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Commit 2594bd6

Browse files
Moved data logic out of dashboard.
1 parent 03cfb6d commit 2594bd6

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2 files changed

+25
-18
lines changed

2 files changed

+25
-18
lines changed

‎plotlydash_flask_tutorial/plotlydash/dashboard.py‎

Lines changed: 13 additions & 18 deletions
Original file line numberDiff line numberDiff line change
@@ -5,6 +5,7 @@
55
import dash_table
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import dash_html_components as html
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import dash_core_components as dcc
8+
from .data import create_dataframe
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from .layout import html_layout
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1011

@@ -19,13 +20,8 @@ def create_dashboard(server):
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]
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)
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22-
# Prepare a DataFrame
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df = pd.read_csv('data/311-calls.csv', parse_dates=['created'])
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df['created'] = df['created'].dt.date
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df.drop(columns=['incident_zip'], inplace=True)
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num_complaints = df['complaint_type'].value_counts()
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to_remove = num_complaints[num_complaints <= 30].index
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df.replace(to_remove, np.nan, inplace=True)
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# Load DataFrame
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df = create_dataframe()
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# Custom HTML layout
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dash_app.index_string = html_layout
@@ -35,23 +31,21 @@ def create_dashboard(server):
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children=[dcc.Graph(
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id='histogram-graph',
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figure={
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'data': [
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{
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'x': df['complaint_type'],
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'text': df['complaint_type'],
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'customdata': df['key'],
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'name': '311 Calls by region.',
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'type': 'histogram'
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}
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],
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'data': [{
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'x': df['complaint_type'],
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'text': df['complaint_type'],
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'customdata': df['key'],
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'name': '311 Calls by region.',
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'type': 'histogram'
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}],
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'layout': {
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'title': 'NYC 311 Calls category.',
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'height': 500,
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'padding': 150
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}
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}),
53-
create_data_table(df)
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],
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create_data_table(df)
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],
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id='dash-container'
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)
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return dash_app.server
@@ -68,3 +62,4 @@ def create_data_table(df):
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page_size=300
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)
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return table
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Lines changed: 12 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
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import pandas as pd
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3+
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def create_dataframe():
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"""Create Pandas DataFrame from local CSV."""
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df = pd.read_csv('data/311-calls.csv', parse_dates=['created'])
7+
df['created'] = df['created'].dt.date
8+
df.drop(columns=['incident_zip'], inplace=True)
9+
num_complaints = df['complaint_type'].value_counts()
10+
to_remove = num_complaints[num_complaints <= 30].index
11+
df.replace(to_remove, np.nan, inplace=True)
12+
return df

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