def msp(self, n=30, formatting=None):
print(
tostring(self,
n=n,
merge_position=True,
sort=True,
formatting=formatting))
def print(self, n=8, merge_position=False, sort=False, formatting=None):
s = tostring(self,
n=n,
merge_position=merge_position,
sort=sort,
formatting=formatting)
print(s)
def print(self, n=8, merge_position=False, sort=False, formatting=None, chain=False):
s = tostring(
self,
n=n,
merge_position=merge_position,
sort=sort,
formatting=formatting)
print(s)
if chain:
return self
_columns_dtypes = {}
_columns_dtypes["- Position -"] = "Multiple types"
for k, v in columns_dtypes.items():
_columns_dtypes[k] = v
columns_dtypes = _columns_dtypes
df = df.astype(object).reset_index(drop=True)
if len(self) > n:
middle = int(n / 2)
df.loc[middle, :] = "..."
str_repr, hidden_columns = grow_string_representation(df, columns_dtypes)
str_repr = add_text_to_str_repr(self, str_repr, hidden_columns, sort)
return str_repr
if __name__ == "__main__":
from pyranges.tostring2 import _get_stranded_f, _get_unstranded_f
from pyranges.tostring2 import tostring
import pyranges as pr
gr = pr.data.chipseq()
df = gr.df
_get_stranded_f(gr, 2, "head")
_get_unstranded_f(gr.unstrand(), 6, "tail")
tostring(gr)
def spc(self, n=30, formatting=None):
print(tostring(self, n=n, sort=True, formatting=formatting))
return self
def mpc(self, n=8, formatting=None):
print(tostring(self, n=n, merge_position=True, formatting=formatting))
return self
def pc(self, n=8, formatting=None):
print(tostring(self, n=n, formatting=formatting))
return self
def __str__(self):
return tostring(self)
