pandas

E17660

pandas is a popular open-source Python library that provides powerful, easy-to-use data structures and tools for data analysis and manipulation.

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Observed surface forms (1)

Surface form Occurrences
Pandas 4

Statements (59)

Predicate Object
instanceOf Python library
data analysis library
data manipulation library
open-source software
commonlyUsedWith Jupyter Notebook
Matplotlib
NumPy
SciPy
scikit-learn
coreDataStructure DataFrame
Series
dependsOn NumPy
ecosystem Python scientific stack
hasIndexingFeature boolean indexing
integer-based indexing
label-based indexing
implements DataFrame data structure
Series data structure
license BSD license
surface form: BSD 3-Clause License
programmingLanguage Python
supports data aggregation
data alignment
data filtering
data reshaping
group by operations
heterogeneous data
missing data handling
reading CSV files
reading Excel files
reading JSON files
reading SQL databases
tabular data
time series data
time series resampling
writing CSV files
writing Excel files
writing JSON files
writing SQL databases
supportsOperation concatenate
descriptive statistics
expanding window calculations
join
merge
pivot
pivot_table
rolling window calculations
stack
unstack
targetUser data analysts
data scientists
machine learning engineers
scientists
software engineers
usedFor data cleaning
data preprocessing for machine learning
data wrangling
exploratory data analysis
feature engineering
time series analysis

Referenced by (7)

Full triples — surface form annotated when it differs from this entity's canonical label.

Matplotlib compatibleWith pandas
this entity surface form: Pandas
Python dataScienceLibrary pandas
JointGrid dependsOn pandas
NumPy influenced pandas
Plotly integratesWith pandas
this entity surface form: Pandas
Seaborn integratesWith pandas
this entity surface form: Pandas
this entity surface form: Pandas