def main(base_dir):
r=Reader(os.path.join(base_dir, "tutorial_datatype_02.ods"))
to_array(r)
def cleanse_func(v):
v = v.replace(" ", "")
v = v.rstrip().strip()
return v
sf = SheetFormatter(cleanse_func)
r.add_formatter(sf)
to_array(r)
def main(base_dir):
r = Reader(os.path.join(base_dir, "tutorial_datatype_02.ods"))
to_array(r)
def cleanse_func(v):
v = v.replace(" ", "")
v = v.rstrip().strip()
return v
sf = SheetFormatter(cleanse_func)
r.add_formatter(sf)
to_array(r)
# Column 1 Column 2 Column 3
# 1 4 7
# 2 5 8
# 3 6 9
reader = SeriesReader("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.series()
# [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
from pyexcel import Reader
from pyexcel.utils import to_array
from pyexcel.formatters import SheetFormatter
from pyexcel.formatters import STRING_FORMAT
r=Reader("tutorial_datatype_02.ods")
to_array(r)
def cleanse_func(v, t):
v = v.replace(" ", "")
v = v.rstrip().strip()
return v
sf = SheetFormatter(STRING_FORMAT, cleanse_func)
r.add_formatter(sf)
to_array(r)
from pyexcel import Reader
from pyexcel.utils import to_array
import json
# "example.xls","example.xlsx","example.ods", "example.xlsm"
reader = Reader("example.csv")
data = to_array(reader.rows())
print json.dumps(data)
# Column 1 Column 2 Column 3
# 1 4 7
# 2 5 8
# 3 6 9
reader = SeriesReader("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.series()
# [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
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
reader.save_as("example_series_filter.xls")
def main(base_dir):
# "example.xls","example.xlsx","example.ods", "example.xlsm"
reader = Reader(os.path.join(base_dir,"example.csv"))
data = to_array(reader.rows())
print(json.dumps(data))