softverse · PyPI · Python

pandas

Loaded by the replication code of 732 papers

80.5% of the 909 deposits with Python code; 525 from Dataverse, 207 from Zenodo.

Share of Python deposits, by year

0%51%102%20202021202220232024202520262020: 31 of 39 deposits, 79.5%2021: 62 of 82 deposits, 75.6%2022: 57 of 69 deposits, 82.6%2023: 86 of 107 deposits, 80.4%2024: 127 of 152 deposits, 83.6%2025: 171 of 206 deposits, 83.0%2026: 155 of 176 deposits, 88.1%

Years with fewer than 30 deposits containing Python code are left out.

Journals

JournalDeposits
Economic Journal61
Review of Economic Studies58
pan57
rfs57
restat56
Econometrica; Quantitative Economics; Theoretical Economics56
culturalanalytics49
qje46
JPE31
the_review24
Journal of the European Economic Association24
jop22
JAERE22
PSRM18
ajps16
BJPolS16
JPE_Microeconomics9
lsq8
perspectives8
researchandpolitics8
JPE_Macroeconomics7
FPA7
hsscomms6
rcfs6
Econometrics Journal6
jlc5
ntj4
raps4
isq4
cps4
polbehavior3
xps3
johd3
AEA Data Editor's office (multiple AEA titles)2
EDCC2
ps2
JJPS2
technology_science1
internationalinteractions1
economics1
jopd1
JPublicPolicy1
lcnapsa1
rbcp1
ipsr-risp1
revistadados1
rac1
IOJ1
jhr1
jri1
world-politics1
se1
jhpe1

Functions called

FunctionDepositsCalls
DataFrame4056,919
read_csv3986,521
concat2733,513
read_excel132974
to_datetime1181,483
Series1162,335
read_stata114690
merge1111,591
to_numeric76466
read_pickle47632
isna46332
set_option45350
DataFrame.from_dict43283
qcut34181
isnull32139
get_dummies3180
read_parquet30458
cut30125
date_range29616
ExcelWriter2666
melt24109
Categorical22326
MultiIndex.from_tuples20124
Timestamp19697
Timedelta19327
notna18128
DateOffset1789
crosstab1752
ExcelFile1642
Index15659
MultiIndex.from_product15105
notnull1560
pivot_table1552
read_json1248
DataFrame.from_records1240
factorize11101
wide_to_long1123
Grouper998
MonthEnd918
DatetimeIndex8278
read_feather838
read_table823
to_timedelta7137
unique781
read_sas759
CategoricalDtype671
NamedAgg651
read_hdf649
read_sql641
BDay637

A call is counted only where the code names the package, as in pandas::f() or through an import alias, so these undercount calls made after a plain library().

Versions researchers stated

VersionStated inDeposits
==2.2.3requirements_txt12
==2.0.3requirements_txt7
==1.5.3requirements_txt5
==2.2.2requirements_txt5
==1.5.2requirements_txt4
==2.1.4requirements_txt3
==2.2.1requirements_txt3
==2.3.3requirements_txt3
==3.0.3requirements_txt3
==1.2.4requirements_txt3
==1.3.5requirements_txt3
==1.0.3requirements_txt3
==2.3.1requirements_txt2
==0.23.4requirements_txt2
==1.3.0requirements_txt2
==3.0.2requirements_txt2
==3.0.0requirements_txt2
==1.1.5requirements_txt2
==2.3.0requirements_txt2
==1.3.4requirements_txt2
==3.0.1requirements_txt2
==2.2.0requirements_txt2
>=1.5requirements_txt2
==2.0.1requirements_txt2
>=2.0requirements_txt2
==2.1.3requirements_txt2
>=2.0.2requirements_txt2
~=1.0.4requirements_txt1
>=1.2.0requirements_txt1
==1.5.1requirements_txt1
>=2.2requirements_txt1
==1.4.2requirements_txt1
==1.5.3shell_install1
==2.1.1requirements_txt1
==0.24.2requirements_txt1
==1.0.5requirements_txt1
>=1.5.0requirements_txt1
==2.3.2requirements_txt1
==1.3.5shell_install1
==1.4.0requirements_txt1
==1.2.5requirements_txt1
~=2.2.3requirements_txt1
<0.25,>=0.24requirements_txt1
==0.24.1requirements_txt1
==0.20.3requirements_txt1
~=2.1.0requirements_txt1
>=0.20.3requirements_txt1
==0.23.3requirements_txt1
>=1.2.1requirements_txt1
>=1.0.5requirements_txt1

The 732 deposits

DepositJournalYear
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doi:10.7910/DVN/5BPEXHrestat2026
doi:10.7910/DVN/7UDPFLculturalanalytics2026
doi:10.7910/DVN/7X30QRculturalanalytics2026
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doi:10.7910/DVN/8YM9LRhsscomms2026
doi:10.7910/DVN/9AEOAUJPE2026
doi:10.7910/DVN/9W5DBMpan2026
doi:10.7910/DVN/A2SO4Irfs2026
doi:10.7910/DVN/ACHCR7JPE_Microeconomics2026
doi:10.7910/DVN/AD7GJYBJPolS2026
doi:10.7910/DVN/AQIPI0restat2026
doi:10.7910/DVN/BO8SQ8rfs2026
doi:10.7910/DVN/C5L1D4rcfs2026
doi:10.7910/DVN/CT8PDMJPE2026
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doi:10.7910/DVN/EEFXATJPE2026
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