pandas dataframe convert column type to string or categorical
You need astype: For converting to categorical: Another solution is Categorical: Sample with data:
pandas
Map to List error: Series object not callable
But I think you can omit map and use simple subtract and then convert to list: Also don’t use variable list (reserved word in python) rather L (or something else): Sample: EDIT: I try simulate problem: If change list to L, is important reopen python console, because still same error. So this works perfectly:
Count unique values per groups with Pandas [duplicate]
You need nunique: If you need to strip ‘ characters: Or as Jon Clements commented: You can retain the column name like this: The difference is that nunique() returns a Series and agg() returns a DataFrame.
Pandas join issue: columns overlap but no suffix specified
Your error on the snippet of data you posted is a little cryptic, in that because there are no common values, the join operation fails because the values don’t overlap it requires you to supply a suffix for the left and right hand side: merge works because it doesn’t have this restriction:
Deleting DataFrame row in Pandas based on column value
If I’m understanding correctly, it should be as simple as:
How to add an empty column to a dataframe?
If I understand correctly, assignment should fill:
Dropping Multiple Columns from a data frame using Python
To delete multiple columns at the same time in pandas, you could specify the column names as shown below. The option inplace=True is needed if one wants the change affected column in the same dataframe. Otherwise remove it. Source: Python Pandas – Deleting multiple series from a data frame in one command
How to filter Pandas dataframe using ‘in’ and ‘not in’ like in SQL
You can use pd.Series.isin. For “IN” use: something.isin(somewhere) Or for “NOT IN”: ~something.isin(somewhere) As a worked example:
How to add title to seaborn boxplot
Seems pretty Googleable but haven’t been able to find something online that works. I’ve tried both sns.boxplot(‘Day’, ‘Count’, data= gg).title(‘lalala’) and sns.boxplot(‘Day’, ‘Count’, data= gg).suptitle(‘lalala’). None worked. I think it might be because I’m also working with matplotlib.
Selecting/excluding sets of columns in pandas
You can either Drop the columns you do not need OR Select the ones you need