Tags
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plotting
Pandas allows us to create a number of different plot types, using an API that wraps around Matplotlib. We can create line, bar, pie, scatter, and box plots, among others.
156 issues
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grouping
104 issues
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datetime
Pandas offers a wide set of functionality having to do with dates and times, from extracting values to calculating the differences between dates, to time series, to resampling.
88 issues
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csv
77 issues
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excel
74 issues
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pivot-table
A pivot table redisplays information from a data frame in a new way: It uses the unique values from one column as its index, the unique values from a second column for its columns, and then applies an aggregation function to all of the values in each row-column intersection.
61 issues
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strings
59 issues
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window-functions
Window functions perform aggregate operations across either a growing number of rows or a "sliding window" of rows.
53 issues
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cleaning
50 issues
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joins
Joining data frames together with "join" and "merge"
49 issues
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multi-index
In Pandas, the rows and columns are labeled with an index. But each of them can have more than one dimension, known as a "multi-index."
44 issues
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multiple-files
40 issues
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filtering
36 issues
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regular-expressions
35 issues
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sorting
27 issues
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correlations
22 issues
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stack-unstack
21 issues
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pipe
20 issues
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web-scraping
19 issues
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comprehensions
18 issues
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pyarrow
18 issues
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memory-optimization
16 issues
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missing-data
16 issues
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api
15 issues
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apply-function
14 issues
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formatting
14 issues
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index-operations
12 issues
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seaborn
9 issues
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json
8 issues
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geopandas
8 issues
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interpolation
6 issues
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speed-optimization
6 issues
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office-hours
5 issues
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polars
4 issues
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styling
4 issues
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pdf-extraction
4 issues
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cutting
2 issues
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outlier-detection
2 issues
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yaml
2 issues
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duckdb
2 issues
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functions
2 issues
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great-tables
2 issues
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where
2 issues
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fixed-width-fields
2 issues
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regression
2 issues
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chatbot
2 issues
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encoding
2 issues
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dummy-values
2 issues
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method-chaining
2 issues
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crosstabs
2 issues
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renaming-columns
2 issues
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sas
2 issues
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streamlit
2 issues
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timing
1 issue