module 'pandas' has no attribute 'timegrouper'
ImportError: cannot import name 'TimeGrouper' from 'pandas' (F - Github But the above is a little unnecessary because you're only grouping on the index. What's the cheapest way to buy out a sibling's share of our parents house if I have no cash and want to pay less than the appraised value? What's the function to find a city nearest to a given latitude? How do I check if an object has an attribute? in this example it is equivalent to have base=2: pandas.core.groupby.SeriesGroupBy.get_group. If grouper is PeriodIndex and freq parameter is passed. I use TimeGrouper from pandas.tseries.resample to sum monthly return to 6M as follows: However I want to get the 6m_return starting 6m from 7/2008 like the following: Tried the different input options (i.e. Python pandas TimeGrouper() - So a solution to your question using Grouper is: df.groupby (pd.Grouper (freq='6M', closed='left')).aggregate (numpy.sum) Share. 5 years[name.year] = group.values, ImportError: cannot import name 'TimeGrouper' from 'pandas' (F:\Anaconda\lib\site-packages\pandas_init_.py). Already on GitHub? Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. greatglad it worked out (and I am going to open an issue about a defect in that: It appears other methods that work on normal groups fail when using the TimeGrouper. Ubuntu won't accept my choice of password. Any suggestions on what could be causing the error? BUG/ENH: groupby with a list of customgroup and string should work. ]}), gr = df.groupby(pd.TimeGrouper(freq='6M')), This will raise the Exception: "Exception: All objects passed were None". Why do I get "Pandas has no Attribute dataframe" Error? privacy statement. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Has the Melford Hall manuscript poem "Whoso terms love a fire" been attributed to any poetDonne, Roe, or other? Only when freq parameter is passed. pandas.DataFrame.resample# DataFrame. How to fix AttributeError: module 'pandas' has no attribute 'dataframe How do I select rows from a DataFrame based on column values? The best use of pd.Grouper() is within groupby() when you're also grouping on non-datetime-columns. MIP Model with relaxed integer constraints takes longer to solve than normal model, why? Groupby key, which selects the grouping column of the target. Find centralized, trusted content and collaborate around the technologies you use most. 565), Improving the copy in the close modal and post notices - 2023 edition, New blog post from our CEO Prashanth: Community is the future of AI. File "C:\Users\Administrator\site-packages\Ver6.py", line 3, in <module> abc = pd.read_csv('book2.csv') AttributeError: module 'pandas' has no attribute 'read_csv'. following lines are equivalent: To replace the use of the deprecated base argument, you can now use offset, By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Learn more about us. How do I get the row count of a Pandas DataFrame? (via key or level) is a datetime-like object. If axis and/or level are passed as keywords to both Grouper and . TimeGrouper that is suggested in other answers is deprecated and will be removed from Pandas. pandas.DataFrame.resample pandas 2.0.1 documentation 'Date' : [ module 'pandas' has no attribute 'dataframe'. is there such a thing as "right to be heard"? It is replaced with Grouper. What does 'They're at four. groupby, the values passed to Grouper take precedence. 2 groups = series.groupby(TimeGrouper('A')) pd.Categorical()categorical You write pd.dataframe instead of pd.DataFrame, 2. Interval boundary to use for labeling. Maybe you shall try to use the parameter explicitlylike freq=5min,this could be efficient. Only when freq parameter is passed. For full specification The workaround that seems to work is to add a month to the front of the dataframe to trick the TimeGrouper into doing what you need. ImportError: cannot import name 'TimeGrouper' from 'pandas' (F:\Anaconda\lib\site-packages\pandas\__init__.py)BUG. It works with "myfile.py" and probably anything else without "dateutil" in the name. You signed in with another tab or window. Could a subterranean river or aquifer generate enough continuous momentum to power a waterwheel for the purpose of producing electricity? BUG: TimeGrouper not too friendly with other groups, e.g. @jreback Yes, but that does not work for me either, because I need to apply a self defined function to the formed GroupBy