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Replace with appropriate .loc or .iloc method. #2969

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Replace with appropriate .loc or .iloc method. #2969

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60f8a33
Changed old .ix method to .iloc
rohit2p Feb 13, 2025
015a85a
mailmap
rohit2p Feb 13, 2025
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2 changes: 2 additions & 0 deletions .mailmap
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Original file line number Diff line number Diff line change
Expand Up @@ -185,6 +185,8 @@ Ran Livneh <ran.livneh@weizmann.ac.il> Ran Livneh <livnehra@gmail.com>
Ryan Groneck <GroneckR@msu.edu>
Ryan Groneck <GroneckR@msu.edu> RyanGroneck <GroneckR@msu.edu>

Rohit Prasad <rohitprasad20022@gmail.com>

Sampark Sharma <samparksharma2000@gmail.com>

Shilpi Prasad <shilpiprd@gmail.com>
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16 changes: 8 additions & 8 deletions tardis/analysis.py
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Expand Up @@ -244,13 +244,13 @@ def onpick(event):
print(
"Line_in"
f"({len(event.ind)}/{self.current_no_packets})"
f":\n{self.last_line_list_in.ix[event.ind]}"
f":\n{self.last_line_list_in.iloc[event.ind]}"
)
print("\n\n")
print(
"Line_out"
f"({len(event.ind)}/{self.current_no_packets})"
f":\n{self.last_line_list_in.ix[event.ind]}"
f":\n{self.last_line_list_in.iloc[event.ind]}"
)
print("^" * 80)

Expand Down Expand Up @@ -306,7 +306,7 @@ def load_t_inner(self, iterations=None):

for iter in iterations:
t_inners.append(
hdf_store[f"model{iter:03d}/configuration"].ix["t_inner"]
hdf_store[f"model{iter:03d}/configuration"].iloc["t_inner"]
)
hdf_store.close()

Expand Down Expand Up @@ -435,7 +435,7 @@ def calculate_relative_lte_level_populations(self, species, iteration=-1):
t_rads = self.load_t_rads(iteration)
beta_rads = 1 / (constants.k_B.cgs.value * t_rads.values[:, 0])

species_levels = self.levels.ix[species]
species_levels = self.levels.iloc[species]

relative_lte_level_populations = (
species_levels.g.values[np.newaxis].T
Expand All @@ -451,14 +451,14 @@ def calculate_departure_coefficients(self, species, iteration=-1):
t_rads = self.load_t_rads(iteration)
beta_rads = 1 / (constants.k_B.cgs.value * t_rads.values[:, 0])

species_levels = self.levels.ix[species]
species_level_populations = self.load_level_populations(iteration).ix[
species_levels = self.levels.iloc[species]
species_level_populations = self.load_level_populations(iteration).iloc[
species
]
departure_coefficient = (
(species_level_populations.values * species_levels.g.ix[0])
(species_level_populations.values * species_levels.g.iloc[0])
/ (
species_level_populations.ix[0].values
species_level_populations.iloc[0].values
* species_levels.g.values[np.newaxis].T
)
) * np.exp(beta_rads * species_levels.energy.values[np.newaxis].T)
Expand Down
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