@@ -192,7 +192,7 @@ or Excel sheets (see documentation of :py:func:`read_excel` for more details)
192192
193193 # loads array from the first sheet if no sheetname is given
194194 @verbatim
195- pop = read_excel(example_dir + ' data .xlsx' , ' pop' )
195+ pop = read_excel(example_dir + ' demography .xlsx' , ' pop' )
196196
197197 @suppress
198198 pop = read_csv(example_dir + ' pop.csv' )
@@ -205,7 +205,7 @@ documentation of :py:func:`read_hdf` for more details)
205205
206206.. ipython :: python
207207
208- mortality = read_hdf(example_dir + ' data .h5' ,' qx' )
208+ mortality = read_hdf(example_dir + ' demography .h5' ,' qx' )
209209 mortality.info
210210
211211 Dump in files
@@ -225,15 +225,15 @@ or in Excel files (see documentation of :py:meth:`~LArray.to_excel` for more det
225225
226226 # if the file does not already exist, it is created with a single sheet,
227227 # otherwise a new sheet is added to it
228- household.to_excel(' data2 .xlsx' , overwrite_file = True )
228+ household.to_excel(' demography_2 .xlsx' , overwrite_file = True )
229229 # it is usually better to specify the sheet explicitly (by name or position) though
230- household.to_excel(' data2 .xlsx' , ' hh' )
230+ household.to_excel(' demography_2 .xlsx' , ' hh' )
231231
232232 or in HDF5 files (see documentation of :py:meth: `~LArray.to_hdf ` for more details)
233233
234234.. ipython :: python
235235
236- household.to_hdf(' data2 .h5' , ' hh' )
236+ household.to_hdf(' demography_2 .h5' , ' hh' )
237237
238238 more Excel IO
239239~~~~~~~~~~~~~
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