Object. pandasExcel. Thanks for contributing an answer to Stack Overflow! A Grouper allows the user to specify a groupby instruction for an object. BUG: groupby(.., as_index=False) with a TimeGrouper ewma60 = pd.DataFrame.ewm(aapl_px,span=60).mean(), import os object. pandasread_excelpandas. DT.datetime(2013,12,2,12,0), ImportError: cannot import name 'TimeGrouper' from 'pandas' (F:\Anaconda\lib\site-packages\pandas_init_.py) The text was updated successfully, but these errors were encountered: All reactions. How do I get the row count of a Pandas DataFrame? This specification will select a column via the key parameter, or if the level and/or axis parameters are given, a level of the index of the target object. TimeGrouper_Hi~ unclexia-CSDN Improve this answer. should work, df = pd.DataFrame({ pandas.Grouper pandas 2.0.1 documentation I also checked directly in python: ```python Content Discovery initiative April 13 update: Related questions using a Review our technical responses for the 2023 Developer Survey, Calling a function of a module by using its name (a string). AttributeError: module 'pandas' has no attribute 'Dataframe' with In this article, you will learn about how to fix AttributeError: module 'pandas' has no attribute 'dataframe' in python. Not exactly sure why this is the case, but it's because of what you named your file. If commutes with all generators, then Casimir operator? pd.DataFrame.ewm(stock_data['close'], span = ma).mean() It's not them. The following examples show how to resolve this error in each of these scenarios. Pandas 1.0 rolling() rolling_mean(), pandasread_csv, Pandasread_csv, pandaspandaspandaspandasread_csvattributeerror: partially initialized module 'pandas' has no attribute 'read_csv'pandas, Pandas scatter_matrix Pandas Pandas , pandas read pandas.read_xxx() pandas , pandas core pandas pandas , Pandas tslib Pandas , pandas 'dataframe' , pandas , pandas series pandas.series , datafraeme read_csv dataframe read_csv pandas pandas pandas.read_csv() . It must not have liked "dateutil" in the file name. 'Quantity': [1,3,5,8,9,3], The following tutorials explain how to fix other common errors in Python: How to Fix KeyError in Pandas # rolling() rolling_mean() gr.apply(testgr) This will raise the Exception: "Exception: All objects passed were None" With previous Panda's version it was not possible to combine TimeGrouper with another criteria such as "Branch" in my case. Here is a reprex: import pandas as pd import numpy as np idx2=[pd.to_datetime('2016-08-31 22:08:12.000') , pd.to_da. This specification will select a column via the key parameter, or if the Suppose we attempt to create a pandas DataFrame using the following syntax: We receive an error because we wrote the word dataframe in lowercase. Why don't we use the 7805 for car phone chargers? It collects links to all the places you might be looking at while hunting down a tough bug. 'Buyer': 'Carl Mark Carl Joe Joe Carl'.split(), in Stuck on an issue? Why refined oil is cheaper than cold press oil? ``` df.set_index('Date').groupby([pd.TimeGrouper('6M'),'Branch']).sum(), I tried that but already but it raises the exception: "TypeError: 'TimeGrouper' object is not callable". Hello, I am doing some basic aggregation and boom, some weird bug occurs. How to Fix: ValueError: cannot convert float NaN to integer, How to Fix: ValueError: operands could not be broadcast together with shapes, How to Use the MDY Function in SAS (With Examples). cate1numpypandas.categoricalcategoriescodes Pandas To create a pandas DataFrame, we must write the word DataFrame in camel-case: Notice that were able to successfully create the DataFrame without any errors. Iterating over dictionaries using 'for' loops, How to iterate over rows in a DataFrame in Pandas. What is Module Pandas has no Attribute dataframe? Connect and share knowledge within a single location that is structured and easy to search. Summarising, Aggregating, and Grouping data in Python Pandas. Why the obscure but specific description of Jane Doe II in the original complaint for Westenbroek v. Kappa Kappa Gamma Fraternity? To subscribe to this RSS feed, copy and paste this URL into your RSS reader. from_codes 'Branch' : 'A A A A A B'.split(), Similar problem for me -- I had foolishly named my file csv.py which is a name conflict inside the pandas module and caused me to have the same error. Have a question about this project? the key in groups. loffset) in TimeGrouper but doesn't work. Connect and share knowledge within a single location that is structured and easy to search. Sounds like some sort of name collision. Find centralized, trusted content and collaborate around the technologies you use most. How a top-ranked engineering school reimagined CS curriculum (Ep. What's the cheapest way to buy out a sibling's share of our parents house if I have no cash and want to pay less than the appraised value? 