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merge suffixes when col ar present in both df #77

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merge suffixes when col ar present in both df #77

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f02cd92
merge suffixes when col ar present in both df
kaa-serpent May 9, 2023
8a04509
suffix on all merge
kaa-serpent May 9, 2023
1a6d669
recup date fix float
kaa-serpent May 9, 2023
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17 changes: 10 additions & 7 deletions chargement_propilot.py
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Original file line number Diff line number Diff line change
Expand Up @@ -161,9 +161,12 @@ def get_df_sum_indicator(df_dep: pd.DataFrame,

def recup_date(string: str) -> str:
"""
retire les informations inutile présente dans la date '2020-12-31T00:00:00.0000000' -> '2020-12-31'
retire les informations inutile présente dans la date '2020-12-31T00:00:00.0000000' -> '2020-12-31' seulement pour les str
"""
return string[:10]
if isinstance(string, str):
return string[:10]
else:
return string


def mkdir_ifnotexist(path: str):
Expand Down Expand Up @@ -212,11 +215,11 @@ def load_propilot():
~df_dict["fact_financials"].financials_cumulated_amount.isna()]

df = (df_dict["fact_financials"]
.merge(df_dict["dim_tree_nodes"], left_on="tree_node_id", right_on="tree_node_id")
.merge(df_dict["dim_effects"], left_on="effect_id", right_on="effect_id")
.merge(df_dict["dim_states"], left_on="state_id", right_on="state_id")
.merge(df_dict["dim_period"], left_on="period_id", right_on="period_id", how='left')
.merge(df_dict["dim_structures"], left_on="structure_id", right_on="structure_id"))
.merge(df_dict["dim_tree_nodes"], left_on="tree_node_id", right_on="tree_node_id", suffixes=('', '_right'))
.merge(df_dict["dim_effects"], left_on="effect_id", right_on="effect_id", suffixes=('', '_right'))
.merge(df_dict["dim_states"], left_on="state_id", right_on="state_id", suffixes=('', '_right'))
.merge(df_dict["dim_period"], left_on="period_id", right_on="period_id", how='left', suffixes=('', '_right'))
.merge(df_dict["dim_structures"], left_on="structure_id", right_on="structure_id", suffixes=('', '_right')))

df['dep_code'] = df['tree_node_code'].apply(lambda x: extract_dep_code(x))

Expand Down