# Copyright Google Inc. 2017 # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import pandas as pd from bokeh.models import ColumnDataSource, HoverTool, DataRange1d, Paragraph from bokeh.layouts import column from bokeh.palettes import Blues4 from bokeh.plotting import figure from modules.base import BaseModule from states import NAMES_TO_CODES from utils import run_query QUERY = """ SELECT year, mo as month, da as day, MAX(max) as max_temp, MIN(min) as min_temp, AVG(temp) as avg_temp, state FROM [bigquery-public-data:noaa_gsod.gsod%(year)s] a JOIN [bigquery-public-data:noaa_gsod.stations] b ON a.stn=b.usaf AND a.wban=b.wban WHERE state IS NOT NULL AND max < 1000 AND country = 'US' AND state = '%(state)s' GROUP BY year, month, day, state ORDER BY year, month, day, state """ YEAR = 2016 TITLE = "Temperatures (F) in %s:" % YEAR class Module(BaseModule): def __init__(self): super().__init__() self.source = None self.plot = None self.title = None def fetch_data(self, state): query = QUERY % {'state': NAMES_TO_CODES[state], 'year': YEAR} dataframe = run_query(query, cache_key='temperature-%s' % NAMES_TO_CODES[state]) dataframe['date'] = pd.to_datetime(dataframe[['year', 'month', 'day']]) dataframe['date_readable'] = dataframe['date'].apply(lambda x: x.strftime("%Y-%m-%d")) dataframe['left'] = dataframe.date - pd.DateOffset(days=0.5) dataframe['right'] = dataframe.date + pd.DateOffset(days=0.5) dataframe = dataframe.set_index(['date']) dataframe.sort_index(inplace=True) return dataframe def make_plot(self, dataframe): self.source = ColumnDataSource(data=dataframe) self.plot = figure( x_axis_type="datetime", plot_width=600, plot_height=300, tools='', toolbar_location=None) self.plot.quad( top='max_temp', bottom='min_temp', left='left', right='right', color=Blues4[2], source=self.source, legend='Magnitude') line = self.plot.line( x='date', y='avg_temp', line_width=3, color=Blues4[1], source=self.source, legend='Average') hover_tool = HoverTool(tooltips=[ ('Value', '$y'), ('Date', '@date_readable'), ], renderers=[line]) self.plot.tools.append(hover_tool) self.plot.xaxis.axis_label = None self.plot.yaxis.axis_label = None self.plot.axis.axis_label_text_font_style = 'bold' self.plot.x_range = DataRange1d(range_padding=0.0) self.plot.grid.grid_line_alpha = 0.3 self.title = Paragraph(text=TITLE) return column(self.title, self.plot) def update_plot(self, dataframe): self.source.data.update(dataframe) def busy(self): self.title.text = 'Updating...' self.plot.background_fill_color = "#efefef" def unbusy(self): self.title.text = TITLE self.plot.background_fill_color = "white"