3 years = DataFrame() We might also receive this error if some other variable in our script is named pd or pandas: To resolve this error, we simply need to rename the variable currently named pd to something else: Notice that we dont receive an error because we no longer have a variable named py or pandas. df.set_index('Date').groupby(pd.TimeGrouper('6M')).apply(lambda x: x.groupby('Branch')[['Buyer', 'Quantity']].apply(testgr)) # doubles the buyer names, If you return a custom function then you need to handle the string cases, but you can return pretty much anything you want (make it a Series) to get this kind of functionaility, you function is passed a slice of the original frame. df.rolling(window=10).mean() module 'pandas' has no attribute 'ewma' level and/or axis parameters are given, a level of the index of the target One error you may encounter when using pandas is: This error usually occurs for one of three reasons: 1. pandas.Grouper pandas 2.0.1 documentation I actually dont know where is the documentation about TimeGrouper. pandas( . 5. import pandas as pd import dateutil # Load data from csv file data = pd.DataFrame.from_csv ('phone_data.csv') # Convert date from string to date times data ['date'] = data ['date'].apply (dateutil.parser.parse, dayfirst=True) The above code causes the error: "module 'pandas' has no attribute 'DataFrame'". If you just need to group on a frequency, use resample().. For example, say you have: >>> import pandas as pd >>> import numpy as np >>> np.random.seed(444) >>> df = pd.DataFrame({'a': np.random.choice(['x', 'y . Hi jreback, thanks for your reply. Sorry but I do not understand your solution, how can I use it to groupby the TimeGrouper criteria and for example by 'Branch' ? Not the answer you're looking for? Sign in By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. match the timezone of the index. Python pandas.read_excel, Python pandas.read_excel #coding:utf-8 import pandas as pd import numpy as np filefullpath = r"/home/ pandastslibpandaspandaspandas, Pandas pandas.series Pandas Pandas , Pandas 'core' Pandas Pandas , pandasread_csvCSVCSVread_csvCSVDataFrame, module 'pandas' has no attribute 'read_xlsx'. Module 'pandas' has no attribute 'DataFrame', Summarising, Aggregating, and Grouping data in Python Pandas, How a top-ranked engineering school reimagined CS curriculum (Ep. Module 'pandas' has no attribute 'DataFrame' - Stack Overflow If I already use the simple function above with your solution: df.groupby(pd.TimeGrouper('6M')).apply(lambda x: x.groupby('Branch').apply(testgr)), It raises: "AttributeError: 'DataFrame' object has no attribute 'name'", This is basically a composition operation, you group by time, then apply a function, which happens to group by branch then operates, so u need to operate on the inner function, This is quite tricky in that your function should return a scalar value on the single passed series. pd.TimeGrouper() was formally deprecated in pandas v0.21. , tianhuabanjiayou: ,. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Is it safe to publish research papers in cooperation with Russian academics? [Solved] Module Pandas has No Attribute Dataframe How to iterate over rows in a DataFrame in Pandas. After uninstalling and reinstalling pandas and it still didn't work, I looked here and sure enough, you need to avoid using any of the module names as filenames in your project. Not the answer you're looking for? To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Copy link . Parabolic, suborbital and ballistic trajectories all follow elliptic paths. If you just need to group on a frequency, use resample(). What positional accuracy (ie, arc seconds) is necessary to view Saturn, Uranus, beyond? ', Reason 2:Some other variable is named pd or pandas, Another reason you may receive an error is if the file name of your script is, To resolve this error, you simply need to rename your file to something else like, How to Drop First Column in Pandas DataFrame (3 