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Conditional coloring for dataframe outputs #1472
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Good news! You can do this manually as of #1475 . That PR will be released in the v1.0.0 release shortly. Type information for each StyleInfoBody = TypedDict(
"StyleInfoBody",
{
"location": Required[Literal["body"]],
"rows": NotRequired[Union[int, ListOrTuple[int], ListOrTuple[bool], None]],
"cols": NotRequired[
Union[str, int, ListOrTuple[str], ListOrTuple[int], ListOrTuple[bool], None]
],
"style": NotRequired[Union[Dict[str, Jsonifiable], None]],
"class": NotRequired[Union[str, None]],
},
)
StyleInfo = StyleInfoBody Example import pandas as pd
from shiny.express import render
df_styles = [
{
"location": "body",
"rows": [2, 4],
"cols": [2, 4],
"style": {
"background-color": "coral",
},
}
]
n = 6
df = pd.DataFrame(
{
"a": range(n),
"b": range(n, n * 2),
"c": range(n * 2, n * 3),
"d": range(n * 3, n * 4),
"e": range(n * 4, n * 5),
}
)
@render.data_frame
def my_df():
return render.DataGrid(
df,
styles=df_styles,
) We are continuing to explore using For now, you'll need to define the style information yourself. 🫤 But at least it can be defined! 🥳 (Leaving issue open as conditional styling has not be implemented. Only cell styling.) |
This is great and a very good solution for the 1.0. Thank you. Can styles manage also columns width? Or will it be addressed in a different way? |
Yes! ... a pleasant surprise! import pandas as pd
from shiny.express import render
df_styles = [
{
"location": "body",
"rows": [2, 4],
"cols": [2, 4],
"style": {
"background-color": "coral",
"width": "300px",
"height": "100px",
},
}
]
n = 6
df = pd.DataFrame(
{
"a": range(n),
"b": range(n, n * 2),
"c": range(n * 2, n * 3),
"d": range(n * 3, n * 4),
"e": range(n * 4, n * 5),
}
)
@render.data_frame
def my_df():
return render.DataGrid(
df,
styles=df_styles,
) |
Maybe I miss something, but if we wanted to style 14 and 28 how is it done (ie both rows and both columns but not combinatorial)? Two dictionaries in the styles array? |
If If both Obviously it is nice to have multiple style definitions for different locations, so multiple Updating the example above... import pandas as pd
from shiny.express import render
df_styles = [
{
"location": "body",
"style": {
"background-color": "lightblue",
"border": "transparent",
"color": "transparent",
},
},
{
"location": "body",
"rows": [2],
"cols": [2],
"style": {
"background-color": "yellow",
"width": "100px",
"height": "75px",
},
},
{
"location": "body",
"cols": [1, 3, 5, 7],
"style": {
"background-color": "yellow",
},
},
{
"location": "body",
"rows": [3],
"cols": [7],
"style": {
"background-color": "lightblue",
},
},
]
n = 5
df = pd.DataFrame(
{
"a": range(n),
"b": range(n, n * 2),
"c": range(n * 2, n * 3),
"d": range(n * 3, n * 4),
"e": range(n * 4, n * 5),
"f": range(n * 5, n * 6),
"g": range(n * 6, n * 7),
"h": range(n * 7, n * 8),
"i": range(n * 8, n * 9),
}
)
@render.data_frame
def my_df():
return render.DataGrid(
df,
styles=df_styles,
) |
Thanks. Really looking forward to this! |
Amazing! Thank you. |
Right now, there doesn't seem to be any options for conditionally coloring rows and cells in dataframe outputs (datagrid and datatable). This is especially important for analytical dashboards and data. Requesting a new feature or any recommendations on how to achieve conditional coloring in Python Shiny's current state
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