pandas | powerful data analysis / manipulation library
kandi X-RAY | pandas Summary
kandi X-RAY | pandas Summary
pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way towards this goal.
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Top functions reviewed by kandi - BETA
- Write the table to a LaTeX file .
- Convert argument to datetime index .
- Add numeric operations .
- Normalize JSON data .
- Read data from a JSON file .
- Convert wide to long .
- Merge two DataFrames .
- Read data from an XML file .
- Create a loc indexer .
- Cut an array .
pandas Key Features
pandas Examples and Code Snippets
- ``read_excel`` now supports an integer in its ``sheetname`` argument giving
the index of the sheet to read in (:issue:`4301`).
- Text parser now treats anything that reads like inf ("inf", "Inf", "-Inf",
"iNf", etc.) as infinity. (:issue:`4220
The :class:`MultiIndex` object is the hierarchical analogue of the standard
:class:`Index` object which typically stores the axis labels in pandas objects. You
can think of ``MultiIndex`` as an array of tuples where each tuple is unique. A
``MultiIn
.. _whatsnew_150.enhancements.pandas-stubs:
``pandas-stubs``
^^^^^^^^^^^^^^^^
The ``pandas-stubs`` library is now supported by the pandas development team, providing type stubs for the pandas API. Please visit
https://github.com/pandas-dev/pandas-
#!/usr/bin/env python3
"""
Python script for building documentation.
To build the docs you must have all optional dependencies for pandas
installed. See the installation instructions for a list of these.
Usage
-----
$ python make.py clean
$
#!/usr/bin/env python3
"""
Script to generate contributor and pull request lists
This script generates contributor and pull request lists for release
announcements using GitHub v3 protocol. Use requires an authentication token in
order to have suffi
from timeit import repeat as timeit
import numpy as np
import seaborn as sns
from pandas import DataFrame
setup_common = """from pandas import DataFrame
from numpy.random import randn
df = DataFrame(randn(%d, 3), columns=list('abc'))
%s"""
setup_
data = pd.read_csv(io.BytesIO(data.content), sep="^")
df['unique_code'] = df['Code'] + '_' + df.groupby('Code').cumcount().add(1).astype(str).str.zfill(4)
df
Out[386]:
Id Code unique_code
0 1 A_01 A_01_0001
1 2 C_03 C_03_0001
2 3 A_01 A_01_0002
3 4 C_02 C_02_0001
4
import pandas as pd
df = pd.DataFrame({'col':['G5051', 'G5052', 5053, 'G5054']})
print(df['col'].astype(str).str.lower())
df = pd.DataFrame(np.array(data).T)
df = pd.DataFrame(list(map(list, zip(*data))))
Community Discussions
Trending Discussions on pandas
QUESTION
The installation on the m1 chip for the following packages: Numpy 1.21.1, pandas 1.3.0, torch 1.9.0 and a few other ones works fine for me. They also seem to work properly while testing them. However when I try to install scipy or scikit-learn via pip this error appears:
ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy which use PEP 517 and cannot be installed directly
Why should Numpy be build again when I have the latest version from pip already installed?
Every previous installation was done using python3.9 -m pip install ...
on Mac OS 11.3.1 with the apple m1 chip.
Maybe somebody knows how to deal with this error or if its just a matter of time.
...ANSWER
Answered 2021-Aug-02 at 14:33Please see this note of scikit-learn
about
Installing on Apple Silicon M1 hardware
The recently introduced
macos/arm64
platform (sometimes also known asmacos/aarch64
) requires the open source community to upgrade the build configuation and automation to properly support it.At the time of writing (January 2021), the only way to get a working installation of scikit-learn on this hardware is to install scikit-learn and its dependencies from the conda-forge distribution, for instance using the miniforge installers:
https://github.com/conda-forge/miniforge
The following issue tracks progress on making it possible to install scikit-learn from PyPI with pip:
QUESTION
version pip 21.2.4 python 3.6
The command:
...ANSWER
Answered 2021-Nov-19 at 13:30It looks like setuptools>=58
breaks support for use_2to3
:
So you should update setuptools
to setuptools<58
or avoid using packages with use_2to3
in the setup parameters.
I was having the same problem, pip==19.3.1
QUESTION
Background
I have a complex nested JSON object, which I am trying to unpack into a pandas df
in a very specific way.
JSON Object
this is an extract, containing randomized data of the JSON object, which shows examples of the hierarchy (inc. children) for 1x family (i.e. 'Falconer Family'), however there is 100s of them in total and this extract just has 1x family, however the full JSON object has multiple -
ANSWER
Answered 2022-Feb-16 at 06:41I think this gets you pretty close; might just need to adjust the various name
columns and drop the extra data (I kept the grouping
column).
The main idea is to recursively use pd.json_normalize with pd.concat for all availalable children
levels.
EDIT: Put everything into a single function and added section to collapse the name
columns like the expected output.