Methods). I got the same error locally until I renamed it. Is there any possibility to pass the Buyer column to the function? Suppose we attempt to create a pandas DataFrame using the following syntax: import pandas as pd #attempt to create DataFrame df = pd. I use Pandas a lot and its great. The timestamp on which to adjust the grouping. No problem, glad we could work it out! class pandas.Grouper(*args, **kwargs) [source] #. Sign in AttributeError: module 'pandas' has no attribute 'read_csv' - DaniWeb rev2023.5.1.43405. row/column will be dropped. Why did US v. Assange skip the court of appeal? TimeGrouper - The text was updated successfully, but these errors were encountered: You need to set_index as TimeGrouper operates on the index. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, @AndyHayden I think it is a strange bug as, How a top-ranked engineering school reimagined CS curriculum (Ep. in favor of pd.Grouper(). Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. By clicking Sign up for GitHub, you agree to our terms of service and How to iterate over rows in a DataFrame in Pandas, Get a list from Pandas DataFrame column headers, How to deal with SettingWithCopyWarning in Pandas. Take a look at Grouper instead. import tensorflow as tf DheerajPranav added Bug Needs Triage Issue that has not been reviewed by a pandas team member labels Apr 28, 2020. If you want to adjust the start of the bins based on a fixed timestamp: If you want to adjust the start of the bins with an offset Timedelta, the two AttributeError: module 'pandas' has no attribute 'TimeGrouper' Is "I didn't think it was serious" usually a good defence against "duty to rescue"? Content Discovery initiative April 13 update: Related questions using a Review our technical responses for the 2023 Developer Survey, Grouping Pandas DataFrame by n days starting in the begining of the day, Sort/create columns from a .csv of year-quarters with proportions for categories in an additional column, Create a Pandas Dataframe by appending one row at a time, Selecting multiple columns in a Pandas dataframe, Use a list of values to select rows from a Pandas dataframe. pandas: where is the documentation for TimeGrouper? Which ability is most related to insanity: Wisdom, Charisma, Constitution, or Intelligence? It is replaced with Grouper. Connect and share knowledge within a single location that is structured and easy to search. Embedded hyperlinks in a thesis or research paper, Two MacBook Pro with same model number (A1286) but different year. Any suggestion will be really appreciated! If the null hypothesis is never really true, is there a point to using a statistical test without a priori power analysis? How to replace NaN values by Zeroes in a column of a Pandas Dataframe? import date. Introduction to Statistics is our premier online video course that teaches you all of the topics covered in introductory statistics. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. document.getElementById( "ak_js_1" ).setAttribute( "value", ( new Date() ).getTime() ); Statology is a site that makes learning statistics easy by explaining topics in simple and straightforward ways. Making statements based on opinion; back them up with references or personal experience. module 'pandas' has no attribute 'read_excel'. What should I follow, if two altimeters show different altitudes? module 'pandas' has no attribute 'dataframe' - CSDN Hosted by OVHcloud. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. Well occasionally send you account related emails. Is there a generic term for these trajectories? Is there any known 80-bit collision attack? What is this brick with a round back and a stud on the side used for? Instead you could do: Conversely, here's a case where Grouper() would be useful: For some more detail, take a look at Chapter 7 of Ted Petrou's Pandas Cookbook. ', referring to the nuclear power plant in Ignalina, mean? The best use of pd.Grouper() is within groupby() when you're also grouping on non-datetime-columns. ``` Did the Golden Gate Bridge 'flatten' under the weight of 300,000 people in 1987? I am using python 3 and pandas is installed trough pip install pandas. What does 'They're at four. pandas read_xlsx read_excel Excel .xlsx read_csv CSV . categorical This will groupby the specified frequency if the target selection What is the symbol (which looks similar to an equals sign) called? I had earlier renamed the