-
Notifications
You must be signed in to change notification settings - Fork 342
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
1 parent
5e24f8e
commit 7923436
Showing
8 changed files
with
258 additions
and
158 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,4 +1,4 @@ | ||
*.db | ||
*.py[cod] | ||
.web | ||
__pycache__/ | ||
__pycache__/ |
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Empty file.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,171 +1,62 @@ | ||
"""Welcome to Reflex! This file outlines the steps to create a basic app.""" | ||
|
||
from .views.navbar import navbar | ||
from .views.table import table | ||
from .views.stats import stats | ||
import reflex as rx | ||
import pandas as pd | ||
import plotly.express as px | ||
import plotly.graph_objects as go | ||
from .helpers import navbar | ||
from reflex.components.radix.themes import theme | ||
|
||
nba_overview = "https://media.geeksforgeeks.org/wp-content/uploads/nba.csv" | ||
nba_data = pd.read_csv(nba_overview) | ||
college = ["All"] + sorted(nba_data["College"].unique().astype(str)) | ||
|
||
|
||
class State(rx.State): | ||
"""The app state.""" | ||
|
||
# Filters to apply to the data. | ||
position: str = "All" | ||
college: str = "All" | ||
age: tuple[int, int] = (18, 50) | ||
salary: tuple[int, int] = (0, 25000000) | ||
|
||
@rx.var | ||
def df(self) -> pd.DataFrame: | ||
"""The data.""" | ||
nba = nba_data[ | ||
(nba_data["Age"] > int(self.age[0])) | ||
& (nba_data["Age"] < int(self.age[1])) | ||
& (nba_data["Salary"] > int(self.salary[0])) | ||
& (nba_data["Salary"] < int(self.salary[1])) | ||
] | ||
|
||
if self.college and self.college != "All": | ||
nba = nba[nba["College"] == self.college] | ||
|
||
if self.position and self.position != "All": | ||
nba = nba[nba["Position"] == self.position] | ||
|
||
if nba.empty: | ||
return pd.DataFrame() | ||
else: | ||
return nba.fillna("") | ||
|
||
@rx.var | ||
def scat_fig(self) -> go.Figure: | ||
"""The scatter figure.""" | ||
nba = self.df | ||
|
||
if nba.empty: | ||
return go.Figure() | ||
else: | ||
return px.scatter( | ||
nba, | ||
x="Age", | ||
y="Salary", | ||
title="NBA Age/Salary plot", | ||
color=nba["Position"], | ||
hover_data=["Name"], | ||
symbol=nba["Position"], | ||
trendline="lowess", | ||
trendline_scope="overall", | ||
) | ||
|
||
@rx.var | ||
def hist_fig(self) -> go.Figure: | ||
"""The histogram figure.""" | ||
nba = self.df | ||
|
||
if nba.empty: | ||
return go.Figure() | ||
else: | ||
return px.histogram( | ||
nba, x="Age", y="Salary", title="Age/Salary Distribution" | ||
) | ||
|
||
|
||
def selection(): | ||
def index() -> rx.Component: | ||
return rx.vstack( | ||
rx.hstack( | ||
rx.vstack( | ||
rx.select( | ||
["All", "C", "PF", "SF", "PG", "SG"], | ||
placeholder="Select a position.", | ||
default="All", | ||
on_change=State.set_position, | ||
width="15em", | ||
size="3", | ||
), | ||
rx.select( | ||
college, | ||
placeholder="Select a college.", | ||
default="All", | ||
on_change=State.set_college, | ||
width="15em", | ||
size="3", | ||
), | ||
), | ||
rx.vstack( | ||
rx.vstack( | ||
rx.hstack( | ||
rx.badge("Min Age: ", State.age[0]), | ||
rx.divider(orientation="vertical"), | ||
rx.badge("Max Age: ", State.age[1]), | ||
), | ||
rx.slider( | ||
default_value=[18, 50], | ||
min=18, | ||
max=50, | ||
on_value_commit=State.set_age, | ||
), | ||
align_items="left", | ||
width="100%", | ||
), | ||
rx.vstack( | ||
rx.hstack( | ||
rx.badge("Min Sal: ", State.salary[0] // 1000000, "M"), | ||
rx.divider(orientation="vertical"), | ||
rx.badge("Max Sal: ", State.salary[1] // 1000000, "M"), | ||
), | ||
rx.slider( | ||
default_value=[0, 25000000], | ||
min=0, | ||
max=25000000, | ||
on_value_commit=State.set_salary, | ||
), | ||
align_items="left", | ||
width="100%", | ||
), | ||
navbar(), | ||
rx.flex( | ||
rx.box( | ||
table(), | ||
width=["100%", "100%", "100%", "50%"] | ||
), | ||
spacing="4", | ||
stats(), | ||
spacing="9", | ||
width="100%", | ||
flex_direction=["column", "column", "column", "row"], | ||
), | ||
align="center", | ||
width="100%", | ||
spacing="6", | ||
padding_x=["1.5em", "1.5em", "3em"], | ||
padding_y=["1em", "1em", "2em"] | ||
) | ||
|
||
|
||
def index(): | ||
"""The main view.""" | ||
return rx.center( | ||
rx.vstack( | ||
navbar(), | ||
selection(), | ||
