Skip to content

Nulpoints pandas patch #23

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
Nulpoints wants to merge 2 commits into
base: main
Choose a base branch
from
Open

Nulpoints pandas patch #23

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
3e5ee76
Update pandas version to 2.3.3
Nulpoints Dec 15, 2025
3cfc3e2
Fix NaN checks and update DataFrame indexing
Nulpoints Dec 15, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 3 additions & 3 deletions parse-hamnosys.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@

def equal_to_nan(a):
# TBD remove not needed logic
return ((a == np.NaN) | (np.isnan(a) & np.isnan(np.NaN))).all()
return ((a == np.nan) | (np.isnan(a) & np.isnan(np.nan))).all()


def get_args_parser():
Expand Down Expand Up @@ -139,7 +139,7 @@ def main(args):
"Handposition - LR",
"Handposition - TB",
"Handposition - Distance"],
fill_value=np.NaN)
fill_value=np.nan)

# Change default values for columns where 0 means None
data["NonDom first"] = 0
Expand Down Expand Up @@ -839,7 +839,7 @@ def main(args):
for index, row in df.iterrows():
error = 0
for i in range(1, len(df.columns)):
if math.isclose(float(row[i]), float(-1.0), rel_tol=1e-5):
if math.isclose(float(row.iloc[i]), float(-1.0), rel_tol=1e-5):
error = 1
df_success = df_success.drop(index)
break
Expand Down
2 changes: 1 addition & 1 deletion requirements.txt
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1 +1 @@
pandas~=1.1.5
pandas~=2.3.3