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np.NaN deprecated for np.nan #78

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Merged
jngrad merged 1 commit into from
Aug 5, 2024
Merged

np.NaN deprecated for np.nan #78

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4 changes: 2 additions & 2 deletions pyMBE.py
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Original file line number Diff line number Diff line change
Expand Up @@ -714,14 +714,14 @@ def copy_df_entry(self, name, column_name, number_of_copies):
else:
df_by_name = df_by_name[df_by_name.index == df_by_name.index.min()]
df_by_name_repeated = pd.concat ([df_by_name]*(number_of_copies), ignore_index=True)
df_by_name_repeated[column_name] =np.NaN
df_by_name_repeated[column_name] =np.nan
# Concatenate the new particle rows to `df`
self.df = pd.concat ([self.df,df_by_name_repeated], ignore_index=True)
else:
if not df_by_name[column_name].isnull().values.any():
df_by_name = df_by_name[df_by_name.index == df_by_name.index.min()]
df_by_name_repeated = pd.concat ([df_by_name]*(number_of_copies), ignore_index=True)
df_by_name_repeated[column_name] =np.NaN
df_by_name_repeated[column_name] =np.nan
self.df = pd.concat ([self.df,df_by_name_repeated], ignore_index=True)
return

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