-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathdata_scientist_languages.py
More file actions
231 lines (195 loc) · 5.96 KB
/
data_scientist_languages.py
File metadata and controls
231 lines (195 loc) · 5.96 KB
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
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
#<<<<<<< HEAD
import csv;
import pandas as pd;
import numpy as np;
import math as m;
import matplotlib.pyplot as plt; plt.rcdefaults()
import numpy as np
import matplotlib.pyplot as plt
def add_language(languages,language):
if language in languages:
languages[language]+=1;
else:
languages[language]=1;
def add_database(databases,database):
if database in databases:
databases[database]+=1;
else:
databases[database]=1;
def add_platform(platforms,platform):
if platform in platforms:
platforms[platform]+=1
else:
platforms[platform]=1;
def add_framework(frameworks,framework):
if framework in frameworks:
frameworks[framework]+=1;
else:
frameworks[framework]=1;
df=pd.read_csv("survey_results_public.csv");
df=df[["DevType","LanguageWorkedWith","DatabaseWorkedWith","PlatformWorkedWith","FrameworkWorkedWith"]]; #limits down to langauges and stuff
df=df[ df.DevType==df.DevType]; #gets rid of all data with non existent values
languages={};
databases={};
platforms={};
frameworks={};
df=df.values;
df=[row for row in df if "Data scientist" in row[0]];
for row in df:
lang_work=row[1];
base_work=row[2];
plat_work=row[3];
frame_work=row[4];
if type(lang_work)==str:
lang_work=lang_work.split(";");
else:
lang_work="0"
if type(base_work)==str:
base_work=base_work.split(";");
else:
base_work="0"
if type(plat_work)==str:
plat_work=plat_work.split(";");
else:
plat_work="0"
if type(frame_work)==str:
frame_work=frame_work.split(";");
else:
frame_work="0"
for lang in lang_work:
add_language(languages,lang);
for base in base_work:
add_database(databases,base);
for plat in plat_work:
add_platform(platforms,plat);
for frame in frame_work:
add_framework(frameworks,frame);
language_map={};
database_map={};
platform_map={};
framework_map={};
print("Language:\n");
for language in languages:
print(language,round(100*languages[language]/len(df),2));
language_map[language]=round(100*languages[language]/len(df),2);
print("\nDatabases:\n");
for database in databases:
print(database,round(100*databases[database]/len(df),2));
database_map[database]=round(100*databases[database]/len(df),2);
print("\nPlatforms:\n")
for platform in platforms:
print(platform,round(100*platforms[platform]/len(df),2));
platform_map[platform]=round(100*platforms[platform]/len(df),2);
print("\nFrameworks\n");
for framework in frameworks:
print(framework, round(100*frameworks[framework]/len(df),2));
framework_map[framework]=round(100*frameworks[framework]/len(df),2);
plt.figure();
#ax=plt.subplot(1,1,1);
x=list(language_map.keys());
y=list(language_map.values());
plt.bar(list(range(1,len(x)+1)),y,width=0.2,align="center",tick_label=tuple(x));
plt.xticks(rotation=90)
plt.ylabel("Percentage of Data Scientists");
plt.title("Languages of Data Scientists");
plt.figure();
#ax=plt.subplot(1,1,1);
x=list(database_map.keys());
y=list(database_map.values());
plt.bar(list(range(1,len(x)+1)),y,width=0.2,align="center",tick_label=tuple(x));
plt.xticks(rotation=90)
plt.ylabel("Percentage of Data Scientists");
plt.title("Databases of Data Scientists");
plt.figure();
#ax=plt.subplot(1,1,1);
x=list(platform_map.keys());
y=list(platform_map.values());
plt.bar(list(range(1,len(x)+1)),y,width=0.2,align="center",tick_label=tuple(x));
plt.xticks(rotation=90)
plt.ylabel("Percentage of Data Scientists");
plt.title("Platforms of Data Scientists");
plt.figure();
#ax=plt.subplot(1,1,1);
x=list(framework_map.keys());
y=list(framework_map.values());
plt.bar(list(range(1,len(x)+1)),y,width=0.2,align="center",tick_label=tuple(x));
plt.xticks(rotation=90)
plt.ylabel("Percentage of Data Scientists");
plt.title("Frameworks of Data Scientists");
plt.show();
# =======
# import csv;
# import pandas as pd;
# import numpy as np;
# import math as m;
# def add_language(languages,language):
# if language in languages:
# languages[language]+=1;
# else:
# languages[language]=1;
# def add_database(databases,database):
# if database in databases:
# databases[database]+=1;
# else:
# databases[database]=1;
# def add_platform(platforms,platform):
# if platform in platforms:
# platforms[platform]+=1
# else:
# platforms[platform]=1;
# def add_framework(frameworks,framework):
# if framework in frameworks:
# frameworks[framework]+=1;
# else:
# frameworks[framework]=1;
# df=pd.read_csv("survey_results_public.csv");
# df=df[["DevType","LanguageWorkedWith","DatabaseWorkedWith","PlatformWorkedWith","FrameworkWorkedWith"]]; #limits down to langauges and stuff
# df=df[ df.DevType==df.DevType]; #gets rid of all data with non existent values
# languages={};
# databases={};
# platforms={};
# frameworks={};
# df=df.values;
# df=[row for row in df if "Data scientist" in row[0]];
# for row in df:
# lang_work=row[1];
# base_work=row[2];
# plat_work=row[3];
# frame_work=row[4];
# if type(lang_work)==str:
# lang_work=lang_work.split(";");
# else:
# lang_work="0"
# if type(base_work)==str:
# base_work=base_work.split(";");
# else:
# base_work="0"
# if type(plat_work)==str:
# plat_work=plat_work.split(";");
# else:
# plat_work="0"
# if type(frame_work)==str:
# frame_work=frame_work.split(";");
# else:
# frame_work="0"
# for lang in lang_work:
# add_language(languages,lang);
# for base in base_work:
# add_database(databases,base);
# for plat in plat_work:
# add_platform(platforms,plat);
# for frame in frame_work:
# add_framework(frameworks,frame);
# print("Language:\n");
# for language in languages:
# print(language,round(100*languages[language]/len(df),2));
# print("\nDatabases:\n");
# for database in databases:
# print(database,round(100*databases[database]/len(df),2));
# print("\nPlatforms:\n")
# for platform in platforms:
# print(platform,round(100*platforms[platform]/len(df),2));
# print("\nFrameworks\n");
# for framework in frameworks:
# print(framework, round(100*frameworks[framework]/len(df),2));
# >>>>>>> 5eac722042f98a35dc721bdfe513a6deeafad609