#[[1.0, 4.0, 7.0], [2.0, 5.0, 8.0], [3.0, 6.0, 9.0]]
# get a two dimensional array in reverse
# order
data = to_array(reader.rrows())
print data
# [[3.0, 6.0, 9.0], [2.0, 5.0, 8.0], [1.0, 4.0, 7.0]]
# get a two dimensional array but stack columns
data = to_array(reader.columns())
print data
# [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]]
# get a two dimensional array but stack columns
# in reverse order
data = to_array(reader.rcolumns())
print data
#[[7.0, 8.0, 9.0], [4.0, 5.0, 6.0], [1.0, 2.0, 3.0]]
# filter out odd rows and even columns
reader.filter(OddRowFilter())
reader.filter(EvenColumnFilter())
data = to_dict(reader)
print data
# {u'Column 3': [8.0], u'Column 1': [2.0]}
# and you can write the filtered results
# into a file
w = Writer("example_series_filter.xls")
w.write_reader(reader)
w.close()
#[[1.0, 4.0, 7.0], [2.0, 5.0, 8.0], [3.0, 6.0, 9.0]]
# get a two dimensional array in reverse
# order
data = to_array(reader.rrows())
print data
# [[3.0, 6.0, 9.0], [2.0, 5.0, 8.0], [1.0, 4.0, 7.0]]
# get a two dimensional array but stack columns
data = to_array(reader.columns())
print data
# [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]]
# get a two dimensional array but stack columns
# in reverse order
data = to_array(reader.rcolumns())
print data
#[[7.0, 8.0, 9.0], [4.0, 5.0, 6.0], [1.0, 2.0, 3.0]]
# filter out odd rows and even columns
reader.filter(OddRowFilter())
reader.filter(EvenColumnFilter())
data = to_dict(reader)
print data
# {u'Column 3': [8.0], u'Column 1': [2.0]}
# and you can write the filtered results
# into a file
w = Writer("example_series_filter.xls")
w.write_reader(reader)
w.close()
def main(base_dir):
# print all in json
#
# Column 1 Column 2 Column 3
# 1 4 7
# 2 5 8
# 3 6 9
reader = SeriesReader(os.path.join(base_dir,"example_series.ods"))
data = to_dict(reader)
print(json.dumps(data))
# output:
# {"Column 2": [4.0, 5.0, 6.0], "Column 3": [7.0, 8.0, 9.0], "Column 1": [1.0, 2.0, 3.0]}
# get the column headers
print(reader.colnames)
# [u'Column 1', u'Column 2', u'Column 3']
# get the content in one dimensional array
data = to_array(reader.enumerate())
print(data)
# [1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0]
# get the content in one dimensional array
# in reverse order
data = to_array(reader.reverse())
print(data)
# get the content in one dimensional array
# but iterate it vertically
data = to_array(reader.vertical())
print(data)
# [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0]
# get the content in one dimensional array
# but iterate it vertically in revserse
# order
data = to_array(reader.rvertical())
print(data)
#[9.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0]
# get a two dimensional array
data = to_array(reader.rows())
print(data)
#[[1.0, 4.0, 7.0], [2.0, 5.0, 8.0], [3.0, 6.0, 9.0]]
# get a two dimensional array in reverse
# order
data = to_array(reader.rrows())
print(data)
# [[3.0, 6.0, 9.0], [2.0, 5.0, 8.0], [1.0, 4.0, 7.0]]
# get a two dimensional array but stack columns
data = to_array(reader.columns())
print(data)
# [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]]
# get a two dimensional array but stack columns
# in reverse order
data = to_array(reader.rcolumns())
print(data)
#[[7.0, 8.0, 9.0], [4.0, 5.0, 6.0], [1.0, 2.0, 3.0]]
# filter out odd rows and even columns
reader.filter(OddRowFilter())
reader.filter(EvenColumnFilter())
data = to_dict(reader)
print(data)
# {u'Column 3': [8.0], u'Column 1': [2.0]}
# and you can write the filtered results
# into a file
w = Writer("example_series_filter.xls")
w.write_reader(reader)
w.close()
