Python answers related to “rename categories in pandas” ... rename a column dataframe which already does not have a name · how change column name in pandas ...
04.08.2021 · This might be due to updates in pandas >1.3.0. The command pbmc.rename_categories('phase', new_cluster_names) seems to be deprecated. In particular, the "inplace" option is no longer valid, so it seems that one can only create a copy of the renamed categories and store it.
On an advanced note, if your Series has missing values (as NaN values), these can be converted to a masked array: s = pd.Series([1.1, np.nan]) a = np.ma.masked_invalid(s) print(a) # [1.1 --] Share
08.01.2019 · I got AttributeError: ‘list’ object has no attribute ‘dim’ from this. My input for the LSTM is a list because the input supposed to be a time series input. But that creates a problem which I still I can’t seem to figure it out.
02.09.2019 · can you show the full traceback here? also are you saying densenet pretrained inference runs fine? Hamada_Fathy (Hamada Fathy) September 2, 2019, 12:17pm #3
Aug 04, 2021 · pbmc.rename_categories('phase', new_cluster_names) seems to be deprecated. In particular, the "inplace" option is no longer valid, so it seems that one can only create a copy of the renamed categories and store it. Hence, the new command should be pbmc.obs['phase'] = pbmc.obs['phase'].cat.rename_categories(new_cluster_names).
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07.07.2017 · 30. This answer is not useful. Show activity on this post. DataFrame column is a Series, and for Series you need dt.accessor to calculate days (if you are using a newer Pandas version). You can see docs here. So, you need to change: df ['days'] = float (df ['delta'].days) To. df ['days'] = float (df ['delta'].dt.days)
Nov 03, 2021 · AttributeError: ‘Series’ object has no attribute ‘strftime’ ... (it can be used to access the values of the series as datetimelike and return several ...
pandas.Series.cat.rename_categories¶ Series.cat. rename_categories (* args, ** kwargs) [source] ¶ Rename categories. Parameters new_categories list-like, dict-like or callable. New categories which will replace old categories. list-like: all items must be unique and the number of items in the new categories must match the existing number of categories.
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AttributeError: 'Series' object has no attribute 'reshape' So I checked pandas.Series documentation page and it says: reshape(*args, **kwargs) Deprecated since version 0.19.0.
AttributeError: 'Series' object has no attribute 'to_list' If you get that error, ... Step 2: Get a Numpy array from a series object using Series.Values ... Rename Column Names in Dataframe. Add Header To Pandas Dataframe. Convert NumPy Array to Pandas Dataframe.
Jul 01, 2019 · AttributeError: 'Series' object has no attribute 'split'. One way is to first create a column which contains no of words in the title using apply and then filter on that column. #create a new column. df ['num_words_title'] = df.apply (lambda x : len (x ['Title'].split (" ")),axis=1) #simple filter on new column.
Mar 04, 2019 · 1 Answer1. Show activity on this post. accounts ["Number"] is a Series object, not a DataFrame. Either iterate over accounts.iterrows () and take the Number column from each row, or use the Series.iteritems () method.