Nsryjdtyk

I'm pretty new to Python and this is my first time using Bokeh. I've followed a tutorial using NFL data to show graphs and I cannot get the graph to show on my machine. The script runs without error, but nothing shows. I'm sure I'm missing something very simple... but I just don't know what that is... Can someone please help me? Below is my code:

import pandas as pd

from bokeh.plotting import figure, show

from bokeh.models import ColumnDataSource, FactorRange, FixedTicker

from bokeh.io import output_notebook

from collections import Counter

from bokeh.transform import factor_cmap

from bokeh.palettes import Paired, Spectral

import itertools

pd.set_option('display.max_columns', 150)

output_notebook()



filename = '/Users/ksilva/Downloads/NFL Play by Play 2009-2017 (v4).csv'

df = pd.read_csv(filename,dtype={25: object, 51: object})



# print(df.shape)



# df['down'].isnull().sum()

pd.to_numeric(df['down'], errors='coerce').isnull().sum()



# print(df.loc[51])



# filter by team if desired

team = 'all'

if team == 'all':

    team_df = df

else:

    team_df = df.loc[df['posteam'] == team]



# drop rows will null in the 'down' column

team_df = team_df.loc[df['down'].notnull()]



all_play_types = Counter(team_df['PlayType'])



# print(team_df)

# print(all_play_types)



# list of downs I care about

downs = ['1','2','3','4']



# list of plays I care about

plays = ['Pass', 'Run', 'Punt', 'Field Goal']



# define x-axis categories to be used in the vbar plot

x = list(itertools.product(downs, plays))

# x = [('1', 'Pass'), ('1', 'Run'), ('1', 'Punt'), ..., ('4', 'Punt'), ('4', 'Field Goal')]



# create a list of Counters for each down--will include ALL PlayTypes for each down

plays_on_down = [Counter(team_df.loc[team_df['down'] == int(down)]['PlayType']) for down in downs]



# create a list of counts for each play in plays for each down in downs

counts = [plays_on_down[int(down)-1][play] for down, play in x]



# load the into the ColumnDataSource

source = ColumnDataSource(data=dict(x=x, counts=counts))



# get the figure ready

p = figure(x_range=FactorRange(*x), plot_height=350, plot_width=750, title='Play by Down',

       toolbar_location=None, tools='')



# create the vbar

p.vbar(x='x', top='counts', width=0.9, source=source, line_color='white',

       fill_color=factor_cmap('x', palette=Spectral[4], factors=plays, start=1, end=2))

p.y_range.start = 0

p.x_range.range_padding = 0.1

p.xaxis.major_label_orientation = 1

p.xaxis.axis_label = 'Down'

p.yaxis.axis_label = 'Number of Plays'

p.xgrid.grid_line_color = None

show(p)

For whatever reason, nothing happens when executed from the terminal.

Any help is greatly appreciated!

Thanks.

You are setting calling output_notebook. This activates a mode that only diplays in a Jupyter notebook. If you want to execute plain python scripts to generate HTML file output, you should use output_file.