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lines changed Original file line number Diff line number Diff line change @@ -71,6 +71,7 @@ Contents
7171 raccoon.rst
7272 usage_dataframe.rst
7373 usage_series.rst
74+ usage_dropin.rst
7475 convert_pandas.rst
7576 speed_test.rst
7677
Original file line number Diff line number Diff line change @@ -5,6 +5,8 @@ FOR %%a IN (%~dp0\.) do set RACCOON=%%~dpa
55set OLD_PYTHONPATH = %PYTHONPATH%
66set PYTHONPATH = %PYTHONPATH% ;%RACCOON%
77
8- jupyter nbconvert --to rst --execute --output usage.rst ..\examples\usage.ipynb
8+ jupyter nbconvert --to rst --execute --output usage_dataframe.rst ..\examples\usage_dataframe.ipynb
9+ jupyter nbconvert --to rst --execute --output usage_series.rst ..\examples\usage_series.ipynb
10+ jupyter nbconvert --to rst --execute --output usage_dropin.rst ..\examples\usage_dropin.ipynb
911jupyter nbconvert --to rst --execute --output speed_test.rst ..\examples\speed_test.ipynb
1012set PYTHONPATH = %OLD_PYTHONPATH%
Original file line number Diff line number Diff line change 1111 },
1212 {
1313 "cell_type" : " code" ,
14- "execution_count" : 2 ,
14+ "execution_count" : 1 ,
1515 "metadata" : {
16- "collapsed" : true
16+ "pycharm" : {
17+ "is_executing" : false
18+ }
1719 },
1820 "outputs" : [],
21+ "source" : [
22+ " # remove comment to use latest development version\n " ,
23+ " import sys; sys.path.insert(0, '../')"
24+ ]
25+ },
26+ {
27+ "cell_type" : " code" ,
28+ "execution_count" : 2 ,
29+ "metadata" : {},
30+ "outputs" : [],
1931 "source" : [
2032 " import raccoon as rc\n " ,
2133 " import pandas as pd"
3143 },
3244 {
3345 "cell_type" : " code" ,
34- "execution_count" : 4 ,
46+ "execution_count" : 3 ,
3547 "metadata" : {},
3648 "outputs" : [],
3749 "source" : [
4860 },
4961 {
5062 "cell_type" : " code" ,
51- "execution_count" : 10 ,
63+ "execution_count" : 4 ,
5264 "metadata" : {},
5365 "outputs" : [
5466 {
7284 },
7385 {
7486 "cell_type" : " code" ,
75- "execution_count" : 11 ,
87+ "execution_count" : 5 ,
7688 "metadata" : {},
7789 "outputs" : [
7890 {
103115 },
104116 {
105117 "cell_type" : " code" ,
106- "execution_count" : 8 ,
107- "metadata" : {
108- "collapsed" : true
109- },
118+ "execution_count" : 6 ,
119+ "metadata" : {},
110120 "outputs" : [],
111121 "source" : [
112122 " def pd_to_rc(pandas_dataframe):\n " ,
130140 },
131141 {
132142 "cell_type" : " code" ,
133- "execution_count" : 12 ,
143+ "execution_count" : 7 ,
134144 "metadata" : {},
135145 "outputs" : [
136146 {
153163 },
154164 {
155165 "cell_type" : " code" ,
156- "execution_count" : 13 ,
166+ "execution_count" : 8 ,
157167 "metadata" : {},
158168 "outputs" : [
159169 {
178188 ],
179189 "metadata" : {
180190 "kernelspec" : {
181- "display_name" : " Python 3 " ,
191+ "display_name" : " Python [conda env:.conda-raccoon] " ,
182192 "language" : " python" ,
183- "name" : " python3 "
193+ "name" : " conda-env-.conda-raccoon-py "
184194 },
185195 "language_info" : {
186196 "codemirror_mode" : {
192202 "name" : " python" ,
193203 "nbconvert_exporter" : " python" ,
194204 "pygments_lexer" : " ipython3" ,
195- "version" : " 3.6.1 "
205+ "version" : " 3.7.4 "
196206 }
197207 },
198208 "nbformat" : 4 ,
199- "nbformat_minor" : 2
209+ "nbformat_minor" : 4
200210}
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