def _get_df(self, n, sort):
half_entries = int(n / 2)
if len(self) <= n:
df = self.df.astype(object)
else:
if self.stranded:
top = _get_stranded_f(self, half_entries, "head", sort)
bottom = _get_stranded_f(self, half_entries, "tail", sort)
else:
top = _get_unstranded_f(self, half_entries, "head", sort)
bottom = _get_unstranded_f(self, half_entries, "tail", sort)
middle = top.head(1)
# dot_dot_line.loc[:, :] = "..."
df = pd.concat([top, middle, bottom]).astype(object)
return df
def _get_df(self, n, sort):
half_entries = int(n / 2)
if len(self) <= n:
df = self.df.astype(object)
if sort:
df = df.sort_values(sort_cols)
else:
if self.stranded:
top = _get_stranded_f(self, half_entries, "head", sort)
bottom = _get_stranded_f(self, half_entries, "tail", sort)
else:
top = _get_unstranded_f(self, half_entries, "head", sort)
bottom = _get_unstranded_f(self, half_entries, "tail", sort)
middle = top.head(1)
# dot_dot_line.loc[:, :] = "..."
df = pd.concat([top, middle, bottom]).astype(object)
# df = df.reset_index(drop=True)
# df = df.reindex(index=natsort.order_by_index(df.index, natsort.index_natsorted(zip(df.Chromosome))))
return df
_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)
