precipitation' : 70.7 , 'Temperature' : 10.2 },
{ 'day' : 'Sun' , 'Evaporation' : 135.6 , 'Precipitation' : 175.6 , 'Temperature' : 20.3 }
]
s . plt . line_and_bar_charts (
data = data, order = 0 , x = 'day' ,
bar_names = [ 'Evaporation' , 'Precipitation' ],
line_names = [ 'Temperature' ],
title = 'rainfall and temperature' ,
x_axis_name = 'Day' ,
line_axis_name = 'Temperature' ,
line_suffix = ' °C' ,
bar_axis_name = 'Evaporation and precipitacion' ,
bar_suffix = ' ml'
) 