rx.divider(width="100%"), | ||
rx.plotly(data=State.scat_fig, layout={"width": "1000", "height": "600"}), | ||
rx.plotly(data=State.hist_fig, layout={"width": "1000", "height": "600"}), | ||
rx.data_table( | ||
data=nba_data, | ||
pagination=True, | ||
search=True, | ||
sort=True, | ||
resizable=True, | ||
), | ||
rx.divider(width="100%"), | ||
align="center", | ||
padding_top="6em", | ||
width="100%", | ||
) | ||
) | ||
|
||
|
||
# base_stylesheets = [ | ||
# "https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700;800&display=swap" | ||
# ] | ||
|
||
# font_default = "Inter" | ||
|
||
# base_style = { | ||
# "font_family": font_default, | ||
# rx.text: { | ||
# "font_family": font_default, | ||
# }, | ||
# rx.heading: { | ||
# "font_family": font_default, | ||
# }, | ||
# rx.link: { | ||
# "font_family": font_default, | ||
# }, | ||
# rx.input: { | ||
# "font_family": font_default, | ||
# }, | ||
# rx.button: { | ||
# "font_family": font_default, | ||
# }, | ||
# } | ||
app = rx.App( | ||
theme=theme( | ||
appearance="light", | ||
has_background=True, | ||
radius="large", | ||
accent_color="blue", | ||
gray_color="sand", | ||
) | ||
#style=base_style, stylesheets=base_stylesheets, | ||
theme=rx.theme( | ||
appearance="light", has_background=True, radius="large", accent_color="orange" | ||
), | ||
) | ||
app.add_page(index, title="NBA App") | ||
app.add_page(index, | ||
title="Sales App", | ||
description="Generate personalized sales emails.", | ||
) |
Empty file.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,30 @@ | ||
import reflex as rx | ||
|
||
|
||
def navbar(): | ||
return rx.flex( | ||
rx.hstack( | ||
rx.image(src="/ball.svg",height="40px"), | ||
rx.heading("NBA Data", size="7"), | ||
rx.badge( | ||
"2015-2016 season", | ||
radius="full", | ||
align="center", | ||
color_scheme="orange", | ||
variant="surface", | ||
), | ||
align="center", | ||
), | ||
rx.spacer(), | ||
rx.hstack( | ||
rx.logo(), | ||
rx.color_mode.button(), | ||
align="center", | ||
spacing="3", | ||
), | ||
spacing="2", | ||
flex_direction=["column", "column", "row"], | ||
align="center", | ||
width="100%", | ||
top="0px", | ||
) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,97 @@ | ||
import reflex as rx | ||
from .table import State | ||
from .table import college | ||
|
||
|
||
def selection(): | ||
return rx.flex( | ||
rx.vstack( | ||
rx.hstack( | ||
rx.icon("person-standing", size=24), | ||
rx.select( | ||
["All", "C", "PF", "SF", "PG", "SG"], | ||
placeholder="Select a position.", | ||
default="All", | ||
on_change=State.set_position, | ||
size="3", | ||
variant="soft" | ||
), | ||
justify="end", | ||
spacing="2", | ||
align="center", | ||
width="100%", | ||
), | ||
rx.vstack( | ||
rx.slider( | ||
default_value=[18, 50], | ||
min=18, | ||
variant="soft", | ||
max=50, | ||
on_value_commit=State.set_age, | ||
), | ||
rx.hstack( | ||
rx.badge("Min Age: ", State.age[0]), | ||
rx.spacer(), | ||
rx.badge("Max Age: ", State.age[1]), | ||
width="100%", | ||
), | ||
width="100%", | ||
), | ||
width="100%", | ||
spacing="4", | ||
), | ||
rx.spacer(), | ||
rx.vstack( | ||
rx.hstack( | ||
rx.icon("university", size=24), | ||
rx.select( | ||
college, | ||
placeholder="Select a college.", | ||
default="All", | ||
variant="soft", | ||
on_change=State.set_college, | ||
size="3", | ||
), | ||
justify="end", | ||
spacing="2", | ||
align="center", | ||
width="100%", | ||
), | ||
rx.vstack( | ||
rx.slider( | ||
default_value=[0, 25000000], | ||
min=0, | ||
max=25000000, | ||
variant="soft", | ||
on_value_commit=State.set_salary, | ||
), | ||
rx.hstack( | ||
rx.badge("Min Sal: ", State.salary[0] // 1000000, "M"), | ||
rx.spacer(), | ||
rx.badge("Max Sal: ", State.salary[1] // 1000000, "M"), | ||
width="100%", | ||
), | ||
width="100%", | ||
spacing="4", | ||
), | ||
width="100%", | ||
spacing="4", | ||
), | ||
flex_direction=["column", "column", "row"], | ||
spacing="4", | ||
width="100%", | ||
) | ||
|
||
|
||
def stats(): | ||
return rx.vstack( | ||
selection(), | ||
rx.divider(), | ||
rx.box( | ||
rx.plotly(data=State.scat_fig, width="100%", use_resize_handler=True), | ||
rx.plotly(data=State.hist_fig, width="100%", use_resize_handler=True), | ||
width="100%", | ||
), | ||
width=["100%", "100%", "100%", "50%"], | ||
spacing="4", | ||
) |
Oops, something went wrong.