file dateutilagain.py and still got the error. Thanks and is it possible to combine TimeGrouper with another criteria? Short story about swapping bodies as a job; the person who hires the main character misuses his body. Is there a generic term for these trajectories? When a gnoll vampire assumes its hyena form, do its HP change. Pandas - Split dataframe into multiple dataframes based on dates? pandas . How is white allowed to castle 0-0-0 in this position? If False, NA values will also be treated as Can I use an 11 watt LED bulb in a lamp rated for 8.6 watts maximum? When a gnoll vampire assumes its hyena form, do its HP change? Selecting multiple columns in a Pandas dataframe. What are the advantages of running a power tool on 240 V vs 120 V? module 'pandas' has no attribute 'read_xlsx' - CSDN Making statements based on opinion; back them up with references or personal experience. DT.datetime(2013,1,1,13,0), Well occasionally send you account related emails. A Grouper allows the user to specify a groupby instruction for an object. Some other variable is named pd or pandas. DT.datetime(2013,12,2,14,0), Did the drapes in old theatres actually say "ASBESTOS" on them? Why did DOS-based Windows require HIMEM.SYS to boot? pandas 'dataframe' . The above code causes the error: pandaspandasimport pandas as p excelmatplot, hongweigg: I've used integers to help confirm that the sums are correct. I use TimeGrouper as well, and its great. I've noticed others have had the same question, but the proposed solutions don't seem to apply in my case. GroupBy using TimeGrouper does not work #3791 - Github dataframe ({' points ': [25, 12, 15, 14], ' assists ': [5, 7, 13, 12]}) AttributeError: module 'pandas' has no attribute 'dataframe' PYTHON : module 'pandas' has no attribute 'read_csv\rTo Access My Live Chat Page, \rOn Google, Search for \"hows tech developer connect\"\r\rAs promised, I have a secret feature that I want to reveal to you.\rThis is a YouTube's feature which works on Desktop.\rFirst, Make sure this video is playing.\rNext, enter the letters 'awesome' on your keyboard.\rIt will change your youtube progress bar into a flashing rainbow.\r\rHere's a brief description of who I am,\rHello, I am Delphi.\rI am here to aid you in getting answers to your questions.\rPYTHON : module 'pandas' has no attribute 'read_csv\rI encourage you to reach out through comments or chat if you have more specific questions.\rPlease feel free to leave a comment below if you have an answer or insights on the answer.\rI will 'heart' your answer as a sign of appreciation.\r: module 'pandas' PYTHON no attribute has 'read_csv pd.TimeGrouper() was formally deprecated in pandas v0.21.0 in favor of pd.Grouper(). Parabolic, suborbital and ballistic trajectories all follow elliptic paths. Is there any? For instance, Edit: Looks like this has become an open issue: #3881. I had tried a few variations of your solution None of which I could get working (hence the other issue I posted) :). Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. Asking for help, clarification, or responding to other answers. to your account, ImportError Traceback (most recent call last) privacy statement. What does the "yield" keyword do in Python? PYTHON : module 'pandas' has no attribute 'read_csvTo Access My Live Chat Page, On Google, Search for "hows tech developer connect"As promised, I have a secr. ': [25, 12, 15, 14], I keep getting module 'pandas' has no attribute 'DataFrame' and I can not remove and re-install pandas package; Pandas in VS Code: AttributeError: module 'string' has no attribute 'ascii_letters' Module Pandas has no attribute Dataframe; module 'pandas' has no attribute 'rolling_mean' Note the final [1:] is there to trim off the first group. Why refined oil is cheaper than cold press oil? 565), Improving the copy in the close modal and post notices - 2023 edition, New blog post from our CEO Prashanth: Community is the future of AI. Specify a resample operation on the column Publish date. Did the drapes in old theatres actually say "ASBESTOS" on them? , collections mutablemapping , https://blog.csdn.net/weixin_46713695/article/details/125416153, Captcha must be filled outKaggle, ValueError: Image size of 8000x66400 pixels is too large. Closed end of interval. Python37pandas.TimeGrouper() Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. DT.datetime(2013,10,3,10,0), BUG: groupby(.., as_index=False) with a TimeGrouper #17202 - Github @hayd is there a better way to do this you think? from pandas.stats.moments import rolling_mean Get started with our course today. The object must have a datetime-like index (DatetimeIndex, PeriodIndex . Thanks for your help. ord, Has the cause of a rocket failure ever been mis-identified, such that another launch failed due to the same problem? The problem can be solved by adding closed = 'left'. To learn more, see our tips on writing great answers. import tensorflow as tf TimeGrouper AttributeError: module 'pandas' has no attribute 'TimeGrouper' pd.TimeGrouper from pandas.core import resample resample.TimeGrouper( ) . What differentiates living as mere roommates from living in a marriage-like relationship? , 1.1:1 2.VIPC, AttributeError: module pandas has no attribute TimeGrouper, keypandas.TimeGrouper, keytime_key, 2301_77795200: The text was updated successfully, but these errors were encountered: TimeGrouper is deprecated. Find centralized, trusted content and collaborate around the technologies you use most. This specification will select a column via the key parameter, or if the level and/or axis parameters are given, a level of the index of the target object. ----> 1 from pandas import TimeGrouper Did the Golden Gate Bridge 'flatten' under the weight of 300,000 people in 1987? import skflow. Your email address will not be published. Thank you very much. {start, end, e, s}, Timestamp or str, default start_day, pandas.core.groupby.DataFrameGroupBy.__iter__, pandas.core.groupby.SeriesGroupBy.__iter__, pandas.core.groupby.DataFrameGroupBy.groups, pandas.core.groupby.DataFrameGroupBy.indices, pandas.core.groupby.SeriesGroupBy.indices, pandas.core.groupby.DataFrameGroupBy.get_group, pandas.core.groupby.DataFrameGroupBy.apply, pandas.core.groupby.SeriesGroupBy.aggregate, pandas.core.groupby.DataFrameGroupBy.aggregate, pandas.core.groupby.SeriesGroupBy.transform, pandas.core.groupby.DataFrameGroupBy.transform, pandas.core.groupby.DataFrameGroupBy.pipe, pandas.core.groupby.DataFrameGroupBy.filter, pandas.core.groupby.DataFrameGroupBy.bfill, pandas.core.groupby.DataFrameGroupBy.corr, pandas.core.groupby.DataFrameGroupBy.corrwith, pandas.core.groupby.DataFrameGroupBy.count, pandas.core.groupby.DataFrameGroupBy.cumcount, pandas.core.groupby.DataFrameGroupBy.cummax, pandas.core.groupby.DataFrameGroupBy.cummin, pandas.core.groupby.DataFrameGroupBy.cumprod, pandas.core.groupby.DataFrameGroupBy.cumsum, pandas.core.groupby.DataFrameGroupBy.describe, pandas.core.groupby.DataFrameGroupBy.diff, pandas.core.groupby.DataFrameGroupBy.ffill, pandas.core.groupby.DataFrameGroupBy.fillna, pandas.core.groupby.DataFrameGroupBy.first, pandas.core.groupby.DataFrameGroupBy.head, pandas.core.groupby.DataFrameGroupBy.idxmax, pandas.core.groupby.DataFrameGroupBy.idxmin, pandas.core.groupby.DataFrameGroupBy.last, pandas.core.groupby.DataFrameGroupBy.mean, pandas.core.groupby.DataFrameGroupBy.median, pandas.core.groupby.DataFrameGroupBy.ngroup, pandas.core.groupby.DataFrameGroupBy.nunique, pandas.core.groupby.DataFrameGroupBy.ohlc, pandas.core.groupby.DataFrameGroupBy.pct_change, pandas.core.groupby.DataFrameGroupBy.prod, pandas.core.groupby.DataFrameGroupBy.quantile, pandas.core.groupby.DataFrameGroupBy.rank, pandas.core.groupby.DataFrameGroupBy.resample, pandas.core.groupby.DataFrameGroupBy.rolling, pandas.core.groupby.DataFrameGroupBy.sample, pandas.core.groupby.DataFrameGroupBy.shift, pandas.core.groupby.DataFrameGroupBy.size, pandas.core.groupby.DataFrameGroupBy.skew, pandas.core.groupby.DataFrameGroupBy.tail, pandas.core.groupby.DataFrameGroupBy.take, pandas.core.groupby.DataFrameGroupBy.value_counts, pandas.core.groupby.SeriesGroupBy.cumcount, pandas.core.groupby.SeriesGroupBy.cumprod, pandas.core.groupby.SeriesGroupBy.describe, pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing, pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing, pandas.core.groupby.SeriesGroupBy.nlargest, pandas.core.groupby.SeriesGroupBy.nsmallest, pandas.core.groupby.SeriesGroupBy.nunique, pandas.core.groupby.SeriesGroupBy.pct_change, pandas.core.groupby.SeriesGroupBy.quantile, pandas.core.groupby.SeriesGroupBy.resample, pandas.core.groupby.SeriesGroupBy.rolling, pandas.core.groupby.SeriesGroupBy.value_counts, pandas.core.groupby.DataFrameGroupBy.boxplot, pandas.core.groupby.DataFrameGroupBy.hist, pandas.core.groupby.DataFrameGroupBy.plot.
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