QUESTION
I was using pyspark on AWS EMR (4 r5.xlarge as 4 workers, each has one executor and 4 cores), and I got AttributeError: Can't get attribute 'new_block' on . Below is a snippet of the code that threw this error:
...
ANSWER
Answered 2021-Aug-26 at 14:53I had the same error using pandas 1.3.2 in the server while 1.2 in my client. Downgrading pandas to 1.2 solved the problem.
QUESTION
The following code:
...ANSWER
Answered 2022-Feb-13 at 19:56From the documentation, pandas.DataFrame.drop
has the following parameters:
Parameters
labels: single label or list-like Index or column labels to drop.
axis: {0 or ‘index’, 1 or ‘columns’}, default 0 Whether to drop labels from the index (0 or ‘index’) or columns (1 or ‘columns’).
index: single label or list-like Alternative to specifying axis (labels, axis=0 is equivalent to index=labels).
columns: single label or list-like Alternative to specifying axis (labels, axis=1 is equivalent to columns=labels).
level: int or level name, optional For MultiIndex, level from which the labels will be removed.
inplace: bool, default False If False, return a copy. Otherwise, do operation inplace and return None.
errors: {‘ignore’, ‘raise’}, default ‘raise’ If ‘ignore’, suppress error and only existing labels are dropped.
Moving forward, only labels
(the first parameter) can be positional.
So, for this example, the drop
code should be as follows:
QUESTION
I am trying to set up a conda environment with python 3.10 installed. For some reason, no install commands for additional packages are working. For example, if I run conda install pandas
, I get the error:
ANSWER
Answered 2021-Oct-08 at 08:42Thats a bug in conda, you can read more about it here: https://github.com/conda/conda/issues/10969
Right now there is a PR to fix it but its not a released version. For now, just stick with
QUESTION
I have this output :
[Pandas-profiling] ImportError: cannot import name 'ABCIndexClass' from 'pandas.core.dtypes.generic'
when trying to import pandas-profiling in this fashion :
...ANSWER
Answered 2021-Aug-09 at 19:19Pandas v1.3 renamed the ABCIndexClass
to ABCIndex
. The visions
dependency of the pandas-profiling
package hasn't caught up yet, and so throws an error when it can't find ABCIndexClass
. Downgrading pandas to the 1.2.x series will resolve the issue.
Alternatively, you can just wait for the visions
package to be updated.
QUESTION
Two DataFrames have city names that are not formatted the same way. I'd like to do a Left-outer join and pull geo
field for all partial string matches between the field City
in both DataFrames.
ANSWER
Answered 2021-Sep-12 at 20:24This should do the job. String match with Levenshtein_distance.
pip install thefuzz[speedup]
QUESTION
I want to deconstruct a pandas DataFrame, using column headers as a new data-column and create a list with all combinations of the row index and columns. Easier to show than explain:
...ANSWER
Answered 2021-Nov-09 at 23:58The structure that you want your data in is very messy, so this is probably the best method given the data you want.
QUESTION
I have create this simple env with conda
:
ANSWER
Answered 2021-Nov-06 at 19:03- The default
pkgs/main
channel forconda
has reverted to usingfreetype 2.10.4
for Windows, per main / packages / freetype. - If you are still experiencing the issue, use
conda list freetype
to check the version:freetype != 2.11.0
- If it is 2.11.0, then change the version per the solution, or
conda update --all
(providing your default channel isn't changed in the.condarc
config file).
- If it is 2.11.0, then change the version per the solution, or
- If this is occurring after installing Anaconda, updating
conda
orfreetype
since Oct 27, 2021. - Go to the
Anaconda
prompt and downgradefreetype 2.11.0
in any affected environment.conda install freetype=2.10.4
- Relevant to any package using
matplotlib
and any IDE- For example,
pandas.DataFrame.plot
andseaborn
- Jupyter, Spyder, VSCode, PyCharm, command line.
- For example,
- An issue occurs after updating with the most current updates from
conda
, released Friday, Oct 29. - After updating with
conda update --all
, there's an issue with anything related tomatplotlib
in any IDE (not justJupyter
).- I tested this in
JupyterLab
,PyCharm
, andpython
from the command prompt. - PyCharm:
Process finished with exit code -1073741819
- JupyterLab: kernel just restarts and there are no associated errors or Traceback
- command prompt: a blank interactive matplotlib window will appear briefly, and then a new command line appears.
- I tested this in
- The issue seems to be with
conda update --all
in(base)
, then any plot API that usesmatplotlib
(e.g.seaborn
andpandas.DataFrame.plot
) kills the kernel in any environment. - I had to reinstall Anaconda, but do not do an update of
(base)
, then my other environments worked. - I have not figured out what specifically is causing the issue.
- I tested the issue with
python 3.8.12
andpython 3.9.7
- Current Testing:
- Following is the
conda
revision log. - Prior to
conda update --all
this environment was working, but after the updates, plotting withmatplotlib
crashes the python kernel
- Following is the
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