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Add splice cycles for Neware (summary + cycles)

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rasmusvt 2022-08-01 15:47:46 +02:00
parent 574f633db0
commit 9ebab7d6ee
1 changed files with 47 additions and 0 deletions
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47
nafuma/electrochemistry/io.py
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@ -206,6 +206,47 @@ def splice_cycles(df, options: dict) -> pd.DataFrame:
add = df['specific_capacity'].iloc[i-1] add = df['specific_capacity'].iloc[i-1]
df['specific_capacity'].iloc[i:last_chg] = df['specific_capacity'].iloc[i:last_chg] + add df['specific_capacity'].iloc[i:last_chg] = df['specific_capacity'].iloc[i:last_chg] + add
if options['kind'] == 'neware':
if options['summary']:
for i in range(df['cycle'].max()):
sub_df = df.loc[df['cycle'] == i+1].copy()
if sub_df['status'].loc[sub_df['status'] == 'CC Chg'].count() > 1:
indices = sub_df.index[sub_df['status'] == 'CC Chg']
add_columns = ['capacity', 'specific_capacity', 'ions', 'energy', 'cycle_time']
for column in add_columns:
if column in df.columns:
df[column].iloc[indices[-1]] = df[column].iloc[indices[-1]] + df[column].iloc[indices[0]]
df.drop(index=indices[0], inplace=True)
df.reset_index(inplace=True, drop=True)
else:
for i in range(df['cycle'].max()):
sub_df = df.loc[df['cycle'] == i+1].copy()
sub_chg_df = sub_df.loc[sub_df['status'] == 'CC Chg'].copy()
steps_indices = sub_chg_df['steps'].unique()
if len(steps_indices) > 1:
add_columns = ['capacity', 'specific_capacity', 'ions', 'energy', 'cycle_time']
for column in add_columns:
if column in df.columns:
# Extract the maximum value from the first of the two cycles by accessing the column value of the highest index of the first cycle
add = df[column].iloc[df.loc[df['steps'] == steps_indices[0]].index.max()]
df[column].loc[df['steps'] == steps_indices[1]] += add
return df return df
@ -245,6 +286,9 @@ def process_neware_data(df, options={}):
df = unit_conversion(df=df, options=options) # converts all units from the old units to the desired units df = unit_conversion(df=df, options=options) # converts all units from the old units to the desired units
if options['splice_cycles']:
df = splice_cycles(df=df, options=options)
# Creates masks for charge and discharge curves # Creates masks for charge and discharge curves
chg_mask = df['status'] == 'CC Chg' chg_mask = df['status'] == 'CC Chg'
@ -294,6 +338,9 @@ def process_neware_data(df, options={}):
df = add_columns(df=df, options=options) df = add_columns(df=df, options=options)
df = unit_conversion(df=df, options=options) df = unit_conversion(df=df, options=options)
if options['splice_cycles']:
df = splice_cycles(df=df, options=options)
return df return df