File tree Expand file tree Collapse file tree 16 files changed +909
-490
lines changed
02_Filtering_&_Sorting/Fictional Army
03_Grouping/Alcohol_Consumption Expand file tree Collapse file tree 16 files changed +909
-490
lines changed Original file line number Diff line number Diff line change 23
23
{
24
24
"cell_type" : " code" ,
25
25
"execution_count" : 3 ,
26
- "metadata" : {
27
- "collapsed" : false
28
- },
26
+ "metadata" : {},
29
27
"outputs" : [],
30
28
"source" : [
31
29
" import pandas as pd"
71
69
{
72
70
"cell_type" : " code" ,
73
71
"execution_count" : null ,
74
- "metadata" : {
75
- "collapsed" : false
76
- },
72
+ "metadata" : {},
77
73
"outputs" : [],
78
74
"source" : []
79
75
},
87
83
{
88
84
"cell_type" : " code" ,
89
85
"execution_count" : null ,
90
- "metadata" : {
91
- "collapsed" : false
92
- },
86
+ "metadata" : {},
93
87
"outputs" : [],
94
88
"source" : []
95
89
},
103
97
{
104
98
"cell_type" : " code" ,
105
99
"execution_count" : null ,
106
- "metadata" : {
107
- "collapsed" : false
108
- },
100
+ "metadata" : {},
109
101
"outputs" : [],
110
102
"source" : []
111
103
},
119
111
{
120
112
"cell_type" : " code" ,
121
113
"execution_count" : null ,
122
- "metadata" : {
123
- "collapsed" : false
124
- },
114
+ "metadata" : {},
125
115
"outputs" : [],
126
116
"source" : []
127
117
},
135
125
{
136
126
"cell_type" : " code" ,
137
127
"execution_count" : null ,
138
- "metadata" : {
139
- "collapsed" : false
140
- },
128
+ "metadata" : {},
141
129
"outputs" : [],
142
130
"source" : []
143
131
},
151
139
{
152
140
"cell_type" : " code" ,
153
141
"execution_count" : null ,
154
- "metadata" : {
155
- "collapsed" : false
156
- },
142
+ "metadata" : {},
157
143
"outputs" : [],
158
144
"source" : []
159
145
},
167
153
{
168
154
"cell_type" : " code" ,
169
155
"execution_count" : null ,
170
- "metadata" : {
171
- "collapsed" : false
172
- },
156
+ "metadata" : {},
173
157
"outputs" : [],
174
158
"source" : []
175
159
},
176
160
{
177
161
"cell_type" : " markdown" ,
178
162
"metadata" : {},
179
163
"source" : [
180
- " ### Step 10. Select every row after the fourth row"
164
+ " ### Step 10. Select every row after the fourth row and all columns "
181
165
]
182
166
},
183
167
{
184
168
"cell_type" : " code" ,
185
169
"execution_count" : null ,
186
- "metadata" : {
187
- "collapsed" : false
188
- },
170
+ "metadata" : {},
189
171
"outputs" : [],
190
172
"source" : []
191
173
},
192
174
{
193
175
"cell_type" : " markdown" ,
194
176
"metadata" : {},
195
177
"source" : [
196
- " ### Step 11. Select every row up to the 4th row"
178
+ " ### Step 11. Select every row up to the 4th row and all columns "
197
179
]
198
180
},
199
181
{
200
182
"cell_type" : " code" ,
201
183
"execution_count" : null ,
202
- "metadata" : {
203
- "collapsed" : false
204
- },
184
+ "metadata" : {},
205
185
"outputs" : [],
206
186
"source" : []
207
187
},
215
195
{
216
196
"cell_type" : " code" ,
217
197
"execution_count" : null ,
218
- "metadata" : {
219
- "collapsed" : false
220
- },
198
+ "metadata" : {},
221
199
"outputs" : [],
222
200
"source" : []
223
201
},
231
209
{
232
210
"cell_type" : " code" ,
233
211
"execution_count" : null ,
234
- "metadata" : {
235
- "collapsed" : false
236
- },
212
+ "metadata" : {},
237
213
"outputs" : [],
238
214
"source" : []
239
215
},
247
223
{
248
224
"cell_type" : " code" ,
249
225
"execution_count" : null ,
250
- "metadata" : {
251
- "collapsed" : false
252
- },
226
+ "metadata" : {},
253
227
"outputs" : [],
254
228
"source" : []
255
229
},
263
237
{
264
238
"cell_type" : " code" ,
265
239
"execution_count" : null ,
266
- "metadata" : {
267
- "collapsed" : false
268
- },
240
+ "metadata" : {},
269
241
"outputs" : [],
270
242
"source" : []
271
243
},
279
251
{
280
252
"cell_type" : " code" ,
281
253
"execution_count" : null ,
282
- "metadata" : {
283
- "collapsed" : false
284
- },
254
+ "metadata" : {},
285
255
"outputs" : [],
286
256
"source" : []
287
257
},
295
265
{
296
266
"cell_type" : " code" ,
297
267
"execution_count" : null ,
298
- "metadata" : {
299
- "collapsed" : false
300
- },
268
+ "metadata" : {},
301
269
"outputs" : [],
302
270
"source" : []
303
271
},
311
279
{
312
280
"cell_type" : " code" ,
313
281
"execution_count" : null ,
314
- "metadata" : {
315
- "collapsed" : false
316
- },
282
+ "metadata" : {},
317
283
"outputs" : [],
318
284
"source" : []
319
285
}
320
286
],
321
287
"metadata" : {
322
288
"kernelspec" : {
323
- "display_name" : " Python 2 " ,
289
+ "display_name" : " Python 3 " ,
324
290
"language" : " python" ,
325
- "name" : " python2 "
291
+ "name" : " python3 "
326
292
},
327
293
"language_info" : {
328
294
"codemirror_mode" : {
329
295
"name" : " ipython" ,
330
- "version" : 2
296
+ "version" : 3
331
297
},
332
298
"file_extension" : " .py" ,
333
299
"mimetype" : " text/x-python" ,
334
300
"name" : " python" ,
335
301
"nbconvert_exporter" : " python" ,
336
- "pygments_lexer" : " ipython2 " ,
337
- "version" : " 2 .7.11 "
302
+ "pygments_lexer" : " ipython3 " ,
303
+ "version" : " 3 .7.3 "
338
304
}
339
305
},
340
306
"nbformat" : 4 ,
341
- "nbformat_minor" : 0
307
+ "nbformat_minor" : 1
342
308
}
Original file line number Diff line number Diff line change 707
707
"cell_type" : " markdown" ,
708
708
"metadata" : {},
709
709
"source" : [
710
- " ### Step 10. Select every row after the fourth row"
710
+ " ### Step 10. Select every row after the fourth row and all columns "
711
711
]
712
712
},
713
713
{
897
897
"cell_type" : " markdown" ,
898
898
"metadata" : {},
899
899
"source" : [
900
- " ### Step 11. Select every row up to the 4th row"
900
+ " ### Step 11. Select every row up to the 4th row and all columns "
901
901
]
902
902
},
903
903
{
1938
1938
"name" : " python" ,
1939
1939
"nbconvert_exporter" : " python" ,
1940
1940
"pygments_lexer" : " ipython3" ,
1941
- "version" : " 3.6.5 "
1941
+ "version" : " 3.7.3 "
1942
1942
}
1943
1943
},
1944
1944
"nbformat" : 4 ,
You can’t perform that action at this time.
0 commit comments