forked from urbhagat/NightFour
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Sneed Practice Data for Bokeh
168 lines (105 loc) · 2.7 KB
/
Sneed Practice Data for Bokeh
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
Cell Toolbar:
In [1]:
# Import section
import os
import numpy as np
import pandas as pd
import bokeh
# Read in the health data
chris = pd.read_csv ('C:\Users\W540\Jupyter\state.csv')
grouped = chris.groupby(['State'])
value1 = chris['Value'].astype(float)
chris.loc[:,'value1'] = value1
value2 = chris['value1'].astype('int')
chris.loc[:,'value2'] = value2
In [2]:
chris
Out[2]:
State Value value1 value2
0 ks 10 10 10
1 ks 20 20 20
2 ks 30 30 30
3 tn 10 10 10
4 tn 15 15 15
5 tn 25 25 25
In [3]:
chris.to_csv('C:\Users\W540\Jupyter\state.csv')
In [4]:
frank = pd.read_csv('C:\Users\W540\Jupyter\state.csv')
In [5]:
frank
Out[5]:
Unnamed: 0 State Value value1 value2
0 0 ks 10 10 10
1 1 ks 20 20 20
2 2 ks 30 30 30
3 3 tn 10 10 10
4 4 tn 15 15 15
5 5 tn 25 25 25
In [6]:
chris = pd.read_csv ('C:\Users\W540\Jupyter\state.csv')
In [7]:
chris
Out[7]:
Unnamed: 0 State Value value1 value2
0 0 ks 10 10 10
1 1 ks 20 20 20
2 2 ks 30 30 30
3 3 tn 10 10 10
4 4 tn 15 15 15
5 5 tn 25 25 25
In [8]:
from collections import OrderedDict
from bokeh.sampledata import us_states
from bokeh.plotting import figure, show, output_file, output_notebook, ColumnDataSource
from bokeh.models import HoverTool
us_states = us_states.data.copy()
del us_states["HI"]
del us_states["AK"]
state_xs = [us_states[code]["lons"] for code in us_states]
state_ys = [us_states[code]["lats"] for code in us_states]
colors = ["#F1EEF6", "#D4B9DA", "#C994C7", "#DF65B0", "#DD1C77", "#980043"]
In [9]:
state_colors = []
for value2 in chris:
if us_states in ["ak", "hi", "pr", "gu", "vi", "mp", "as"]:
continue
try:
rate = chris[value2]
idx = min(int(rate/2), 5)
state_colors.append(colors[idx])
except KeyError:
state_colors.append("black")
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-9-688cb2053dca> in <module>()
5 try:
6 rate = chris[value2]
----> 7 idx = min(int(rate/2), 5)
8 state_colors.append(colors[idx])
9 except KeyError:
C:\Users\W540\Anaconda\lib\site-packages\pandas\core\series.pyc in wrapper(self)
75 return converter(self.iloc[0])
76 raise TypeError(
---> 77 "cannot convert the series to {0}".format(str(converter)))
78 return wrapper
79
TypeError: cannot convert the series to <type 'int'>
In [10]:
chris[value2]
Out[10]:
0 0
1 1
2 2
3 3
4 4
5 5
Name: Unnamed: 0, dtype: int64
In [ ]: